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Our company uses the solution for automations. As a portfolio manager, the key responsibility is to determine how to use our latest technologies for use cases. We identify use cases in various functions and buy software licenses for them. Once we buy licenses, we use the solution for end-to-end discovery of use cases, onboarding in-house technical staff for ongoing management, and collaborations for training or licenses. Our licenses are used by our technical team within our Center of Excellence. The team handles the end-to-end work that includes development, testing, quality assurance, and production. We are using the solution to its full capacity. Bots are at an optimum because we want to extract maximum value from our licenses. We plan to increase usage once we finish migrating from on-premises to the cloud.
We use Automation Anywhere to automate all the repetitive tasks that was previously done manually by individuals and to reduce the risk of human-errors so we can save time and money, It's like creating a digital employee that will work more quickly and accurately than humans. We mainly use it for the service desk tasks and to handle requests and also to create invoices and approving bills in finance and accounting departments, And we're implementing it into all of our departments since we found the benefits of it.
Parts of Automation Anywhere (AA) that we are using include IQ BOT, RPA products, and a human in the loop attended Bots as well.
We are currently using Automation Anywhere for a Master Card customer complaint bot that will log tickets on our top priority websites. When customers complain it can be logged directly or the agent logs it on one of our databases. The bot goes to the database and can pick up the ticket that was logged on a top priority website. It then becomes a role ID number to us for verification that has been locked properly. Third parties can take notes, then once locked, they can give the ticket to us. We did this procedure manually before the use of Automation Anywhere.
We are in services. We are consultants and we use these automation tools to automate processes for clients. I'm not using it for my own organization, however, I'm using it for clients' organizations. Use cases are largely cross-business process automation, back office automation. It could be used in finance or accounting. It could be in underwriting, if it's an insurance client, for claims processing. We have done automation largely in the lending space, including wealth management and customer onboarding.
We use Automation Anywhere to create robots. Basically, the purpose of this tool is if we have any employee doing daily repetitive work, where he does not have time to work on it but he still has to do it every day, we can automate those kinds of projects by using this tool, and we can reduce the burden on the employee. That is the basic use of the Automation Anywhere tool.
We do the implementation of Automation Anywhere.
We deploy Automation Anywhere in both on-premise and on the cloud. In past, most customers have preferred the on-premise deployment, but the latest version, which is 2019, is becoming popular because it's on the cloud. The customers who are using the earlier version, they're on-premise and new customers are using the cloud version. The trend is moving onto the cloud rather than on-premise. A few of our use cases for Automation Anywhere are for the HR departments, onboarding process, finance domain, month-end reports, ledger update, and AP automation.
We started out with accounts payable, and now, we're starting to do more vertical revenue cycle management in healthcare. We're starting to use it for other things. We're on version 11, but we're moving to 2019 or 360. We're in the process of migrating right now.
Automation Anywhere is primarily useful for any processes with repetitive data entry. For example, supplier invoice processing. This solution can be deployed on-prem as well as on the cloud.
I highly depend on the product for automation processes on most of our organization systems. It has been able to simplify most of the tasks and projects from the creation of bots that perform most duties. Our team members have focused on more productive duties that require human input leaving less operative duties to robots. Service delivery has improved and our customers are very happy since they can be served at faster speeds by robots. It has created a conducive working environment that has overseen our workforce team increasing production.
Automation Anywhere (AA) can be deployed on the cloud or on premise. For the cloud deployments, we have had customers using Microsoft Azure and Amazon AWS. I have been using Automation Anywhere in managing insurance business lines, such as personal property and commercial.
We are currently working on a vendor bill reconciliation process. It is in production now. We are also working on an incident management process for customer service. Within the customer services, there are four or five different processes that we are working on. All of them are incident management but for different categories at different levels. The next use case that we will be working on is bank reconciliation, and then we are planning to expand into HR for onboarding and recruitment. These are unattended robots.
Automation Anywhere is an RPA tool that is used to Automate any repeated simple/complex tasks with ease. Automation Anywhere is not perfect but it is still the best tool available in today's market. It is one of the simplest RPA tools, having a simple user interface, and it is very easy to get hands-on with this platform. It has vast learning resources available, too. Use Cases: * Extracting data from scanned PDFs: Using Automation Anywhere made it much simpler to scrape data from scanned PDFs and convert it into standard Excel format, as per requirements. * Portal Automation: AA makes web automation simple and our manual tasks have now been automated. Our portal is for making client bookings of the client. The Bot reads the Excel file shared by the user and accordingly, makes the booking in the portal with minimum time and with high accuracy.
Our primary use case is for invoice processing. It's a constructive tool that eases my work in desktops as well as web automation. The basic idea is to fetch the data from an Excel and use it as input for the desktop app and then the end result will be used as output and restored back in Excel to create records. There are innumerous functions available in the tool such as creating meta bot, keystrokes, error handling, email automation and many more. The repository is very manageable. The tool is quite feasible and easy to understand even for non developers.
We primarily use the solution for universal scanning. As an example, the solution can take various service provider bills and will allow us to view all of them in Excel format. That's a very basic use case.
My primary use case is for Medical Content validation and Ecommerce Process follow execution and analytics with data available.
Automation Anywhere provides a tool for RPA. We can create software bots that mimic humans. The RPA solution is created to work for repetitive tasks and to use human resources for a creative perspective. Automation Anywhere provides the best feature to make a software bot for processes. We use it for SAP, HRMS, SQL, etc. Environment: we have a V11.x environment and A2019 cloud-deployed environment on AWS Cloud. Right now we are doing a migration process from V11.x to A2019.
We use AA for automating ServiceNow tickets in Caterpillar. We get tickets for the configuration requests. Using AA, we auto-download the excel attached to it and do all the necessary cleanup and conversions. The entire process in steps as mentioned below: 1. A ServiceNow ticket is created by the client that needs a configuration request related to Caterpillar machines. These machines are called lane 2 and lane 3 because they are manual configurations 2. Once we get the configuration we then try to match the configuration with all the parts and whether the configuration would be possible or not. For that, we use SOAP where all our latest data is loaded. This data is compared with the Excel sheet that client sends us. The cleanup is done in Automation Anywhere, compared to end to end, and then output is thrown out. This output is then given back to the clients in the form of a ticket attachment to let them know if the configuration of the machine that they have requested is possible or not.
I automated Server applications like SAP, ERP, CRM, etc. With SAP, we can use different kinds of automation like BAPI with MetaBot and the SAP GUI with DLL automation. One of my uses cases to help understand how we use AA is email-related. First, we used to get emails, and based on this as input, we needed to trigger some events in SAP. Depending on the resulting error, we needed to delete some records and further, needed to generate DB for some records (daily around 1,000 records). This is a repetitive process that happens every day. Mmainly, we implemented SAP tasks related to customer support functionality. We also use it for the creation of PowerBI reports related to sales.
We use this solution for all the business processes and mainly to integrate with Excel files, our database, and our ERP. We basically process data that are in form of Excel, PDF, or CSV formatted files. We also interact with information that is stored in our database. Generally, we automate a lot of processes that are repetitive and time-consuming. We work mainly with processing data, thus reducing the time needed to do the process manually. The workforce is also reduced for completing simple tasks like logging in to a forum, as well as complicated tasks like banking or finance. All of these all possible.
We use Automation Anywhere to automate business processes for insurance clients. Automation Anywhere reduced the manpower up to 80% with a high return on investment. The process which we automated can complete the entire workload within 10 days when the normal process would have taken around 30 working days. Apart from this, we automated password reset processes which saved time and effort and also enhanced security. We are also automating the deployment process for new process setups. Bot Stuck Automation is helping us to keep track of the bots that are stuck for long time.
We have a long list of customers and multiple use cases in pharma, account & finance, customer billing & payment, and other domains. We use AA to automate those tasks that need less or no human interaction. The reconciliation tasks, SAP and Excel operations, are automated using AA, take less time, and give accurate results. Working with MetaBot provided simple drag and drop functionality, integration of DLL of SAP, Outlook, Excel and other application make tasks easier for developers. Customers are happy with overall performance of bots and it makes the developer's life easy.
I have used Automation Anywhere for automating different use cases which involved applications such as Excel, SAP, PDF, Salesforce, Outlook Web applications, Desktop Automation Email automation, and many more. I have automated many processes that involve report generation using Excel, invoice processing, order processing, BPO related processes, and many more. It's safe to automate processes that involve secure credentials because Automation Anywhere provides an encrypted centralized credential vault.
Use case: Extraction from Main Frame Application Solution : The bot will log in to the email box and then picks the invoice no, order invoice amount, and surcharge details. Based on a single line item and multiple line items, the bot will log in to AS400 and feed and check all the information. If there is a discrepancy then the bot will update it based on the tolerance limit. If there is no discrepancy, the bot will accept the orders. The bot will validate costs in Excel and AS400 application and it will allocate cost for each invoice.
We use Automation Anywhere to automate business processes for better accuracy, time reduction, and scalability. An Automation Anywhere bot can work for 24 hrs. I worked for KYC Reconciliation processes in Automation Anywhere which consists of data extraction from PDF with the help of IQ Bot and extracted information entered into companies web portals. In the process, clients give us invoices through the mail and te bot identifies mail with specific subjects, downloads invoices, uploads invoices to IQ bot, and downloads CSVs to specific folders, and validate CSVs and upload CDVs to the web portal.
The primary use case of this solution in my environment is to use bots to extract the important logistical information from each of the customer Microsoft Excel sheets. Next, the information is transferred, to be entered into the government official logistics documentation. Prior to submitting the data to the company warehouse management system, it is checked and balanced. The same needs to be done before submission to the official government website.
I am a developer and I have developed bots mainly for insurance companies. Most insurance companies in my country usually have big problems trying to transfer data from one application to another, this hence has made it very difficult for them to be up to date with their entry. Usually, they are faced with a one month lag since they employ humans to do the work for them. In addition to this, the data transfer usually contains a series of errors, and in that area accuracy is very key. A slight mistake can end up ruining things big time .
Our primary use case is for building RPA automations on this platform to automate and execute business processes. There are various use cases implemented for various end-users by our firm and the environment infrastructure is complex and stretched across multiple systems. Financial processes such as journal posting, invoice processing, PO and non-PO order processing are automated with the help of Automation Anywhere across a spectrum of applications such as SAP, PeopleSoft, and many other financial applications and across various domains.
Automation Anywhere Enterprise RPA was used in conjunction with Automation Anywhere IQ Bot and Automation Anywhere Bot Insights to reduce the time taken to process a mortgage application by automatically verifying the applicants, the address, title, and scheduling a settlement meeting. The automation solution extracted information from or entered data into more than six applications including four major bank web applications. The environment included a Control Room server, an IQ Bot server, a bot runner machine, all running windows server 2012.
I started my career in RPA and the first tool I learned was Automation Anywhere v11.3. Within a month, I learned the tool and was Master Certified in it. I had noticed that the majority of clients for my company demand developers who know AA well. I wondered why, with so many other tools available, why clients are so interested in AA as the only RPM. This is when I realized that AA is much easier, more reliable, and has value for money also with good and vast customer support.
We use the platform to help our customers by building automation solutions in order to solve their business problems. The use cases include AP processing, form data extraction, data collection, and Excel reporting. We use a combination of RPA and IQ Bot to deal with semi-structured or unstructured data, such as documents and images. We also use Bot Insights for business process analytics and bot operation health checks. The platform is deployed using an on-premise configuration and connected to multiple bot runners, running in virtualized environments.
We use it to automate all kinds of business processes. The primary use case is the RPA platform, even though they have the cognitive platform and the analytics platform. We use it for so many different things it's hard to focus on one, but it's automating business processes in our banking system. We're interfacing a lot with Excel, our ERP systems, some legacy systems, the databases, file folders, text files, CSVs. It's hard to pin down one. Through the software, we have been able to reduce the time that we spend on manual, repetitive tasks so that we can focus on activities that add value to the business or to our partners and customers. The most important things are saving time, increasing control, and increasing automation.
We use this product to automate business processes with higher accuracy, efficiency, scalability, and robustness. The projects include applications like SAP, SAP BOBJ, SAP BI, and a few legacy enterprise applications like Oracle EBS, and Oracle BI Discoverer. These applications can be easily automated using Automation Anywhere, and integration with Outlook or Gmail for email, so that automatic responses can be set, is something else that can be easily included. In a few of our environments like HR and finance, where the process runs with higher priority, Automation Anywhere works perfectly.
Our primary use case is for building Solutions involving RPA bots. We have implemented two standalone infrastructures each with A2019.16 Control rooms. Multiple Developers are working using the tools and commands in A2019 to create bots that will be deployed for clients to address their business requirements. The infrastructure is running on the private cloud . The control room is running on the latest Windows server and the latest Windows SQL server is running the control room database. Developers use VMware Virtual desktops to execute their bots. Chrome and IE browsers used by the developers.
