Automation Anywhere Reviews

I have used it for multiple use cases across various domains. I started with automating use cases in the utility industry, such as customer billing and processing meter readings. Those were the initial use cases for which I used it. Currently, I am using it for a transport company in the U.S., where we process their invoice documents, perform three-way matching, manage their supply chain records, and handle daily billing bots. All these implementations have been successful.

For the transport company, we have identified a use case. Their ticketing team is manually processing all the incidents that occur during that day. We are now collecting all the documents and information about previously resolved tickets. We are creating a knowledge base out of it, and we will use that along with the AI agents that Automation Anywhere has. We will create an AI agent that will help take care of tickets by learning from the knowledge base. We are working on the PoC, and within the next quarter, we will be able to implement that.

We have implemented a Generative AI solution using Automation Anywhere and ChatGPT for email management. We implemented it for semantic analysis and sentiment analysis. One of our clients wanted us to create a bot that automatically fetches all the reviews from all of the social media platforms, including Twitter, and create a knowledge base within their own platform or database, whether the review is positive, negative, or neutral. For that, we leveraged the ChatGPT plugin along with Automation Anywhere. We created a bot that reads all their reviews, does semantic and sentiment analysis, and accurately describes them as positive, negative, or neutral.

We have not yet used Automation Co-Pilot, but we plan to implement several use cases. One use case involves integrating AI agents with Automation Co-Pilot for conversational AI. Users can input queries, and AI agents will run prompts to fetch required details directly in Automation Co-Pilot. This is particularly beneficial when the process SMEs need to verify post-bot run actions and address any data issues. Currently, the RPA support team is asked to rerun bots. We aim to enable SMEs to prompt bots for reruns, reducing response time from different time zones from five to six hours to immediate actions, significantly boosting productivity.

By implementing Automation Anywhere, we wanted to reduce the manual effort required for various processes for the clients. Previously, the client's accounting team had to collect all the bills, and based on the vendor, upload those to a particular portal. They daily receive bills for more than 250 vendors. We have now automated the process. There is no manual intervention. Earlier, this effort used to take more than 300 hours per month with more than ten people, whereas now, it does not take more than 50 hours per month, and they have only five people.

We have done integrations with Oracle NetSuite and Google APIs. We have done automation with ChatGPT and Claude AI. We are now leveraging Document Automation along with AI agents. We have also done integration with Anthropic. The integration is quite smooth and seamless. 

Our main use cases for Automation Anywhere are across finance functions and accounting functions, such as helping with the monthly close. We are evaluating multiple processes for standardization across our locations, helping with any repeatable month-to-month processes, and identifying where automation can provide value as a tool across multiple systems. 

We have been reaching out to various finance departments and conducting process mining while focusing on repeatable processes. More importantly, we are trying to push the edge to introduce some Artificial Intelligence and more complex decision-making, venturing beyond just simple if-then processes.

We have been using Automation Anywhere for about two and a half years now, focusing strictly on migrating over 100 automations from Blue Prism in the first year. Lately, there has been a focus on developing new automations, trying to take advantage of the latest technology with Automation Anywhere, and seeing where that technology can be applied in various areas of our business.

I have been using Automation Anywhere to automate repetitive tasks across various domains and organizations. We have developed a lot of automations in domains like finance, HR, and supply chains on a daily basis. Basically, we create bots using Automation Anywhere that replicate human actions. 

Currently, we are working on a business case involving agents who respond to phone calls, providing order dispatch status. The average call time is five to six minutes. By using AI, we are creating a chatbot so that a customer service agent can input details and quickly provide all the customer-related information. This reduces call times from five minutes to one or two minutes, which is something we are currently working on. We are also exploring AI use cases for things that are not structured or rule-based.

Previously, we were using legacy automation methods. We were using different platforms to automate the system by writing scripts. You get the best value from automation when you automate a process end to end. In a business process, multiple applications might be involved in completing the processes. Automation Anywhere provides better integration with applications. We can integrate multiple applications at the frontend or backend and complete our processes. Previously, we could automate only a few parts because of limitations in supporting various technologies, whereas Automation Anywhere helps to integrate all the applications and automate a process end to end.

I have integrated it with SAP, Salesforce, ServiceNow, Jira, Tableau, and a lot of Microsoft platforms. We have also had integrations with database and mainframe applications. The integration is seamless. They have packages for particular applications. If you want to work with Salesforce, they already have a package for Salesforce. You just have to connect Salesforce with a certain set of details and provide the API details. It is seamless and within a second, you get connected, and data starts to be exchanged with the application.

It saves headcounts, improves customer experiences, and provides time and cost savings. In some projects, millions of dollars are saved annually from a single bot. The response time for certain customer scenarios has also been made efficient.

I work in an automation Center of Excellence in health care, and I utilize it for everything and anything that is appropriate in health care. We have approximately 41,000 hours worth of automation that operates and handles tasks ranging from assisting with HR operations, such as leave of absence, to medication monitoring and much more. Our portfolio is quite expanded.

We are also jumping into the Co-Pilot world because we want to start embedding it into Teams, SailPoint, and some of the other tools. 

We are also looking at a unique use case. We have discharges, and there are certain types of prescriptions that are just extremely specialized as part of discharge. We have medication contracts. One of the things that we have going on in our organization is a buddy system and then an official request. The buddy system is essentially prescription denial appeals. We would like to use AI to search our contracts to figure out what is the standard for these medications and what are the denials and appeals that we can have prewritten and ready to go.

It was a response to COVID that prompted us to dive into scalable tools. We needed scalability and the ability to perform 10,000 or 1,000 or 200 tasks at any moment. No other software that we have had could provide such scalability and is built in a modular way.

