I started in the other company with the manufacturing processes for logistics and finance. Now, I am implementing processes for finance and human resources.
My challenge is to use Automation Anywhere for automatic manufacturing and services. I always push my finance team first, and they have to improve the financial processes before we use Automation Anywhere.
Automation Anywhere is helping us improve processes, as it can handle specific improvements. As we can execute the same processes, it is now easy and fast. With the APA, we can improve more processes. As the processes are more automated and easier to use, it is faster to gain value. Automation Anywhere is helping me overcome these challenges.
Comparing Automation Anywhere with other tools for RPA, in my opinion, it is better because it is easier to use for both the final user and the developer. This gives us many benefits because we can automate the processes more easily.
APA has helped me achieve my automation goals. It's helped us achieve some of our automation goals. It's made things a lot easier. We have integrated the APA and RPAs with SAP, with Salesforce, and with many data sources.
I'm using the AI agent studio in the automation process.
I utilize document automation in my current processes. We introduced automation, and where we previously had to use many letters, we now use only documentation.
AI governance is very important in my company, and we are implementing it now. I discovered this company three years ago when I studied the RPA tools. AI governance and data governance are not currently implemented.
There is no need for improvement right now. The AI is very important, and they are starting to use AI. They could continue to develop it out. Innovation is very important.
I started to use Automation Anywhere five years ago when I was working in another company.
The deployment depends on the processes being put in place. Normally, it is straightforward.
I do not have the correct numbers to calculate ROI, however, overall, it has been very efficient. The time saved in document processing is good.
The pricing is a little bit high compared with other tools. Of course, some tools may be much cheaper, however, the offering isn't as robust.
For our internal policy, before implementing a new project or new tools, we have to evaluate technical skills and make a comparison with other tools. We did evaluate Automation Anywhere and UiPath. Between Automation Anywhere and UI Path, there are pros and cons. Automation Anywhere is easier to use for final users and developers.
I am utilizing the AI Agent Studio in my automation process. My impression of the AI governance features in maintaining compliance and data integrity in my company is that all the automatic processes are similar to processes made by humans. Only in specific cases do we have to use the compliance process with government; in most cases, enterprises would have to accomplish specific requirements. It is not usual in these kinds of processes to have compliance.
I would rate Automation Anywhere a nine out of ten. If the price were a bit less maybe I would give it a ten.
We have varied use cases and have worked in different business areas. Customer service is one of our biggest business areas, along with investments and finance. We also have some risk compliance, legal, and HR use cases involving about 50 different applications.
Automation Anywhere has freed people's time and effort to do more useful things. Some smaller teams have a lot to work on during the holidays. The solution has improved error reduction and work-life balance. It was all the more useful during COVID-19 when we worked from home for four years. RPA was a godsend. People could do things more easily. We continue to grow our program through this year because of the benefits it provides.
We really like all the features of the solution. The solution's most valuable feature is its ease of use. In 2018, we assessed four different products available on the market. We chose Automation Anywhere because it seemed to be the easiest and most intuitive to use for non-technical people. That has always been our model. We are a very citizen developer-focused organization in terms of RPA and intelligent automation.
The integration of Automation Anywhere with our business applications is excellent. We haven't yet encountered an application with which it doesn't integrate. That's the point of Automation Anywhere or RPA. You use the applications as is. It sits as a bridge or a layer on top of your existing application and does a fabulous job.
We have integrated very few use cases into our workflow. We hope to do that a bit more with attended automation and Copilot. We have no complaints so far regarding documents, but we hope to do a little more with that. From what I've heard, you have a lot more API integrations available now than before. We would like to assess them and use them.
Automation Anywhere has definitely improved work-life balance and error reduction. Our audit and compliance team regularly advocates for the RPA team. They reach out to different business areas when they're auditing them. They are absolutely one of our biggest advocates. We have seen an overall improvement in employee morale with the various benefits we have gotten apart from the obvious time-saving.
The biggest metric that we use is annualized automated hours. I think we have saved about 50,000 annualized hours. In addition, we have saved another 50,000 hours for automated monitoring where people aren't needed. It has saved us a lot of time.
Automation Anywhere is excellent at providing automation at scale.
Through my sessions yesterday, I'm absolutely very interested in the benchmarking process that comes as a part of the Pathfinder program. We are also hoping to use Copilot very, very soon.
We haven't used Professional Service Accelerators yet because of how our program is structured. We started five years ago. We do everything in-house, including training and development. Our citizen developer program is quite robust. We have been able to do all our migrations and development ourselves.