We use Automation Anywhere to implement robotic process automation solutions for complex and time-consuming scenarios, especially legacy systems, SAP, & mainframes. I have recently used Automation Anywhere successfully for a system that is very old, and didn't even have API support. In fact, the creators are no longer providing support for their product, but we successfully implemented the solution and helped the client to reach their customers. The other use case we have implemented is for invoice processing, where there are a number of templates available.
My primary use case is the automation of manual tasks involved in Order to Cash and Procure to Pay. During the digital transformation of a company, the number of internal portals and applications increases leading to an increased number of data silos. TCPL has successfully implemented a bot to synchronize data flow (including document files viz. docs, pdfs, images) between its in-house developed install portal and Microsoft Navision ERP. TCPL has automated the AWB tracking of all outbound shipments to get latest updates on all our shipment movements, take timely corrective measures to ensure our customers receive shipments on time. This helps in ensuring timely order deliveries which results in higher customer satisfaction and lower DSO as we can collect on time only if we deliver on time. Other bots are: Vendor Invoice Processing and Data Entry Accounts Receivables Data Entry
We are an SI vendor. We have been implementing customer-facing solutions for processes like reports generation, bank reconciliation, payroll processing, etc. There were different bank statements generated for reconciliations. With some standardization, we were able to automate a process that took more than 4 hours in under 15 mins. In one of our customer implementations, the environment was to use simple RPA functionalities without any complexities. We achieved it with the basic pack of AA license.
We have use cases that include cognitive as well as non cognitive requirements. IQ Bot is widely used across all the use cases. We are also looking forward to make use of the Excel ribbon and AARI framework. One of our use case needs is to extract data from KYC documents and then do the validations to submits the rejection reason. Another use case is to read customer information for FD booking and validate the customer data with the system's data and book the FD in the specified amount of time. Similarly we have around 12 use cases for the development/UAT.
The environment is within a Citrix environment. Our primary use case is for interaction with mainframe applications along with web links and Excel spreadsheets. The bot interacts with the Excel spreadsheet, captures the task, go to the mainframe application, and pastes it with searching details of the task if it matches different details. It populates in the Excel spreadsheet if it is matched or not matched. There are numerous logics used in it. AA bots do the verifications and give an output in the Excel spreadsheet which becomes an input for the agents on the production floor.
We have automated desktop applications, web applications, SAP applications, invoice processing through IQ Bot, as well as other projects. We have been achieving high accuracy with a maximum success rate.
The primary use of this tool is to automate the business process end to end for different finance towers. We have automated the following processes end to end with the help of Automation Anywhere: R2R: In the R2R tower we have automated the process of uploading the backup files in SAP. Manually it took around 7 working days to upload 10k documents to SAP. With the help of Automation Anywhere, we are able to upload 10k documents in 1 4 working hours which is a great achievement for us. We managed to save 5 FTE by automating this business process.
The main and primary use case using Automation Anywhere is "Invoice generation", which has repetitive steps and a huge amount of data. For this automation, we worked on a database, Excel, and mail activities. In order to connect Automation Anywhere with our database, which is in a remote location, we had to install related drivers in the working machine. After that, we apply some business logic to the data and insert it into an invoice template that is in XLSX format. Ultimately, we save the file as a PDF and send the output file to the user through email.
Our primary use case is to automate the Client's workflow of reading a ticket from ServiceNow and then assign it to different bots which in turn performs the validations of the tickets with respect to different regions of the client's parameters. After the completion of the validations, the bot will update the ticket as per it's status and then send the hourly output report to Client's operations team. In between, if the bot fails, system exceptions or some business exception scenarios, human team will do the rest of the task.
My primary use case is automating the reports from SAP for various domains like accounts, billing, shipment, etc. AA is consolidating the reports for these various domains across different employee numbers and order numbers, then sending them to different business owners using the SMTP server. This reduces human intervention and effort. This automation helped the functional people to focus on other tasks instead of looking into these, and this saved around 50% of the total effort of the day. Since business users receiving reports on time and with accuracy, this helped us in achieving better customer satisfaction
Project 1: Built an unattended bot to automate a complex Audit process for a healthcare client. There are 90+ bots deployed and it is processing 1000+ cases of different types every month. Project 2: Built assisted bot for a healthcare client. It was used by customer service representatives. Unfortunately, this process was not used for a long time due to latency issues and a functionality gap. Project 3: Working on migrating the Audit process automated using Automation Anywhere v10.5 to the new version, A2019.
I use Automation Anywhere in the banking and private sector. I work in a private company, where I do a lot of processes like MasterCard, MIZA, and ATM errors. For example, in the case of MasterCard, I download a lot of daily files from the Express MasterCard program, I upload the files to a special server, and then I activate the downloaded files. I take a copy of the files and paste it in the folder of the MasterCard on the date of the download and in the end, I send an email after completing the task. In the case of an ATM Error, this task is very important because through it you can get all errors in the ATM and know the cause of the malfunction and whether or not you need human intervention to fix the malfunction. Most banks need this process to help solve ATM problems.
Our primary use is a bot to look up accounts from Excel to the source system and entering it back into Excel.
We have used Automation Anywhere in SAP Automation, Billing Block release, sales office creation, generating reports, and daily monitoring activities. Regarding business flexibility and scalability, once a series of instructions are given to a software bot, as many bots as required can be quickly deployed to perform the process. This includes processes of any complexity, thereby increasing scalability and flexibility overall.
The AA architecture was as suggested by the AA technical support team. We had one server dedicated each for the control room, bot creator, bot runner, and DB server. The servers were hosted on cloud services offered by Microsoft Azure. Our primary use case included mostly the internal operations orchestrated by the IT team. It included processes like automation of AD ID creation, updating, and deletion. Other services were offered to the Business and Finance groups, Human Resource department, and marketing department.
We use AA for Training and Proof of Concept purposes. OS: Windows 10 Task: Automate Excel files consisting of quality data. Multiple Task Cloning Automated Email Sender Object Cloning The basic requirement was to extract a big Lot of data consisting of many attributes. We need to extract out a relevant attribute from the DB data set and process it such that it fulfills client Data Quality requirement. Filter out quality data using Manual intervention was a hectic task and that is why I used AA RPA tool.
We get many banking and finance use cases e.g. reconciliation, accounts payable, etc. from banking clients which involves the extraction of unstructured data from various scanned and true PDF documents. Post this, the data needs to be validated and triaged before feeding it into SAP and Java-based applications. The Automation Anywhere platform has always stood out from the rest of the solutions available on the market given we have IQ Bots and Bot Insights neatly integrated into the platform which enables us to develop rapidly and train the learning instances using pre-defined domains over the purchase orders, forms, invoices that need to be processed. Post extraction of the form and data fields from the documents we post them into SAP and Java-based applications. Automation Anywhere's ease of automation with these types of applications helps to deliver consistent and reliable automation in record time. We are currently using AAE 188.8.131.52 Client with Control Room, IQBots, MetaBots, Bot Insights, and AA2019 capabilities.
We use it in the field of banking, especially for repetitive tasks in card centers. We use automation with IBM BAW tools. It's helpful in creating new customer accounts, as we work with other systems that have no API or services to work with. The process starts in IBM BPM and it calls the robot to finish the work by calling other systems like iScore and T24. These add customer details and retrieve scores for the customer, especially when working with loans (personal, car). We used it in sending and collecting emails to and from different sites.
I am a Digital Transformation Consultant & my role revolves around suggesting, recommending & implementing the best automation solution across to my clients. Some of them also include: a) Lower operating costs b) Faster ROI c) Ability to be more competitive Giving the right automation solutions can reap major benefits. Understanding these benefits—and some obstacles—will help us develop support for an operations automation project. The primary benefits of operations automation cited most often were cost reduction, productivity, availability, reliability, and performance.
We use Automation Anywhere for automating our processes.
I have used AA to automate window-based applications like SAP, Microsoft Dynamics AX, Database, Microsoft Office (Excel, Access), CSV/TXT file, folders based operations, etc. When it comes to web-based applications, AA really shines. Automation applications Share-point, Blackline Reconciliation, Agile point submissions, and Web-based reporting exercises are in real-time. When it comes to the database AA also works pretty well with SQL and Oracle by executing CRUD queries.
Automation Anywhere has been useful to implement business solutions that were previously performed manually by the business Team. We have been using it to automate applications such as Excel, PDF, Web applications, Windows applications, Outlook, Word documents, and more. Using it will help reduce the time and improve the efficiency of the project, and also to reduce FTE. Our organization also uses IQ Bot and Metabot for projects that require cognitive capabilities. Also, the OCR extraction helps in reading data from PDF.
I mainly used AA to extract data from invoices from PDF files with multiple formats and to upload this data to a Data Lake, on a Windows machine. Other projects involved extracting data from Excel and CSV files and then inserting them into custom applications, databases, and mainframes and finally sending recap emails to the user. The Bots developed, according to the end user's needs and the type of process, were both attended and unattended. In both cases, the end-users were always satisfied with the functioning and performances of the Bots.
I am using IQ Bots for invoice indexing for many clients. My primary use case is extracting invoice details from different vendors for validation purposes. We convert CSV files to Excel for formatting and before A2019, I used to do all validations with VBA script. Now, with AA A2019, it validation very easy using Python. It is also very fast and efficient. I have created Task Bots for many finance-related clients and they are also working very well. Recently, I converted all of my bots to A2019.
It is primarily used for automating manual processes in Project. Automation was carried out in a two-way process, downloading files from client email and scanning values from PDF file. Post these values were compared with thresholds and return mail is sent. Most of the process is carried out in the Windows environment and the Gmail suite is used as the target output location. It also included SAP application BEx for downloading the file as an Excel sheet and sent as an attachment to an email. This was all implemented in AA, and saved a few man-hours in Project.
Our primary use case is for automating daily routine jobs, where I have saved a lot of time. I have enhanced my automation knowledge. We have automated the daily reports and it will trigger automatically once jobs are completed from the backend database which has saved a lot of extra work for our team, saving workforce and time. The implementation of the bot is easy and can be built in less time when compared to the other automation tools. No coding knowledge is required to build the Automation bot. It's very as simple, easy to use, and maintain.
I automated an application launched through the Citrix environment. The application was running on the SIT environment. Our application was a legacy desktop telecom domain application that runs on a Citrix environment. It was a very difficult task to automate our legacy application and we have seen only one tool which was able to successfully implement the automation. I have come to know about the AA tool and wanted to try this tool. And we are successfully able to automate a few of our flows with high accuracy and we have since then used AA for some of our functional executions on our legacy desktop application. I have also implemented AA for the business process of logging into the work machine, opening remote desktop, and triggering some jobs during odd times. We have also made use of AA to keep our remote desktops active so that they do not get logged out and become a hurdle for our tasks during non-office hours.
I have been using A2019 for validating IC reports and scorecards that we publish every month for the client on a portal. As the reports are around 200, it used to take a lot of manual efforts previously to get this done, however now, A2019 has helped in automating the complete validation part. Apart from this, the other major use case is validating the child level reports with the parent. Though the underlying reports are generated from the parent itself, validating individual reports just to add another level of the quality check was a tedious task initially, however, A2019 has made it very easy in comparing the two excel based reports end-to-end
I primarily use Automation Anywhere for: * SAP Automation using DLL MetaBots. * Salesforce Automation using REST APIs. * Citrix Automation. * Teradata Automation. * Oracle Application Automation using MetaBots. * Automate Mainframe application. Details: Salesforce Automation Automating the salesforce application to create the case ID and update the chatter field accordingly using the API. Through the Bot, we are processing the case number with all of the required operations and at last, changing the case status with the API. Environment: We are developing the Bot in the dev environment first, and later testing is performed in the UAT environment. If everything looks fine then we move it into production.
Primarily we use it for automating back-office operations processes. Some of the most frequent use cases are: 1. Invoice processing and proofing. 2. Reconciliation 3. Automating Timesheets 4. SOW invoice creation. 5. Creation of Credit memos 6. Pulling data from SAP and generating a report. We use VDIs to deploy. Client & runner environment is mostly Win 10. Most of the bots are scheduled. Some organizations still use the manual click on the run button method instead of scheduling or running from CR.
Automation Anywhere is an RPA package for basic Automation to Complex Automation. It also has analytics and cognitive capability. I have used Automation Anywhere in many use cases from PDF integration to Excel reconciliation. The best use case was invoice processing using IQ Bot. In this process, we download PDFs from an application and pass it to IQ Bot for the extraction of invoice data. This helps in extracting data from PDF documents and use it to post the invoices. This is something that we had done in a single dev environment, where Automation Anywhere was on-premises and secured in terms of sharing details for data extraction. I have also explored other products from Automation Anywhere including IQ Bot and Bot Analytics. In addition, I have provided POCs to customers with Attended Automation 2.0 and the Automation Productivity Pack.