It is unique and almost invisible. You do not realize its impact until you discuss it with users who provide positive feedback. We build automation, support it, and deploy it. When we meet with our users later, they have such good feedback about how impactful these things are to their path. For a nurse, not having to repeat a task 10,000 times has made a significant difference. Especially during COVID, it was truly helpful on the front line. Now, I also employ it with other powerful medication tools.

I was personally able to see its benefits as soon as I jumped into software. It was one of the most impactful and amazing tools for my day-to-day life because, at any point in time, I could design something, modularly build it, and deploy it. It can handle such amazing tasks, including things like templates and design and all other materials that we have for communications or activities, and produce them for me automatically. For me, personally, it made a huge impact right from the get-go, but as an organization, we definitely had to learn how to make choices on our use cases.

It has absolutely saved us time and costs. The whole point of the software is to develop something that at least on a use case basis provides value. We have many years of learning how to do our program. Over time, we have also been using it for other things, such as compliance. We have definitely evolved from just saving time or money to using this solution for everything we can use it for.

Right now, my use case for Automation Anywhere is that we're in the middle of an AP invoice automation project, automating invoice entry into our Oracle EBS system.

What I appreciate the most about using Automation Anywhere is that I find it very easy to use; the connectors are great, the layout's great, the functionality is great, and it just works, so it's pretty good. Using Automation Anywhere has improved our company significantly, as we are doing over eight to 10,000 invoices a month, which people had to do before, while now the automated process is doing that without too much human intervention, saving probably about at least two to possibly three FTEs per week.

I am working for a financial organization, and we have implemented more than 100 Automation Anywhere bots in our organization from 2018 till now. Our organization holds all the teachers' annuity and 401k funds, and we automated a lot of use cases related to customer information updates as well as payments for those who are already retired, including pensions and related services.

Currently, my company is evaluating building some agnostic processes and creating our own LLM to consolidate data into a single data store. Once that LLM model is ready, we see an opportunity to automate many things using Automation Anywhere by calling those LLMs rather than multiple applications. Our top priority currently is document automation, extracting data from documents, which we have also been doing for the last three years. At the enterprise level, a separate artificial intelligence team is working on building an LLM that can be utilized by all other application teams.

Earlier, if a customer called our organization or created a ticket asking for their financial statement, it would take a couple of days to get that, but with Automation Anywhere, they receive their financial statements while still on the call.

Automation Anywhere has helped us save money, as we track use cases with ROI, resulting in FTE savings. For instance, last quarter itself, we processed almost six million transactions using Automation Anywhere, which involved around 70 bots running 24/7, saving about 150 FTEs.

Overall, it is pretty easy for non-technical business users to use Automation Anywhere. One week is good enough to train them, and it is 90% easy for them, except for some technical terms or knowledge required.

It integrates well. We have integrated various tools with Automation Anywhere, including PeopleSoft, ServiceNow, IBM Case Manager, Workday, and Clarity. We have integrated CRM tools, HR systems, and some homegrown applications and workflow systems. With IBM Case Manager, we were able to integrate Automation Anywhere for end-to-end process automation, handling case creation to completion.

The main use cases include the payment extinction process, which we have automated. It is a basic, very critical servicing process, which needs to run on stringent SLAs. We automated that before and during COVID, which brought a lot of value with less human intervention and support during the peak time. It was able to process almost all the payment extinctions effectively and efficiently, providing significant value to our servicing operations team. 

Another use case involves customer service, where the call center agents uses these bots as co-pilots, gathering real-time information from multiple subsystems, aggregating the information, and presenting it to the agent. This greatly improved the customer experience during real-time interactions. 

Those are a couple of critical use cases we have automated.

We recognized the importance of RPA automation and transitioned to Automation Anywhere, onboarding and automating over 100 processes in a short period.

Our primary use case for Automation Anywhere began with order processing, specifically the order-to-cash process, where we manually enter orders from the customer through PDFs and other methods. 

We started from four bots and have grown to close to 60 bots at this point, expanding significantly from two or three processes to ten times that scale over the last five or six years.

Our document automation, specifically with IQ Bot as part of the automation, has significantly improved efficiency and proficiency, allowing us to be currently engaged in proof of concept initiatives aimed at further advancing the document automation process with generative AI.

Document automation has indeed been beneficial in handling large volumes of documents in our organization, where we process product-related data sheets that range from 80 to 120 pages, efficiently extracting data that would take a human several hours to read manually. I can confidently say that document automation saves us time, as it takes human effort significantly down from five to seven minutes manually per PO. It is being executed much faster by the bots.

One of the notable benefits we've realized from Automation Anywhere is a significant reduction in errors when processing data, which improves both revenue accuracy and operational efficiency.

In the age of agentic AI, the big challenge is moving to the next step. We are currently running all RPAs now. So robotic automation is the key for us now, and we are moving to the next generation of automation, which is agentic processing. We need a helping hand to make sure that our company strategy and the goal can be achieved with this agentic automation. This year, we have had a big push from our leaders to be involved, more and more, on agentic processing. That's a focus for us. 

As we evolve from RPA to APA, we are at the early stages. We're just moving over. The first step we are taking is a document automation with AI capability on top of it. That's our first step that we are doing at this point of time. Eventually, we'll get there, but it's really early.

We are using some AI. There are 20 to 30 tools at this point. So we are trying to bring in Automation Anywhere into one of those ten. It's in the evaluation phase at this point. There's a big team working on it. We want to get the right tool both legally and via a vetting process before we can bring any tool into the company. That's an ongoing process.