The use cases I have worked on made use of automated flow across multiple applications along with processing Excels and emails. We were also able to leverage a single tab for processing the entire flow of the record across three different applications. We also used the Analyze package to view the Business dashboard in the dev environment. The only drawback was that the export of the BI dashboard to the other environments is not yet available. The environments used were dev, staging, and production. The bots were exported out and imported into each environment.
The primary use case depends on SAP and Excel platforms, where we automated repetitive tasks. Also, we automated the Tableau server using this. We use SQL DB for storing logs. We have been using it for one year for our client. The support also is great. If we are stuck, the Automation Anywhere team comes to the rescue. I have worked on other RPA tools but this is more logical and easy to use. The flows and the commands can be easily learned by a beginner as coding knowledge is not needed.
Earlier, our payroll process required a lot of human intervention or human dependency as we have Biometric Application and Payroll Application separately. To complete the payroll, we first need to manually fetch the attendance from the Biometric application and manually upload it to the Payroll Application. We have used it for an HR use case, wherein the BOT automatically fetched attendance from a Biometric application and it uploads it in the Payroll system, and calculates payroll automatically. It also sends emails to all respective employees with their respective payslips.
* Automate and Digitization * Process understanding * Finding gaps in process * Process re-engineering * Process mining
* Automating frond end and back end office jobs. * Automating tiring jobs - Automation Anywhere is used to Automate many jobs that are repetitive. * To deploy a digital workforce and optimize productivity. * Report generation. * Revenue forecasting. * Beneficial to QA processes. * Data validation and auditing. * Data replication and migration. * Customer Relationship Management and other operational sales activities RPA helps to Automate these jobs perfectly.
Our primary use case is for the automation of output reports in Excel.
Batch JOB processing and Monitoring which was a manual activity earlier. We've done a lot of automation with the product in the last two years. We started with accounts receivable processes in finance. I would say the AR function is one of the most mature functions in the product right now because we almost automated all the aspects of accounts receivable. We have also started looking at automating the accounts payable process as well. I've only mentioned finance at this point, but we also have done a lot of automation with IT, as well as with procurement. Right now, the penetration is higher with the support functions but we are also looking at different ways to automate. For example, we would like to use automation technology in core engineering. We also want to be expansive and do projects beyond our current boundaries — outside of just India. We've already done a small PoC (proof of concept) with a company in China and we also automated three small processes with a U.S. entity. We use it daily and have done projects with support functions, such as financial services, IT, and procurement support. We have 50 to 60 processes that have been automated using RPA in all three areas put together. This is the breadth and extent of what we have automated. We are using the on-premise deployment model.
We automate mundane and repetitive tasks for our clients, like invoice processing, purchase order creation, sales order creation, refund processing, transaction chargeback, and many more. These tasks are basic and require no special skillset, hence are an extra cost to the company. By automating them, the company saves a lot of manpower, leaving them to better utilize their resources for a more value-added task. This ultimately leads to a better return on investment.
Currently, our primary use cases are for the automation of medical appeals and charge processing. We are currently on the 184.108.40.206 version in our production environment in a HA configuration. We use bare-metal servers for our production Control Room. All of our bot runners are Windows 10 virtual machines. We are in the process of adding A2019 IQ Bot and Control Room servers into our production environment. In our Dev/UAT environments, we have added A2019 Control Room and IQ Bot servers in addition to our v220.127.116.11 servers.
Automation of AP 3 Way Invoice Matching Process. Details from PDF invoices with the corresponding data in terminal. This project involved applications like Outlook, Aurora Terminal, PDF reading by IQ Bot, and Excel. The current scope of the project was to process around 600 invoices per day from 20 different suppliers which has saved a lot of time for the end-user. It has been deployed in production and the customer is pretty much happy with the performance of the bot. On-Premise installation of CR with 1 runner and 2 creator license. IQ Bot 16GB RAM
Primarily we use this to get rid of the time-consuming and repetitive tasks such as sending TDS certificates to the client according to their PAN details, invoice processing, and collecting data from online websites. Processes related to the invoice, Sales Order, and Purchase Order are commonly used so as to avoid time delay and increase efficiency. We have also developed bots to browse to share market sites and generate a report on the Top 10 Gainers and Top 10 Losers, which has been scheduled, and the report gets mailed to all at ease and on time.
We have used AA for multiple applications that were to be automated. We're interfacing a lot with Excel, scanned PDFs, image files, databases, file folders, text files, CSVs, and web applications. It's hard to pin down one. The tool can interact with SAP and Oracle which helps us automate the application faster. Mainframes can be automated and Citrix applications can be automated. We use it to automate all kinds of business processes. The primary use case is the RPA platform, even though they have the cognitive platform and the analytics platform. We use it for so many different things it's hard to focus on one. Now AIML is also incorporated which is a current requirement and an added benefit.
Our primary uses for this product are: * We are using Automation Anywhere to automate client processes. * The processes are ranging from SAP automation, Oracle automation, and mainframes like AS400. RPA has been implemented for a few of the legacy applications as well. * Both the Attended automation and Unattended automation have been implemented for many of our clients and they report satisfactory results. * We are using Automation Anywhere IQ Bot to scan documents for clients, as well as for internal processes. * The automation solutions provided to our clients them are running seamlessly.
We are using this product for the development, running, and monitoring of automated processes. We are using IQ Bot for advanced tasks using cognitive technology.
Our primary use case is the comparison of field-level capture status of English invoices done using UiPath Document Understanding, with a converted CSV header and table-format CSV file of invoices done using IQ Bot A2019.
I primarily use Automation Anywhere A2019 to professionally develop RPA bot solutions for our clients and our own internal uses. I personally use the free community edition for personal practice and personal projects outside of a work environment. Our organization has A2019 Enterprise on an on-premise server, but for my home use, I simply log in to my community edition account from my own desktop computer. Our clients use a variety of on-premise and cloud-deployed installations for whatever their specific use case is.
1. Attended automation - contact center automation, assist agents in navigating through the right process - Guided assist on-screen navigation for call center agents 2. Workforce reporting automation, we extract reports on agent availability and different AUX codes and report to leadership. 3. Plot agent time between multiple applications. 4. Real-time alerts to agents on their AHT & after call work beyond the threshold. 5. Real-time reporting on beyond threshold cases to leads. 6. Processing tickets between CRM & client applications.
We mainly use it for Financial Documents processing to conduct payments to registered Vendors. Invoice reception via a central mailbox on the server; Extraction of said PDF invoices via the IQ Bot cognitive platform using the ABBY OCR, as it is by far the most effective for our processing requirement; Consolidation of each individually extracted file into a central Batch processing file; Upload of central batch processing file into a stand-alone approval system, developed on IBM Xpages; Approval of uploaded files, from a central batch file, for payment; Upload of each invoice record in a third-party processing system such as Sage Evolution / SAP. Payment is done via a batch file generated by a third-party payment application.
Our use cases include email filtering to get rid of spam, phishing, and many more. Workflow automation has helped a lot with cost reduction, greater accuracy, and delivery speed. It then continues to add value as it picks up momentum and spreads across the organization. Workers now have more time on their hands to use their intuitive minds to think about great ideas. All we do is train our digital workers, then they do the work 24/7- 365 without any errors, unlike humans who need time in the day to rest. They are the best part of the business.
We are using MS 2007 Windows OS mostly with IE and Excel operations. Anyone can write code with AA software with basic coding knowledge, we just need to know which command will help to build the next step. We had developed almost eight major processes and a few POCs for different clients. As we worked mostly with Web and Windows applications, we had used most of the commands related to Web and Windows applications. We can say bot accuracy was 95% in the final result. Bot consumes around 12 minutes to process 1 application, where if a human performs the same they would take a minimum of 18 minutes on average.
Automation Anywhere is one of the simplest RPA tools! We primarily use it for data scraping from PDFs. AA has helped me to get the data from scanned PDFs with a higher accuracy rate, automating multiple formats, and maintaining its data in Excel format. In this scenario, the user emails a PDF to the Bot email ID, the Bot downloads the attachment & scraps the data from it. As per the format, the data is pulled and maintained in Excel, in a standard format. The Excel file is then emailed back to the respective user.
For us, the primary use of Automation Anywhere bots is to automate the business, administrative, and financial aspects of businesses. We have automated many tax reconciliations and also automated the monthly salary slip generation for all the employees. In business processes, the purchase order and invoice generation scenarios have been automated. Automation of Salesforce entries has also been done with Automation Anywhere, which has significantly reduced the burden for employees and made their day more productive.
My primary use cases consist of the following: * Filtering and manipulating multiple Excel, CSV, XLS files to gather relevant data as per the business requirements. * Extracting text from searchable and non-searchable PDF files and uploading the data to separate output files or web-based forms. * Scheduling tasks to run on a daily basis or implementing trigger-based process execution. * Implementing email automation in various modules. * Working with external macros and JScript files, depending on the given business logic.
I have used AA to automate various business processes varying from HR and AR teams to Sales. Starting with HR, we have automated various processes from auto-downloading the data and uploading it to a database without human intervention, to combining multiple file data into one. For the AR team, we have automated the process to download data from the server and generate the AR report, then updating the dashboards for senior management. For Sales, we created a form where the Bid Manager would update pursuit details and the tool would pull that data and then send the request to required teams for SPOC allocation.
We have applied AA to our customers. KPMG another solution they use. Streams like HR, payroll are reasons that AA may have been chosen in an environment. Use cases like report extractions, SAP interactions, HR data, and many payroll automations have been put into use. We used UiPath and Automic before AA and I feel the difference very clearly and I am sure there's a long way ahead. Sensitive data handling departments are usually not allowed or exposed to automation but I do not see such limitations when it comes to AA.
I am working for a company that is engaged in process automation. In our company, we have used AA in several projects like finance process automation, payroll, accounts payable, and account receivable processing. Each of the projects that I have engaged in is different from each other. For example, the finance automation project mainly focused on reconciliations, Excel automation, etc. AP and AR processes mainly focused on front-end navigation through the Chrome browser to download invoices from customer portals and upload and process them in their accounting application, which is also a web-based one. Automation Anywhere assisted me with all the functions that I require to automate the processes and tasks.
We had been handling various daily reports that need manual Excel work. We have now automated those daily tasks using Automation Anywhere, saving an enormous amount of time on the manual effort. It is now human-error-free. The Screen Recorder feature is the feature that I like the most, as it can automate anything on your desktop screen by recording your actions or the cursor movement. This makes it easy to learn and configure for any type of environment when it comes to automating regular tasks.
The primary usage of this solution is for the development of software bots using this RPA solution for various customers, and also for in-house process automation. Bots have been developed for various domains like Automotive, Banking and Finance, HR, Housing, etc, and across various end-user software like Oracle, SAP, QAD, Terminal applications, etc. As a first step towards having companies direction move towards emerging technologies, getting the right skillset available for adding Machine Learning, Artificial Intelligence, NLP, etc, so that we could provide a complete end-to-end solution to the customers.
I work as an RPA developer where I use the Automation Anywhere software.
Automation Anywhere is being used as a solution in creating robots, which imitates mundane tasks and simplifying business processes all across different divisions and departments that fit their process needs. This solution greatly helps us reduce repetitive human effort and turn them into more productive resources for the company. Automation Anywhere also helped in turning complex processes into possible solutions, which greatly reduces production costs, also allowing employees to do more and enjoy more.
The problem statement is to automate data reconciliation between three systems, namely SAP, Ariba, and manually-updated Excel. Supplier and Purchase data flows in from different systems and separately, which sometimes results in data inconsistency. In the current scenario, two people spend two days per week to verify and reconcile this data and then save it. This is a big cost and investment for the client. The ask from Automation Anywhere is to automate this process, including a re-upload of the data back to the systems with results of reconciliation. This way, there is no manual effort spent.
We are working for the Telecom industry, so there are multiple orders that come every day for service changes, add, and disconnect, so we have automated repeated steps using Automation Anywhere. We use the Schedule feature to run an Unattended Bot, which gives a structured report prior to office hours, and we can directly start manual steps once we log in or come into the office. It is easy to automate SAP by using Cloning and Metabot. We can easily perform actions on a vendor-based tool that is specially designed for the Telecom industry or for database purposes. Real-time mail notification is useful when reporting Bot status.
We used AA for all of our healthcare clients for multiple use cases. We have automated most manual steps of Claim Adjudication, Claim Pre-Work Validation, Overpayment Recovery, Triaging, Quoting Census, etc. In the front office side, we have automated Provider Calls as attended solution which helps Agents to take calls hassle-free while Bots gather the required information from multiple applications. We have automated KFI process where AA OCR identifies the CMS1500 form run it through IQ BOT and further post it on the target application.
We are proposing a documentation solution like archived files, payroll, and integrating data between Excel forms and CRM/SAP. We have a solution for how to digitize archived files into PDFs and distribute them to a dedicated folder. We use Excel forms to manipulate data, then the physical data will be scanned and contains the date, which will be input by the user manually. After that, the bot will execute the process for distributing the file, and finally, will send a report to the user. We use analytics as part of the result.
Our primary use case is automation development supporting internal business operations at KPMG. We have 100+ live automations, with v10 and v11 deployments.
Automate Business processes pertaining to various business units. We used Automation Anywhere Control room and different versions of AA 10.x and AA 11.x to deliver Robotic Process Automation Solutions for different clients. Automation Anywhere helped multiple clients to save a lot of data entry time and have automated almost every repetitive task. AA control room helped to manage the operations of both Attended and UnAttended automations and have helped a continuous run of the bots saving hundreds of thousands of dollars.
We have been using RPA for the past seven years and have dealt with a lot of other RPA vendors. We have many use cases across all of the verticals like technology, HR, Finance, Mortgage, Insurance, etc. The current one, on which we are focusing is Mortgage use cases. We have proven experience in all of the verticals with different use cases. Especially when it comes to the environment, there are no restrictions in that regard because it's all based on the client's requirements and their expectations as well. There are a few clients that came with a Citrix gateway, others use the VDI based approach, and still, others bring their own operating systems.
The primary use case of this solution is that we are automating repetitive processes such as daily currency calculation, data entry in the EPR system, email reading and sorting data, extracting data from webpages, and extracting data from invoices. We also use automation for data massaging on Excel data, database connectivity, PDF data extraction, scheduling bots, and the validation of extracted data from webpage or invoices. We use error handling to point out which of the bots are failing. We are using v11, A2019, and IQ Bot.
Our case was downloading the invoices from an Oracle Application. It involved web and desktop applications and the setup was done in a Citrix, where the AA tool and required applications were installed in a secure environment. Using Object Cloning for a web application, we extract a record of a company code for which all the invoices need to be extracted, based on month and year. When the company codes are available then all the invoices were extracted, applying the proper logic in the Oracle environment (Similar to SAP). Proper logging and exceptional handling were supported. Testing was done in the Dev and Test Environment and finally deployed to PROD. The Bot was scheduled as per the customer requirements in the Control Room, to be executed as per the demand.
All of our solutions are implemented mostly for banking. We have an offline biller, which is for reconciliation & settlement of offline biller data operations. We have similar automation for online billing. The ATM (Automated Teller Machine) monitoring is automated. This includes the monitoring of operational processes on mutual fund & bonds transactions (upload and reconciliation). We have a process for reconciliation of the billing statement before sending data to the customer. DRI: Reconciliation charge back & note for SICS (AS400). We use eight Bot Creator instances, nine Bot Runners, and two Control Rooms.
We use automation for a tax invoice process, finance process, and human resource process. In the tax process, it collects all tax invoices from a folder, then AA reads a QR code on the document to confirm, then extracts it to an Excel sheet for the success process and failed process. For finance, AA calculates the tax type on each project. After that, AA inputs the data into the ERP system for further processing. For the HR department, AA will shortlist the candidates on the portal. It will then send an email to qualified candidates to follow further instructions for testing. Then, AA will collect the results of the test and send them to the HR staff to process further.
We have been using Robotic Process Automation for the configuration of newly issued cloud environments and building cloud IT solutions. Automation Anywhere Taskbots are being used to build Oracle Cloud environments by leveraging Excel files containing the configuration details. The Automation Anywhere Taskbots will scrape the Excel files in a dynamic way to configure the product using the most appropriate method for the data provided. The Taskbots effectively match equivalent human inputs, rather than configuring from the backend.
Our primary use case is assisting clients in automating redundant, repetitive tasks to drive value and efficiency.
Any repeated user steps would be a good use case for Automation Anywhere. There are also many other use cases that are proactively using the cognitive solution. We are mostly using it for audit, finance, quality assurance, procurement, and the reconciliation of various reports. All of these use cases helped to improve the business team efficiency and they are now effectively involved in the analytics of the data prepared by the RPA process.
I work in the Management Consulting domain and hence am working with huge amounts of data, using advanced Excel formulae and creating reports and dashboards for clients is a routine. I primarily used the RPA AA2019 to automate and streamline few weekly reports which track KPIs (Key Performance Indicators) for few products. Also, I automated the process of Quality checks which we perform after creating the reports. Another use case that I have automated is sending a Zoom meeting invite through outlook. The user only needs to enter a few details like attendees, date, and the time of the meeting.
I, being a Robotic Process Automation Developer, extensively use various Automation Anywhere products on daily basis. I use Automation Anywhere for end-to-end implementation of processes for clients, as well as my organization. We have many use cases. One of them is from the marketing department. Every organization needs to market their products and services to get future clients. The marketing people used to mail the prospective clients one by one manually, as per their mailing list. They used to spend approximately one minute on each email. We created a bot that helps the department in sending emails to prospects with product information, service information, brochures, etc. Now, the department needs only to specify the content file and an Excel file having email IDs, and the rest is done by the bot. It sends approximately 500 emails within 10 minutes. That makes the process of sending emails extremely fast, including customized content.
We have used AA for telecom industry repetitive processes, public retirement firms processes, and financial bank processes. The development has been with local developer desktops, remote VDIs, EC2s, as well as RDP clients of sorts for the individual company preferences. We are currently building an Azure environment for our A2019 solution internally, with a VDI as our developer/UAT environment. Production will be a separate VDI operating from our main control room instance, as we create Bot Runner agents out of those VDIs for production. I also deal with many federated lines of business, as they often develop locally and use attended automation as their source of RPA for their lines of business. Others utilize EC2s as their developer and UAT environments and have a separate production import process that keeps the separation of duties intact. Though this is not as productive as that team expected, they use it temporarily until their control room can be migrated and upgraded into A2019 instance as part of another line of business currently building out a sandbox environment for the remainder of 2020.
We are using Automation Anywhere to automate manual processes and make the organization digital. We have replaced most of the human resources and we are utilizing them for more valued tasks. Now, the other business users are attracted by the output of it and are approaching us to automate their processes in their respective lines of businesses. We started at version 10 and moved to version 11x. It is more powerful than the previous one, but the new cloud-based RPA has attracted us more and we are migrating to A2019.
I start using automation anywhere for my first project to automate HR process. For HR, one of my customers uses a lot of manual processes in their company. They manually update reports in Excel and have a lot of use cases that trigger emails to staff. Examples of emails are applications for training or requests to top management for approval. By using Automation Anywhere, we can help our customer manage their data by connecting the Bot to the database and automate emails that are sent between staff and the top management.
Our primary use has been to automate a few mundane tasks in the organization, which really helped us in this COVID situation. As most of the people are WFH and we were not able to connect to each and every individual, it helped to ease everyone's tasks and ensure they were completed on time and without errors. Because of this, our customers are happy and our vendors were able to help us in terms of meeting our customer satisfaction and not compromising on anything. This has become the new normal for us and we have started adapting to it.
The product is used to automate mundane and repetitive business processes and in turn, increase process accuracy and headcount benefit. The primary area this tool focuses on is automation in RPA. Service-based companies use this tool to provide automation services to organizations who would want to go on a digital journey to cut their expenses, or to organizations who focus on helping their employees get rid of mundane tasks and provide them more efficient and oriented tasks. Digital implementation would be the primary focus.
My primary use case starts with downloading an inventory file in IE and then storing it in the database. This uses DB variables that interact with the banking application. Through its automating system of generating quotations, it is much easier for us to track back the same customer data. It is giving us a real-time capability for generating reports. Automation anywhere has equipped us with amazing tools including Bot Insight, IQ Bot, Discovery Bot, etc. The Discovery Bot is used to search the entire task in the system that can be automated. It keeps much value in our organization. Extracting PDFs is very easy using Automation Anywhere. Its strong points are that it is easy to use, easy to deploy, easy to share, and has multi-user support. Different devices can be used to execute the bot. The Bot Store provides some utilities for free, which can then be integrated into my workflows easily.
Our primary use case is for automated digital invoice signature validation. The bot is designed to create a successful or rejection incident in ServiceNow based on validation output, and then uploads the email attachments received in Outlook for that particular invoice to respective SFTP folders.
The primary use case was related to automating a daily job, which involves a lot of manual effort and was error-prone. We did involve RPA to automate the job and also have a pretty useful notification system in place too. We had a requirement of pulling in data from a location, dumping it all into some spreadsheets, and then applying logic. Once that is complete, the distribution also needs to be controlled, and we have achieved all of this by implementing RPA. There are also use cases for us where it is still a work in progress, including tasks in finance/accounting, and HR as well.
We primarily use Automation Anywhere to automate Windows applications and Web applications. Both of these are easily automatable with the advanced Automation Anywhere commands, which are user-friendly and easy to use in the Financial & Banking services industry. It can be used to automate the PDF processes, Microsoft Word, as well as Excel. Without manual intervention, the bot can make its own decisions based on the business rules, and its timely actions make the bot to run smoothly. This saves the users' time and compared to manual processes, the bot reduces the effort and time, with it safely run from the control room.
We have so many use cases. One of them is in finance. We have a finance portal where the team updates the billing records. Based on the Excel input, the file bot creates entries in different modules based on conditions. One error bot maintains a log. It takes value input dynamically and the tool is very flexible so in case of any changes in the future, the developer or user doesn't have to change the code. They can do it with the help of configurable files. At the end of the process, the bot sends an intimation mail to the end-user with the bot execution status.
We are using this product to automate various BPO processes, where the manual operation team currently does them manually in my project. The process we are currently working on has multiple applications and the API integrated, so we get details from the API and feed those into the front end application. We then process and update the status of the policy in another application. The main interaction involves retrieving data from a set of applications and feeding it into other applications. Therefore, AA is mainly used for handling end-to-end processes that are compromised of all of the business validations.
We work for a credit card client. There are a number of manual processes that can be done with Automation because the processes are truly rule-based and absolute for Automation. We delivered 10+ end-to-end solutions using AA version 11. A few examples are managing customer surveys, managing credit limits for a card, commission payouts, tax recovery, insurance claim documents, etc. In the above solutions, we worked with web applications, desktop applications, databases, Excel sheets, and other file formats. Automation Anywhere is easy to maintain and works well for years without any issues in production. We achieved good ROI and STP with AA in the last two years. We are happy to use AA as an enterprise version.
Being a QA analyst, I am involved in testing my application's stability on a daily basis. A2019 helped me in automating the repetitive process that I have been doing every day. Once I get familiarized with A2019, I am planning to discuss with my teammates how to implement it into our project for all of the new requirements. Our primary use cases are smoke testing of the applications, sending email for reports, stability testing, API testing for REST services, database testing, and pulling data from Excel and using it in applications.
We use Automation Anywhere to automate web-based administrative tasks. For example, we have a task to extract Excel reports from a site to gather issue tickets information, filter and compute the data, and store it to the SharePoint site. This is done manually and takes five hours to complete daily. Using Automation Anywhere, we created a bot that extracts the data from the site, filters and computes the extracted data to generate the report according to required output and format, and uploads the report at SharePoint.
We are using AA to automate business use cases, which includes applications like SAP, ServiceNow, Outlook, etc. We use Windows Server for the Bot Runner, Bot Developer, and Bot Creator. The Control Room is installed in an on-premises hosting. We have multiple clients here at HCL and we used AA for many clients and automated many use cases. We provide AA setup for customers as well. We install, manage, and set up AA for customers to use, which makes it easy and can be expanded whenever they want.
We use AA for automation of daily mundane tasks, which allows me to focus more on tasks that resonate with my interests. These are Excel-based daily tasks. We also use it for: * Automation of long, rule-driven tasks that only require some fixed mouse clicks & keystrokes. This saves time and reduces human error * Deployed bots to work alongside human counterparts for cross-communication between legacy and new platforms. * Automated data entry and data validation workflows for 24/7 output. * IQ & Discovery bots for more complex use cases that require image processing & artificial intelligence.
We primarily use this product for Web Applications, Outlook, and Excel.
Our use case is to extract information from web applications. We use this tool to perform an end-to-end process flow that includes extraction, execution, and updating. The product is simple to use and provides a good base of functionality out of the box to cover most automation scenarios. It is also very extensible in that functionality can be added through the use of class libraries, and AA works as the glue between several processes at our company. Many times, it is the quickest and most effective solution to implement right away, while other solutions require exponential amounts of support. I am updating my review score to be slightly higher due to its expanded realm of use cases I have explored and successfully implemented.
I have automated the applications that we use for daily checks. We automate the application health check functionality, capture the result in an Excel sheet, and share it. By using this, we are saving time and we no need to do routine work, as it is now automated and the result is shared with all of the end-users. We are able to navigate if any further application changes. It captures all of the day-to-day activities and monitors the jobs at the time we specify. It helps with all technologies.
Our primary use is to provide a digital solution with a view to delivering robust, time-efficient, and error-free solutions to business customers. The requirements for every customer are quite different depending upon their return on investment measures, the need for automation in their organization, etc. Other than that, I as an individual have found a fondness towards the product, which helps me automate all of my day-to-day activities. They are monotonous and the bot can jump in and make my work life such that I can breathe a little easier. My environment varies from customer to customer.
In one of my insurance domain processes, I need to extract the details of customers from an input Excel file and I need to update details like Address, DOB, and Names, all based on their requests in a web-based application. With respect to our environment, we used Excel commands for doing operations and we faced a few Excel issues in production. Everything was fine in Dev and QA. Then we used Excel as a DB and it provided a permanent resolution.
We used Automation Anywhere to create and integrate a solution that is suitable for a dynamic application. We had a business challenge where things were dynamic in terms of the environment, and we need to integrate into a CICD system.
My primary use case is to minimize the manual, repeated work done across the organizations and putting Bots in place for more accuracy, fastened process timings, and employee satisfaction. Our major reason for implementing the solution is to reduce the FTE count and allow them to realize the benefits over a period of time. The primary use of this tool is automating areas like HR and admin. It is easy to implement and most of the shared service areas are getting relieved by implementing Bots as part of the process.
We are a company operating in the banking industry and we use the platform in deploying robotic process automation for executing various functions from customer service management. The automated processes include ticketing, data extraction and analysis, and business intelligence, among others. It helps us automate our functions and this has brought a positive effect into our workflow and we have been able to grow our productivity. The platform is versatile and users across the spectrum and in various industries are able to acquire it and use it intuitively.
We have used RPA technology to build solutions which are across discipline and cater to end to end business process. At the start, we were performing use cases that primarily dealt with the Project Control group as most of the manual activities are based on the Excel operations which are either Macros based or involved tedious manual upload to the system in a periodic manner. Later we moved our strategy to cater to the more enhanced solutions which were primarily digital solutions involving - OCR, AI & ML. We were focusing on the Engineering Drawings which were more Unstructured & had the potential to create a Digital Workflow using the unstructured information.
We have multiple use cases, we build & supported 200+ automations and one of the main businesses was related to the contract processing and due to high volume and complexity, it was very crucial. Also, we built and supported multiple operations related use cases. We have built and implemented multiple SharePoint, OutLook, web-based, and automation related to ticketing tools. Automations were from simple to medium and high complexity related however with the help of many easy to use and user-friendly features, we have implemented them with high accuracy.
* We have validated all the primary features of A2019. New features can be added just by updating the new Package (a group of commands). * Pass Credentials in CR Directly to run a bot on any device. * Instead of installing AA Client, we will just install Bot agent on the runner machine. * Excel commands are classified into two types Excel Basic, Excel Advanced By giving a lot of scope to use a wide range of Excel operations. * Instead of using AA Client, A2019 provides users the ability to create bots directly in the control room. * Flow, List, Dual Views enable the user-friendly environment.
I am a platform architect for the RPA so I deal with all 3 major RPA vendors. I build the Infra for all big setups. I have immense experience plan, design, and building the setup on cloud, on-prem and with different configurations. I implemented AA in different environments, the AA installation is the smoothest compared to other RPA software installs. Migration is a little challenging since it requires direct integration with DB, credential vault and all that. Since multiple credentials are involved, it is a challenge to get all the credentials, it should be easier if only the control room credential was required. Versioning migration is still a challenge.
We are in the Oil & Gas Sector and our use cases are completely different from standard Industry Use Cases (BFSI). We work upon Engineering Drawings as the Data collection point and IQ Bot plays an important role to perform the tasks. We have built use cases which were involving the Finance Business processes, Procurement process, HR process and also we have developed solutions which were catering to Shared Services in Malaysia where value derived was quite substantial as its cost center and any automation creates a value add to them.
I am using this tool to automate one process in a Citrix environment. The process is used to launch one website from which data is captured. After this, another application is opened and the data is pasted into it. The result is our final structured data.
We primarily use this solution to automate manual processes of limited or negligible value in terms of up-skilling personnel.
I work in the logistics industry. Right now, we have different processes and use cases that we are using it for. * It is extracting information, partial information, and real information. This is one type of use case. * We also use it for the company accounting related information that we are doing. * We get different types of rates from different windows. We are using it for that process. These are the high-level three use cases that we are currently working on.
We normally use automation to interact with SAP applications. Our platform is entirely built on SAP. We are mainly a manufacturing company. We interact with SAP and do a lot of things, like invoicing, entering the value in SAP, and so on and so forth.
We are planning to introduce a bot for every employee in the organization. There are around 9,000 employees in our organization. We are trying to introduce a bot for each one. That's our use case currently. We are working on how to improve their day in, day out life, how to make them work efficiently, removing repetitive tasks from day-to-day work, and give them important tasks/solutions that they are supposed to work for.
In our own company, we are using it for own employees. They are building bots for our own employees.
It has made our life easier during the interim process with what we do in the banking sectors.
I have overall 10 to 12 years of experience in RPA. I started RPA doing VBA. That seemed like I needed coding, and for coding alone, I wasted more time. I came to know Automation Anywhere, which is a product that automates RPA processes in an easy manner. I was interested to learn it. I had an opportunity to attend training for Automation Anywhere for almost one month. I started with version 10.5. It was really interesting. From the beginning, before I interacted with Automation Anywhere, I thought that I would also need to code something using the details, then it will take more time. That is not the case. If I want to automate something, I can easily drag and drop. There is any function that I need for a business case or some critical thing that I need to automate, then we can create a condition, have a API, use Excel automation, or do everything together.
I have had an opportunity to work on Automation Anywhere a lot. I have worked from version 8 of Automation Anywhere through versions 9, 10, now 11, and they are going to launch a new platform A2019. I have also worked on other modules of Automation Anywhere, like IQ Bots, MetaBots, Bot Insights.
In our company, we are following a different structure in this case: How we are going to develop the tool and what are the key nodes that we need to concentrate on. Though, we always concentrate on this type of information. Lastly, we are talking about the accuracy of the output. These are the scenarios that we are coding all the time.
I am leading a team of RPA COE. I'd like to explain something about the organization. We are a pioneer in mortgage real estate. For more than 20 years, we are serving US based clients and mortgage banks. The main purpose of using the Automation Anywhere is to have something which is more than RPA that is artificial intelligence. We wanted to combine all these skills so our client can get all the benefits. We do not want to train our bot constantly. We want to have something which has a self-learning bot. This is why we opted for Automation Anywhere and are using IQ Bot. Because we have a machine learning compounded into it, which means by using this tool, our bot is self-learning so we don't need to train again. That was the primary reason.
We have headquarters in London and we also have a presence in the US, Dubai, and a global development center in Hyderabad. We specialize in digital services such as our own chatbot platform, and we are also working on a specific OCI platform called PixTract which would complement existing RPA tools as well as many other projects which are relevant in this scenario. As we are a partner of Automation Anywhere, there are quite a few use cases that we believe can provide good solutions for most organizations. We are looking at showing that Automation Anywhere is a good solution in terms of automating a lot of centers out there. There a lot of mundane tasks which happen in such centers and which include a lot of processes. I believe that automation can really do a lot of justice [in such cases]. It could be invoice processing in insurance or it could be claims processing in any type of insurance. [It can be used for] automating a lot of manual processes. I see a lot of areas where we can actually do it. As we speak, we are talking to an insurance company. We are planning to have a PoC on their invoice automation and I see great potential with it.
We have quite a few use cases that we have built. Not one, but many. I see a lot of value in the cognitive part of it: the IQ Bot. In the traditional RPA market, people have been doing it for a very long time now.
In the digitization space, Automation Anywhere has some of the new bots, which are really good. This is making the invoice digitization as a use case quite helpful. The user interface is very interactive and easy to use. At the same time, for giving results, it looks very impressive. That is the use case that we are working on currently. That is one of the best use cases that I have dealt with from Automation Anywhere.
When we started using Automation Anywhere, it was the elimination of mundane tasks, to free up employees who were doing repetitive tasks, and to ensure they could do better quality work. So, we started off with the finance department, where we permitted our accounts payable, as in the billing process. Now, we have slowly moved on to other departments, like HR, quality, and projects.
I've been part of multiple bot automations ranging from different sectors from finance to retail to banking over four years during which I have implemented multiple bots. The primary use case for Automation Anywhere is something related to financial and banking operations. Because the financial and banking operations are something which we do repetitively and need to be done with a lot of time. A perfect use case for RPA is something which is repetitive and has a lot of work. Use cases in the financial and banking sectors are something where we have multiple invoices to process multiple transactions. These two sectors are important sectors as use cases for RPA.
We are using Automation Anywhere for multiple automation processes. There are multiple clients with KPMG who have many automations going on. In finance and accounting companies, they ask for report generations and record fetching from some data source type of tasks. They want it to be fetched and exported into forms, charts, etc. using automation. The task will happen when triggers are required based on some data sources. It is the data that will be exported and sent over mail. These tasks are mainly focused on organizations.
We'll be discussing our implementations for Salesforce and using Automation Anywhere to automate sales for processes within the organization. We focus mainly on sales and BFSI.
I started my career in RPA tools. It's five years for me working in RPA. I have automated different type of use cases in different businesses, like finance, insurance, banking, capital marketing, and manufacturing. There are a lot of areas where I have implemented use cases using the Automation Anywhere tool.
I have worked across many different type of RPA use cases that we have done, starting with finance, manufacturing, and banking. The use cases are tremendous. There are many. Thankfully, being a technical person, I've also learnt a lot about business processes. Personally, in my career, I have not just developed my technical expertise, but also using RPA and the Automation Anywhere tool, I have engaged a lot of vision as to how the business and the finances process work across different direct industries so far.
Processes which have a decision making and do not have any required rule-based are considered for automation.
I lead the automation team in UI. In the UI, we automate mostly PDF and shared devices, then most web applications. For large volumes, we mostly automate PDFs.
I actively participate in doing all the data analysis and robotics things in the company. I work for a Genpact. Its a Genpact India, which is privately maintained. It's a US-based company. We work for a different type of a client. It's not only about healthcare. We work for a financial domain and financial development domain. We deal with different types of analysis, where we apply all types of robotic automation processes along with machine learning algorithms, if required. It all depends upon the client and what they require to done on their behalf. This solution is all about robotic process automation (RPA), which we deal with. We know that in real life, we have hectic work day-to-day and the volume is increases. Doing manual intervention leads to error. That's why everywhere it feels like we are implementing robotic process automation. In a traditional way, we used to use that RPA console, but this tool helps us do RPA and saves us time, improving our quality. This is required at any level to get a better ROI.
We use it to develop bots. Use cases: We do Excel operations if we have to download any file from a portal to do any Excel operations. We send these outputs to our business customers. Bots are specific for each customer.
When we started Automation Anywhere, it was a rule-based automation. All the rule-based used cases we could automate. Now, with the upcoming version, it includes AI and Python, so we can go ahead in our roadmap and start automating dynamic used cases too.
We generally do stuff to automate websites and SAP that we have in our company.
We did the PoC in 2016. It was mainly in the services process. We were more focused on the company billings, where there were multiple subprocesses and sub business units. We have did the complete landscape of more than 15,000 FTEs. We are talking around 153 different work types. As the main lead, I was to provide the real-time support to the customers who needs us to fill out required details. That was a completely repetitive task. We decided to conduct a PoC on that, which we did.
I'm responsible for the digital practice within the tax business. We are building a lot of our solutions using the Automation Anywhere platforms, both with IQ Bot as well as the regular RPA, in which we offer it to our clients. I belong to the tax practice. My role is to see how we deploy technology to increase the efficiency of tax departments and help build new revenue streams from technology in the process . We work with our clients offering digital solutions in the tax space. That's really what I do for a living. We have had a lot of success using Automation Anywhere products. We've actually built a few solutions that were done on the EY cloud, which are offered to clients as a managed service.
In Concentrix, my role is as an asset manager. It's very much focused on the RPA practice globally, which is why we come from enablement to delivery and support. End-to-end is something that is managed by me. One thing I really like about Automation Anywhere is the product has actually taken leaps in the last three years. We started with the conventional RPA type of use cases. But, in the last two years, with the help of IQ Bot, and what I learned today about this Attended Automation 2.0, I think they are addressing vital key challenges that we have faced so far. The description on top of the description is what their model is. They're partnering with us in this journey of transformation. The type of technology advancement that they have done will certainly help us a lot.
I work for KL University as an associate professor. I take care of internships, placements, and industry connect. I'm the associate dean of internships, placements, and industry connect at KL University. In our university, we have started a center of excellence in association with Automation Anywhere. This robotic process automation tool is very important in terms of distal transformations. The majority of students are doing a lot of robotic projects with the help of the bot that we have established in our university. Another way that this tool helps is professors are doing a lot of researching initiators in terms of automation, wherever there is automation, there is the possible usage of RPA.
For us, it was about driving process efficiencies. We have an awful lot of processes that need to be completed when we are placing candidates in roles to ensure that the engagement for both the candidate and the client is successful. So, that might include compliance activities, ensuring candidates get paid, and ensuring that work places are safe for people to turn up to so they can go home to their families safe at the end of the day.
We are discussed specifically the IQ Bot from Automation Anywhere which has excited me a lot because of the functions that it brings. They are really commendable because I have seen a lot of other software and solutions which are not giving that much accuracy in terms of the output. But, IQ Bot has been one of the top-notch solutions that I have seen in the OCR field, which covers a lot of the areas where we can transition unstructured data into structured data. This can be utilized in many use cases, like accounts payable, T&E processes, and so on and so forth. That's why I'm very excited to talk about IQ Bot.
We started off with accounts payable type of processes. That was our proof of concept. We built that within two or three months. It was highly successful, then we got a high level of endorsement from the wider organization. From there, we moved into academic processing where there's a lot of opportunity around the processing of student results, assessing students for admission into the university and handing out offers to students. There are a lot of things in that academic space which are highly manual. Often, these take quite a long time to process, so there's a clear benefit to the student by reducing the cycle time, which has led to great benefits for the organization.
I will be talking about some of the leading products from Automation Anywhere, which is their RPA Taskbot and IQ bot. Being a consultant and partner, we have implemented successfully some solutions for Automation Anywhere using IQ bot and Taskbot.
We use this solution for automating tasks such as: * Manual journal entries on monthly closing * Travel and expense claims processing * Net sales monthly closing checks * Logistics master data maintenance for every new shipment * Vendor creation on master data for every new demand * Order confirmation reminders automated for vendors
We use this solution to automate the following task: * Open MS-Excel-File from Folder * Update the data with keystroke-command * Wait for calculation of the result * Save the file * Loop the command above for each file in the folder * Send email-notification to the task owner * Send Quality Check to task owner (.pdf-command) * Error handling (where applicable)
We use this solution for building RPA to automate business & finance processes.
We mostly use it on engineering processes. We also use it for finances in SAP — uploading, invoice creation, etc. But we have mostly focused on our engineering processes. An example from the finance area is when we need to invoice a customer. We open our SAP account and upload all the data into SAP, create an invoice, and send a notice to the finance team that the process has been completed. They then move the process further along. It's a daily type of operation, whenever such requests come. We are using the on-premise version because the cloud version (A2019) is not out yet.
We are using it in all departments: management, sales, human resources, IT, and customer service.
The primary use case would be to do automated processing using Excel with an application, even SAP. We use it for extracting data tables, clicking on data, recording records, and extracting the records table. We use it for all the Excel operations. We updated Automation Anywhere already to version A2019 with all the Excel operations.
Our use case is spread across multiple areas: * We are using it in finance: automating the month-end process. * There are a lot of review processes that happen every week. We are in the middle of that. * We have a product lifecycle management process that when we close the books on a product, information needs to go into multiple systems. We have another bot in system for this. These are the three things that we have in production right now.
Our primary use for the product is to automate business processes. Mostly this means financial processing. We have a lot of use cases in finance. For finance alone, we have 30+ bots in production. Other bots are for a variety of other business uses like the supply chain, networks, and business processes. We have 400+ bots in production as of now, all together. We have automated business processes, like finance, supply chain, network systems, and payment systems. We are using it on-premise and migrating it to the cloud at the end of the year.
Our primary use case is for our shared service center that is located in Kuala Lumpur and Manila. These are our key target areas.
We use it more in finance and HR processes, such as payment processing or validation of data. It is used to validated data from two different systems or putting that data into an application. There are multiple use cases.
There is not one specific use case in the sense of what we use the product for. In the broader scope, it would be automation. But right now we have several applications. We started our journey with the tool in 2017, and we have automated several processes in finance, IT, and engineering. In finance, for example, we have automated cash application, billing processes, reporting, payment processing, and we are using IQ Bots to automate our invoice processing. We completed the pilot, which provided us with phenomenal results. So we tested with a small entity with 30000 invoices and around 300 suppliers with a high level of success. The character extraction capability of IQ Bot is much, much better than the other OCR (Optical Character Recognition) engines that you have in the market today. So we are completely pleased with that, and we are planning to upscale our invoice automation processing.
I have automated HR, hotel, and some IT processes. I have also automated processes in SAP.
We are currently doing automation on the ground level. There are a lot of unexplored areas of RPA (different scenarios) that we have not captured yet.
We are an Automation Anywhere partner and we use it in the finance domain, in areas like B2B or B2C, etc. We also use it in HR and other domains for our clients. We have used it for vendor-invoice processing and recruitment. Those are our two major use cases as of now.
Our use cases for this solution are all related to Telecommunication Companies (Telcos) because these are our prime customers. We also use this solution to automate the support system. Some examples of use cases are service creation, service deletion, getting complaint details, ticket booking, and ticket updates. We have created unattended bots to handle these processes.
We use it to automate repetitive tasks. When an employee logs into an organization and their work is mundane (doing a repetitive task), I personally feel that it will take a toll on their motivation. We have to do something better as human and it should be more creative. Any repetitive task has to be automated. This improves the morale of employees and will bring out a lot of creativity in them to make more decisions. This is how people start to innovate and how companies grow.
Currently, we are focusing more on finance, shared services, and interpretive related ideas. For accounting and finance statistic, we have reconciliation specific processes, such as rates uploads into systems. The majority of our development is on SAP and Excel. We are focusing on the financial services area, so our use cases are more related to finance and accounting. These are the use cases developed by the development team. We are using an on-premise deployment model.
The primary use case is for day-to-day activities. We are also automating the activities that the SMEs are doing. We are an agriculture-based company. We have automated finance, HR and MDM for B2B. We have automated more than 300 processors within a year and a half.
Primary use case of Automation Anywhere is financial accounting reporting use cases. We use unattended bots for all the financial reporting. We have also done some use cases in master data management (MDM). These are the things that we did early last year. For the next year, we will be primarily focused on cognitive automation. We've already started with IQ Bot exploration. We will be looking into the new version of IQ Bot.
The primary use case is automation in respect to the financial sector. We have been operating with trades across globe. Right now, we have been upgrading to version 11.3.2. Two months prior, we had been using version 10.7.5.
I belong to the learning and development department, and this solution is part of our capability. We do not have only a single use case. We work on POCs for SMEs, handling the automation of modules such as Vendor Master and journal entries.
We started with finance use cases. Some of our biggest success stories have been with collection correspondence strategy around AR and the cash application. We also focus a lot on the financial close process to the month-end processes. These are the biggest areas of focus. We are starting to look at AP in finance. Beyond finance, we're also trying to look at the sales processes. Finance was sort of a pilot. We are now looking at sales processes starting from the customer order handling to services, and how we can enrich the experience. Our goal is to enhance the customer experience. We have a suite of technology products. Most of the time, there is communication between various products. We get a number of emails from our customers that we send out. E.g., our system is based on some criteria that sends emails out to customers. Therefore, there is a lot of user interface level interaction. However, we always look at the problem statement and work through that.
The primary use case is data extraction: How to extract the data and run the components alongside it. I have been using version 11 Community Edition, which is good. After coming to Bangalore and this morning session, they showed an example of A2019, which is the latest version. That is a game changer. What we did not have in the previous version has included in this version. I had a little preview of all the changes, and I'm pretty impressed by it.
We use this solution for quality and GXP. We are a pharmaceutical company and have marketed products that are about to be shipped into the market. Part of our process is a compliance check of those products. We have specifications ready, and we have the parameters with which it has been manufactured, and we have to compare those to ensure that they match. This compliance check is what we have automated using this solution.
My primary use case is collecting data from the latest sources, whether it be a spreadsheet or PDF. I have used Automation Anywhere in my current and previous organizations. In my current company, we have been successful with pushing the solution through and getting management buy-in.
I have done a lot of use cases. Recently, I have done SAP automation. I worked with MS Excel, a web application, a Windows application, and a mainframe application. We automated three to four applications at once. We automated them in a row where one application's output would be input for another application. I have done development and production support. I have helped organizations with integration.
We have many use cases for this solution. These include use cases from our life science, procurement, and HR departments. More generally, it is used for our regulatory and life science tasks, and some finance as well. We have a huge roadmap that includes a lot of processes that need to be automated. For example, some of our processes are related to clinical trials and the drug development process. They include verifying documents and entering a lot of data that has to be processed. The automation reduces the effort and time it takes to complete these processes. We have a mix of technology in our environment, including legacy systems and new technology.
We have processes in our company that are manual and redundant. We need to reduce the time and improve the efficiency simultaneously. These will be the best use cases for automation.
We work in a very complex type of environment. We do a lot of data analytics and strategy consulting work. The work that we have automated so far is our legacy suite of applications, doing all the reporting, data extraction from different web sources, and collating the information, then publishing to websites. We use RPA or the Automation Anywhere tool to orchestrate the whole process. We combine it and integrate it with other API and Python solutions to help get the data from a particular source, whether it be an FTP source or AWS environment. Then, we make those validations using Excel. After that, we do our QCs and validations, then publish or submit the reports. We partner with a few other vendors as well for different use cases based on the type of clients that we are working with.
We use this solution to assist us in the collection of data. We have patients who fill out an application that contains information based on the affliction that they have. For example, a migraine patient or a diabetic patient will have different sorts of information contained in the application. It starts with them giving us information. There are no regulations that govern the format of what they give us. Based on what they give us, we provide them with our application. Our overall goal is to give them a better quality of life. We use MetaBots to ensure that the data goes into the proper channel and in the proper pattern.
We are working on implementing automation for a financial use case. Every time somebody travels they have a lot of receipts and they come in different formats. We would like to automate the processing of these receipts. We have a team in the US who have implemented this, and we would like to do the same thing here in India.
There are a lot of templates where details come in different formats. There is no way this can be totally automated without the human intervention, but human intervention takes a long time. We are trying to figure out what software to use, so we can automate the entire process without human intervention and the data transfers without errors. We also need faster processing of the data to happen at a higher level.
We have multiple uses for this solution. We are from a biopharmaceutical background. We are the global technology center for AstraZeneca Biopharma and AstraZeneca Oncology. We have many use cases, but one of the primary uses is for all of the business processes. We do the automation, we apply the tool and simplify the work. We currently have more than sixty or seventy bots in place, including in HR and in finance. As an example, one of the cases we were working on is industry best practices and industry innovators. We reduce the time that scientists spend on manual tasks and put them on more value-added work. Another example is with adverse effects, where people who take medication can have an adverse reaction. If the customer reports their reactions, it gets automated. We have several teams and we are not centralized, we have democratized it. We have different sequences; they have their development team, and we manage the Centre of Excellence.
We are in the banking domain. We use Automation Anywhere for loan processing to support its journey from each state until the loan is approved. We focus on title commission. We are trying to remove the human repetitive component, bring in automation, and help humans do value-added jobs. Up until August, we were using version 10.5. Recently, we migrated to the new version 11.3.2.
We use this solution for updating manual tasks such as downloading, processing, and uploading. An example of this is manual posting, where the customer is asking for money to be posted. For example, let's say that some extra money is posted by mistake. That has to be reconciled and be pushed back to the actual owner. Another example is bank transfer, where the customer is requesting money to be transferred from one bank to our bank. We generally interact with the customer and the bank, and there are several transactions that need to be completed. We now have this as a Complete Conditional Automation, where depending on the status, one of several sub-processes will be triggered and completed.
Primarily, we have it deployed across multiple verticals in finance and are looking to expand that to other areas, like engineering and supply chain within the organization. We use the RPA solution and are looking to explore the IQ Bots.
In our banking center, we are using Automation Anywhere for loan settlements, credit card transactions, and reconciliation forms. It has been easy to use.
We are in the retirement industry. We use it for application-based automation. We are trying to mimic our operations to redundant business users' tasks, like clearing claims and loans. We are using version 10.7. We are currently trying to upgrade to version 11.3.
The primary use case is for generating letters. Most of the use cases are HR-based. The company we work for is the Mahindra Group. When an employee requests letters, they go through the HR department instead of requesting the letter from the bot, Genie, that is already in place. Going through the HR Department creates a manual process across the group. We have completed a POC directly from Genie. We implemented the RPA so that once the request is received from the employee, the letter is generated and sent to the person through email. This reduces the tedious manual work required. With the completed POC, we have an RPA that we have showcased. When you request a letter directly from Genie, within a minute or two you will receive an email with an attachment of your requested letter.
We wanted to automate as many business processes as possible within the finance organization since the office that we work in today is called the finance transformation office. We transform all the business processes of finance for a better, simpler, scalable finance organization. We are constantly pursuing transformation of the finance organization as far as Cisco's changing dynamic business models. We are a predominantly product-oriented organization. We transformed our business models from products to software and subscription-based business model.
My day-to-day activity was to take data from invoices and put it into an Oracle DB. I have already automated banking uses, which deal with some of the invoices. The second case solution which I had worked with was multi-bot architecture. We have certain kinds of applications spread across our organization and the data coming into that organization is common. We made a solution as a multiBot: one Bot is working on one application and we have hundreds of applications. So a hundred Bots work together on the same set of data to integrate it. The applications are different. Say one is Oracle, one is SAP (System Analysis and Program Development) and one is Salesforce. In the way we implemented this, we segregated the workload into parts: part as a master Bot, part as a worker Bot and part as the closure Bot. The master Bot will work on the input part of the data set, the worker Bot will work with the individual (designated) applications, and the closure Bot will consolidate all the data and feed it back to the designated user. This was the plan for our architecture.
Our primary use case is working with different applications, like Excel and SAP. We get the data and reports, then produce results with Automation Anywhere. For IQ Bots, we're still working on it for data extraction. I think version 11.3 is good, but I am looking forward to working with version A2019.
We are using this solution to reduce the time and management required for the completion of manual tasks. We are also teaching our students how to create bots for automation. For example, if you have a simple copy and paste operation to complete in an Excel sheet then it might take one or two minutes. It's small but if you have a large amount of data and the task has to be repeated many times, then it is very helpful to have the bots. Using automation technology in any company is very useful for both customers and the company. I use the Control Room and we also write the code.
We primarily use this for customer data management. We use this tool to help perform transformations on our data.
Our primary use case for this solution is in finance. We have a lot of things that we are trying to automate, including performing operations in Excel. We are using IQ Bot for one of our use cases. I am currently trying to prioritize use cases to fit different scenarios and make the best use of this solution.
We've done a lot of automation with the product in the last two years. We started with accounts receivable processes in finance. I would say like AR function is one of the most mature functions in the product right now because we almost automated all the aspects of accounts receivable. We have also started looking at automating the accounts payable process as well. I've only mentioned finance at this point, but we also have done a lot of automation with IT, as well as with procurement. Right now the penetration is higher with the support functions but we are also looking at different ways to automate. For example, we would like to use automation technology in core engineering. We also want to be expansive and do projects beyond our current boundaries — outside of just India. We've already done a small PoC (proof of concept) with a company in China and we also automated three small processes with a U.S. entity. We use it daily and have done projects with the support functions, such as financial services, IT, and procurement support. We have 50 to 60 processes that have been automated using RPA in all three areas put together. This is the breadth and extent of what we have automated. We are using the on-premise deployment model.
We are a solution provider and we use this solution to help our customers with internal processes. For example, we help them with the automation of information processing tools.
We have ITMS (IT Service Management) and there are a lot of support tickets which are coming into that service site. As an enterprise application, there are too many tickets to handle live. This system is being used by service desk employees to enable them to address all the issues that customers are facing which they are tasked to resolve. Because the number of tickets is huge, managing those services and change requests is complicated to handle manually. We use Automation Anywhere now to process these tasks wherever it is not necessary to use the API to process the handling of requests. If, for example, I have an application which does not have an API, but there is one activity where a user may need to be registered in that particular application for it to function, we use Automation Anywhere for that to supply the access. We get the data from the source data and use an Automation Anywhere bot to do the registration of the user into that application. This was being done by the service desk manually in previous instances, now it is automated using Automation Anywhere. We have had about 300+ live tickets at the end of every month before using Automation Anywhere. We just went live last month using Automation Anywhere bots to take care of processing some issues. The total number of tickets that remain live has come down to around 80 as of the end of this month. It might touch around a hundred at peak times right now. But over a short period of time, maybe around six months, these unresolved issues could become zero at the end of the month. We are just evaluating the numbers from the date when we went live, so it is not so accurate. Definitely, the goal is that the count will become zero, and that is the target. It seems to be working well so far. The other use cases that we have are open-ended right now. There are a lot of potential uses. For example, if a request comes into the service now to create a VPN account, we can automate that using Automation Anywhere. That work is in progress. Today that is a manual task where the service desk people raise another ticket to another team who will go there and create the VPN accounts. We are in the process of identifying certain processes that can be automated through a bot, as there are other services for internal support functions, like HR or IT. We are trying to take some of those services to automate them. In terms of the extensiveness, we have just started with that. We have around 10 new sketches that we have automated right now but we have around 13 to 14 sketches that we wanted to automate through this process. We are using the on-premise deployment model.
We are trying to automate a few of the processes that we did manually. Product setup is an important aspect, as we are using bots to do the setup for us. We used to do the setup manually about three to four months back.
We use it for our product setup and rating products on our website. We take raw data and manipulate it, then we feed the information to the bot. The rest of the process is automated using the bot.
We use this solution for automating our business processes that make up our daily operations. We have a set of steps that we follow for each of our processes. We devise inputs for these steps and then prepare them for automation. The automation then completes and publishes the results.
Our primary use for this solution is to use bots to automate our accounting reconciliations. So whatever reconciliation does not involve judgment or review and can be done by the bot using a series of steps. For those situations where it is possible, we are now using bots we created. This helps minimize a lot of the time as well as simplifying the reconciliation process. We have a dedicated system for Automation Anywhere. We deploy it on-premise.
I use it to develop for the HR domain, where I am using Oracle PeopleSoft and Salesforce applications. Mostly, I use the object cloning command and Excel operations. I work in a banking company. We use Automation Anywhere for global HR payroll operations and payslip-related automation. We have also automated hedge loans and credit card approvals. We use versions 10.3 and 11. Compared to 10.3, version 11 is good and easier to automate because they introduced more options. You can also automate complex things. They introduced the Control Room feature too. It is installed on-premise at our company.
We are using it for finance and logistics-related tasks in departments that we are automating. E.g., for finance, we are using it for cash and bank reconciliation. For logistics, we automated eBay billing for the government portal before any goods can come out of the airport or get inside the airport for any package. We are using Automation Anywhere to create the transits IDs for this. The product is deployed via internal cloud.
We are improving our monitoring service by enabling it with AA. Our monitoring team provides configuration and some accessories to our clients. One of these resources is monitoring our hosted application, check it's working state, e.g., the input and output processes health checks and resolutions. We are trying to use Automation Anywhere to monitor these aspects auto. One of our bots monitors logs and files to create an Excel report at the end of the day and mail it to clients so that they make their decisions better for their next level faster. We are using it on-premise.
The primary use case is for the financial services industry where we do tax credit for different departments. We do automation for them.
Being a bank, we have a lot of processes which we have automated. I am a Project Manager for HR functions. The majority of my processes are in terms of income and skills processing. Those are all automated.
Our company's main application is the SAP application, so we are trying to automate SAP and associated manual work processes.
Most of our use cases have to do with Excel reconciliations, data entry or capturing data and entering it into a different portal or reconciling into Excel.
We have many use cases. We are solving business problems for our clients. E.g., it could be as simple as doing data entry or creating a mashup solution with intelligent automation, which is a buzz word these days. It can also be as complex as having AI integrated with RPA. It depends upon a lot of use cases. This is what we are solving. We are the partners of Automation Anywhere, so we are solving our client's problems with Automation Anywhere as an enabler. In addition, we are a consumer of Automation Anywhere.
The primary use case is for automating regular applications. We will get data from users, then automate that application. An example of a process that we would automate: * We get a bank statement. * We would need to upload those records into the regular application. * We would need to update the invoice numbers into our regular applications. * We need to validate everything before uploading all the data.
Our primary use case for the development of business processes. For example, finance is using it to develop a lot of business processes. We use it on a lot of things. We are using an on-premise deployment model. We only use unattended bots.
We are in the financial business and we use this solution to help provide reports for management. We download data, perform Excel manipulation, and then generate reports. The reports are then sent to the higher levels of management.
I work with clients who are in banking, the financial sector, and the accounting sector. It mostly involves work with Excel, SAP, and BI. A typical use case starts with downloading data from SAP, manipulating it in Excel, sending relevant emails, and then receiving the responses.
We are currently using it for a lot of projects, like repetitive or manual tasks. We are building bots to free human beings from boring jobs/tasks. We are working daily on Automation Anywhere to automate our processes. We are using it on-premise. We are not using cloud for deployment. As of now, we are running it on our client machines. We develop automation on our desktops, then deploy our automation on our physical desktop using Automation Anywhere.
The primary use case for this solution ranges from the web scraping to working on more complicated applications, which are built in-house. For example, in the case where we would have to get into an application that is not automation-friendly, we would use the OCRs to recognize the fields, insert information into the application then extract some of the information. We also do a little on the database front. We are a solution provider for a back-end team who works on a different manual task. We tried the same type of flow automation using a Python and VB application, but we don't have the leverage of OCR which is available from Automation Anywhere. Most of the automation that we currently handle is that which has already failed when using the previous versions with the VBAs and Python. We are using this product on-premise, so we still haven't upgrade to the cloud.
Our primary use of this product as a solution is developing bots to automate tasks and processing. For example, we have financial bots and we have IT bots. We have been involved in developing and monitoring the bots for about one and a half years, mostly for finance and IT. A majority of the tasks were done by other teams. We have automated mainframe applications and integrated the tool with web-based applications and SAP. We have automated many SAP processes, including posting the entries and POs to SAP. We are currently planning to migrate those bots into the current version (11.3.2) to make the bots more stable. We are using the on-premise deployment model. We have multiple processes getting automated through this tool.
Our primary use is for automation of data management and repetitive tasks.
Our primary use for this solution is mainly to support our email vertical, so it helps automate the management of financial, commercial and operations between our multiple domains using logistics and libraries and data points. We just use it to get data from different sources and massage some data with some specific protocol. After that, we simply have to put back the data. It is a system for data treatment and to notify the proper business handler.
We serve different clients of ours helping them streamline or ease out with their day-to-day activities. There is a team who identifies which activities can be automated end-to-end. They prepare a proposal sheet, which comes to us, and we do the feasibility of it: How much of that activity can be automated. Then, we proceed from there. Currently, in our production environment, we are using Automation Anywhere version 11.3.1. In a beta test version, we are also evaluating the latest version, which is 11.3.2.
We use this solution primarily for transporting data from Excel to SAP.
Our primary use for this product is BOE (Bill of Entry affecting imports in India) analysis and processing. Previously, we were checking the inventory with checklists and two kinds of Excel validations, and sending the mismatches to have them reassessed in a manual process. Before four of us were working on the data reliability, and really three people were completely dedicated to this task full-time. We were repeatedly taking the Excel inventory and the Excel invoices we are getting from the different vendors, and then we would check all the attributes of the data. This would mean we had to review invoice numbers, invoice dates, currency codes — so many little things needed to be validated. The detail also had to be examined like the number of items, the SKU (Stock Keeping Units) numbers and check those against the item names by validating with a checklist. So after, we created a bot with Automation Anywhere for that issue to speed up processing. Now the automated checking time is reduced to 15 minutes. That's all.
We have a lot of business use cases that we are using this tool to automate processes for. These include different business verticals, like credit, fraud, enterprise operations, and marketing. Each team has a separate dedicated RPA (Robotic Process Automation) team of its own. We primarily automate processes for the banking and financial sectors. This means all credit related stuff, such as loan applications and operations. I'm working on enterprise operations. We have different business processes that our business folks handle manually and our job is to automate them using RPA and the Automation Anywhere tool. We are using the tool on-premise.
My company' objective in using this tool is to automate every rule-based operation possible. We're looking forward to automating anything that does not need a human to make a judgment call. We have automated most operations in several applications, including mainframe, Linux, web-based URLs, Citrix automation, and in Excel extensively. We have done a variety of projects but we are looking forward to growing more into other areas that we have not yet explored. The biggest value that I see from the product is the way it works in general. The unattended mode that Automation Anywhere promotes, works great. That is the best thing, I would say. It runs code that performs on a virtual machine unattended. No one gets involved in the triggers because the bot controls the tasks. When you use a person to manually monitor a task, such as getting a quality check done, automating the task to work unattended eliminates all the human effort. It's a solution that is quite simple and straightforward to implement and is available 24/7, 365 days. No disaster recovery is required as the server is always intact because processes run to assure uptime, security, etcetera. We are aiming to have 100% unattended runs. We don't want attended runs because it increases bandwidth which is not great for support guys and clogs the system. Also, you can have some unattended InfoSec (Information Security) breaches and things. We constantly aim to have the best. At the moment performance is not 100% but I would say it is constantly improving.
The primary use case is automation of processes for people services, such as data management of the employees, and financial processes, like reporting, financial reporting, and month-end closing activities.
We are a research-based company using cognitive automation. Our use cases are: * Security. * Card protection and banking. * Traffic management. All these applications require cognitive automation. We are here to explore how Automation Anywhere supports cognitive automation.
We have an ITMS Service Desk that has a lot of tickets coming to it. As an enterprise, there are too many applications there, which are being used by employees. This service desk enables them to address all the issues which they are facing, whether it is on the application, infrastructure, etc. There is a group who manages all these tickets coming through ServiceNow. These numbers are huge. To manage these services or change requests, we use Automation Anywhere when it is not possible to use either an API or do scripting. My company is using the latest version.
We need to automate business unit solutions in our office. As of now, there are a lot of requirements RPA within our organization with many verticals who require their redundant tasks to get automated.
We train students to find their own problems on a day-to-day basis, then use Automation Anywhere (or an RPA solution) to solve these issues. We are using the latest version.
We use this solution to automate tasks for which multiple steps have to be done. We do it a very large number of times in a day.
We primarily deal with a SAP business model. We use Automation Anywhere for logging into websites, entering data, moving information around, and sending emails to end users. We are currently using a cloud deployment model.
We are working with our clients using this solution. Often, they are automating some of their retail and marketing processes, including the generation of bills and statements in finance. Our clients are using a hybrid cloud, with their own VM environment. One of the recent projects that I worked on was for a complex financial process in a bank. It involved automating several manual processes. The data had to be retrieved from SAP by means of a file and then imported into an Excel worksheet. My suggestion included implementing an SQL server and then automating the process using this solution. Instead of the series of manual tasks, they now only have to verify the final result, and it makes life much easier.
We use it for the mail merge process, specifically for renewals. Each month, it could be a tedious process to check all the documents and PDFs for each iteration. The creation of a bot for these task leads to better than expected results.
We have many use cases for this solution including invoice processing, email processing, Excel file manipulation, and text file manipulation.
We use the product for our automation use cases. We provide it to our customers to automate invoices with IQ Bot and other things.
We use Automation Anywhere for product SLAs on the finance team. We are also using it for a difficult automation project. We have automated a lot of processes, e.g., claim processing and payments. It is currently deployed on-premise.
We are running the Control Room and the Bot Runners. Currently, we have two processes in production, and another three are currently under development. Those in the development stage are running efficiently, but there are bugs here and there. Even for the processes that are in production, we have constant involvement, where we bring them back for more development and then return them to the production environment. Our primary use case has to do with automating payment tasks. We process about thirty-five hundred invoices per month, which is a substantial amount. At the moment, we process about fifteen hundred, and our goal with automation is to reach thirty-five hundred. At the moment, about twenty-five percent of the volume is covered by the RPS side of things. The rest of the work is done by hand, and our goal is to reach seventy-five percent by the end of this year.
From started working on Automation Anywhere platform, primarily worked on contact center and telecommunication sectors. Now exploring our RPA solution/expertise towards different different sectors such as insurance, medical, transport, education and so on.
We use this solution for application automation in both web-based and Windows applications. Our automation is specific to the insurance and hospitality industries and has to do with automating email, PDFs, and updating them inside our ERP application.
From all the client data that we obtain, we have to provide reports and analysis along with field reporting. This is what we try to automate.
We are primarily using this solution for banking, healthcare, and Agile processes. We implement automation solutions for our clients.
I use automation for finance. For example, SAP, Oracle, and other applications. In the past nine months, I have automated approximately thirty-five hundred hours. Next year we expect to reach at least eighty-five hundred hours.
We use this solution primarily for financial use cases. We have a bot that monitors quotes and budgets for products that are in their lifecycle or have expired. All of the concerns for finance are automated.
We're using it across a number of departments. So far we have implementations for finance and cost-control, as well as operational and logistics uses. Our deployment is a hybrid solution. We have an on-premise component and some portions are in Azure.
We use it for back-office administrative business processes, within order-to-cash. We have an end-to-end process automation that supports customer billings. We also have task-based automations that process either customer credit memos, or credit and re-bills, working within SAP. We started with the solution on-prem and we have shifted to an AWS cloud environment.
Automation Anywhere is removing the boring, repetitive tasks from the workforce. I've worked on different models over different frameworks. I do the coding as well as the deployment side. I prepare documents and the user ID. Sometimes, if the user ID is not prepared, then I jump into the process to get it done. With the technical feasibility of the document, I take the technical feasibility and do an estimation to code the bot. I configure the bot, then code it according to the entity and get it reviewed from the client. Then, I run the bot through the Hapi port, as well as different scenarios which might come up. Once the client is happy, we have a couple of rounds of testing. We have a "You Ready" phase where we code for a few days and the client provides data. We run through the data and this give them the technical results. When they're happy, then we finally move the code over.
The tool is used to automate any business process. Some examples are: * If you want to download some data from a website or push some data onto a website. * If you work with an Excel application and want to automate it, or any Windows-based application, you can automate it as long as you know what the business process is. * If a person is doing a day-to-day activity and you want to automate that activity, you can use the Automation Anywhere tool to do it. I have worked with the Windows, Excel, and web applications, along with some SAP automation and how to automate that SAP data. I use Automation Anywhere to determine automation for how to: * Distribute the process. * Schedule the process. * Run the process. * Design the process. * Distribute the data for 1000 to 10,000 data points (in Excel).
The primary use case is for ticket creation. They send in an email, then based on the priority, it creates a different ticket in Jira as well as the ticketing tool. In the end, they must consolidate all the tickets, whatever it has created, and sends that information in an Excel sheet to the stakeholders. This was for an internal PoC.
Most of our automation happens on Automation Anywhere. While the automation is being done, we use it as a platform. Then, depending on the number of users/ bots needed, we apply for the corresponding licenses. The good thing about Automation Anywhere is that any process: 1. Which is repetitive, rule-based, and only requires you to do collect/ edit information on the application frontend can be automated. Therefore, Automation Anywhere makes for a good use case. 2.Wherever the process is deterministic, with no decisions to be made, you can use it. It can automate any processes where 3. Process is well established, standard, or stable, and there are not many changes in the process. For example, a simple task, such as logging into a website, launching a website and doing systematic steps on the website, can easily be captured to Automation Anywhere. I see lot of applications, especially in finance and accounting domain. You might have a lot of steps where you need to either extract data, repeat data, or collect data. All of those processes can be automated through RPA, and especially Automation Anywhere. You can use even automation from the server side, not just websites. The only constraint is that the process should not require human intervention and decision making.
Our primary use for this solution is the building of a digital workforce by implementing Robotic Process Automation to improve our operational efficiency. It is also intended to create capacity for our staff to focus on client-servicing matters, which are areas that require decision-making processes.
We use this solution for automating business tasks in certain areas of the organization (so far). This involves creating bots to handle mundane tasks, so employees can be freed to work on other tasks that require higher thinking skills. We installed the product locally with the vendor's help.
We use it for backoffice processes. We are part of a shared service, so we do billing, credit, collections, and those types of processes.
Cost savings. Cost savings to the client and business transformation makes life easy.
People are now trying to automate many different kinds of technology. They have use cases related to ARP, invoicing, and three-way matching, for example. We are seeing an incremental need for legacy systems which do not have an architecture in place or API integrations. Our customers are doing things like simple website scraping, bringing the data into Excel, taking that data and then putting it into their legacy systems. We are seeing customers that read a lot of invoices. Our customers have been using Automation Anywhere for a lot of integration purposes. They've been using it not only for process integration but for application integration as well.
Our journey starts from discovering and understanding what process to automate. That's where our deep domain and process expertise come into the picture. We leverage process mining technologies over there, partnerships with Celonis and TimelinePI. We take advantage of that. The journey continues from there to designing and developing automations. Automation Anywhere is the RPA platform we use for creating the bots in automation and along with that we also use many of the technologies including AI and ML. Toward this life cycle, we have a very structured approach of governing, monitoring, and tracking. Insights we gain from this governance, we apply towards automation strategy and implementations. We've done this for many clients across the globe. We are happy to share those experiences with some of you as well.
We are an IT services firm. We use it for simple processes, but also for complex. We usually take up simple processes for manual tasks, which are easy to automate. We have mostly done financial services: finance and accounting processes. That has been for the most part. We have also used it in HR and recruitment to find resumes online, and in other processes.
Our primary use case for Automation Anywhere is to help our clients achieve efficiencies in their businesses and capture revenue opportunities that they would otherwise miss, either due to lack of ability or lack of speed. We have automated a different variety of processes, anything from inbound communications, from clients to our customer. Those inbound communications have to be processed and digested, then acted upon, some of which can be straight-through process automated, which is a fantastic time savings for them. The ones that can't be, can be routed to the right folks in a very quick manner, rather than being manually read and inspected, then categorized and passed on. We have also addressed financial processes around invoice reconciliation or accounts payable. There are processed around sales. If you think about how people use Salesforce and spreadsheets and other systems around Salesforce. There is a lot of copying and pasting of data in and out of Salesforce, then into those other systems. We can make all that go away, so their sales reps can focus on selling. So, there are a lot of great use cases like that.
The primary use case for bringing in Automation Anywhere was to make sure that we take away the work which our resources don't want to do, they don't like to do, or they find that there is something more meaningful and useful they can use their time for. That was our primary factor.
The primary use case is hard to say. We have used it in a number of different areas in our company. We've used it for HR, IT, and our business partners on the front lines using the application. Therefore, our primary use case is hard to say, but basically what we try to do is automate the drudgery out of our business partners' lives. We have automated some of our HR applications, where there are certain courses. Because we're in a financial industry, we have to maintain certain certifications, etc. Some of that is automated where we help generate reports back to HR. In some cases, there are some very front-end, which are CSRs. We have processes automated for them so they have a less manual work effort. We have worked with our compliance area. Some of the things that we have automated there, because we are a financial industry, are political contributions where we have to be very careful. There are a pay-to-play laws in the US, so we've actually automated, which were very difficult because you had to go to all 50 states to download all the information. Trying to do it manually was probably over 8000 hours a year, and now, we're doing it with automation.
Our primary use case is anything that is structured data and highly repetitive. We also see a lot of gain right now in paperwork, so AR, AP, and record to report. The cognitive product seems to be doing a really good job, and the pace of that going fantastic. We have done a little bit of everything: * Oracle * Salesforce.com * Using Citrix, we did an order to cash. * In the IQ Bot world, we seem to be doing a lot of AR and invoice-to-pay (those are the two that we see the most). We will be moving into medical billing next. Since we have done some really good prototypes with medical records, I think we are ready to go there next.
We are a biotech company. We make medicines to cure cancers. We use Automation Anywhere for intelligence automation or robotic process automation. So, we use it finance, accounting, and supply chain. We are actual using it across multiple functions in the company. We have automated a number of processes in accounting and finance: month-end close, eliminating profits, reconciliation, some in HR, some in operations, inventory to sell, and various other finance and account processes.
One of the biggest challenge that everybody has, and all the customers are thinking, my process has no structure or doesn't follow a pattern. That is the biggest challenge that everybody thinks. Even though our human minds are very powerful, there is a logic behind it. We try to go to customers, and say, "There is a logic always, so how do we apply the logic? The Automation Anywhere product enables us to do that. What you are doing in a repetitive task, or even some of the aspects of cognitive processing, combine both of those things together and build solutions. We build solutions for the oil and natural gas industry, HR, finance, and a lot of industries that can actually help customers on their journey as well. What we have automated is taking on the automating process and making sure the automation process is touching all the components in a sequential fashion, then somebody is offboarding it. How do you make sure all the systems access either taking out or restricting it in a way that is one automation? We can only do that with Automation Anywhere because it has helped enable us to do that faster. There are a couple of other examples, e.g., loan processing system, where there are multiple documents coming in multiple formats. Structure on structure, and often, there are a lot of back office operations where this is happens and you are actually consuming the data, feeding it to your loan processing systems, or any other systems that you use. What we have used with Automation Anywhere is take those desperate applications which are coming in with the various forms of data with the intent that they are built-in with IQ Bot of Automation Anywhere, then combine them with the tasks that MetaBots from Automation Anywhere provides, and we were able to automate the process. So, how can we cut shorter on the areas of arrangement, decision-making, and error reduction? We were able to do that in one of the loan processing system applications.
We mainly use the bot to make our operation more efficient, save the effort of human beings, and reduce the overall cost to the organization.
Our use case is mainly finance related. We've used Automation Anywhere to automate a couple of applications with respect to statement analysis and daily manual processes. We check if the process is automate-able, meaning there is no human interaction needed, no judgments to be made, etc. If the process is a candidate, we then move forward and start automating. We also look into the systems involved, because some systems have restrictions with respect to automation.
We have many solutions, like Data Rebate, for example. We need to compare this information, regardless of the information that we save in the Experian databases, against information in government websites, in order to ensure that everything is up to date. The information of the company address, for example, took around 47 minutes to compare, while using RPA it now takes around 10 minutes for each one.