My favorite aspect of the Imagine event is connecting with many different people. I've been coming to the Imagine event since 2019. Every time I come here, listening to all the keynote speakers on the first day makes me realize that the world is moving at such a fast pace, and we are so behind.
You meet people and realize that these are all possibilities and opportunities for us to be a part of this revolution. It's amazing, and it always feels great to come to the Imagine event.
The most important part of the Imagine event is the people. We have worked with Automation Anywhere all the time. We have worked with excellent people, whether it's the customer success team, the accounts team, or all the leaders at Automation Anywhere. It is wonderful to meet all of these people and hear and see what their vision is and what their thoughts are.
The highlight of every Imagine event is all the products and services that are coming in the near future that we could use or leverage. It's really exciting. It's just me this time, but we usually have more people at Imagine. People are generally very excited to come and be part of it.
With Automation Anywhere or RPA, the way we automate things now is different from traditional automation. The focus of our organization has been to help nontechnical business people automate their own processes. It makes it so much easier for them to learn to automate their own work as opposed to traditional automation, which was mainly done by IT.
It is extremely easy for business users who do not have technical skills to use Automation Anywhere. We use the Automation Anywhere training. We train our own citizen developers within the organization, but the training program is based on what Automation Anywhere provided us at the beginning.
While we have to teach business users how to use basic technical things, we also have to teach technical people how to approach business and business processes. That's a part of our training program. Apart from that, it's very intuitive and straightforward. It's equivalent to a six-month-old who can operate an iPhone.
We take our cues for the solution's learning curve from the Automation Anywhere initial training. We think it takes about six weeks for people to learn to use Automation Anywhere effectively, and we build that into our training program. We cover the basics in week one. We take a use case and work with that in week two. People continue working on their use cases in the third, fourth, and fifth weeks.
In week six, we target to put the use cases into production and cover more advanced topics. We have continued collaboration with our developers to learn new skills. I think six weeks is the amount of time needed for people to be comfortable using the tool on their own for their own use cases.
On our platform, we have about 50 other applications integrated with Automation Anywhere. We have expanded our program from RPA to intelligent automation. Intelligent document processing, Alteryx, Power Automate, and Automation Anywhere actually work hand in hand. While Automation Anywhere is still our main automation orchestration program, we integrate these other automating applications along with it.
I could personally use automated testing, which we currently do not have in Automation Anywhere. When we looked at the document processing IQ Bot, it didn't work for our documents. Since I haven't looked at it recently, I don't know if it needs improvement now. I'm sure the current version is much better.
We started using Automation Anywhere at the end of 2018, so, it's been five years and counting.
We have no complaints about the solution's technical support. I rate the entire customer success team a solid 11 out of 10. That's my comparison scale. Over the last five years, we have had five customer success managers, and all of them have been excellent. They had different personalities and different ways of working, but all of them were excellent. The last four are personal friends now.
Positive
We started seeing a return on investment after the first year and a half of using Automation Anywhere. The growth has been a little bit slow but steady during the time we were all working from home, but I'm hoping for it to grow again over the next 12 months. We'll probably have bigger and better stories to share at the next Imagine event.
I think the solution's pricing is reasonable. Setup cost is what you expect in the industry so far, and the licensing is at par. However, I like the ease of licensing and the flexibility in scaling up or down. We have done that over the last few years. I am looking forward to moving to the cloud between now and the end of August. That will change the licensing model a little bit.
We do not have Dev Stage licenses. From what I understand, it's going to be a pool that we pull out of. It'll be different, but I think it'll give us more flexibility.
We did not use a different RPA solution before using this. We assessed four different products, starting at the end of 2017 through 2018, and realized that Automation Anywhere is the best fit for us. We still think the same because it works great, and we have no reason to complain. We haven't had the need for any other product just yet.
For our current setup, Automation Anywhere is set up on a private cloud on-premises. However, we are working to move to the Automation Anywhere cloud. We are assessing and going through the initial steps. We hope to be on the Automation Anywhere cloud by the end of this year.
Overall, I rate the solution ten out of ten.
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.
We see the application in the
# BPO space,
# Finance and accounting,
# Health care in terms of claim processing.
E.g. in F&A, if you're doing invoice processing where the entire process is manual, and the analyst has to go through the invoice to determine invoice details, discount on the payment or a penalty should be levied. In such cases, you can scan this information through an OCR, which is an optical character recognition tool. Then, the rest of the information can be pretty much retrieved by the RPA, which means the RPA will scan the information to classify this information and fill up the web form. This will be sent to the ERP. This is how the workflow would look like.
Wherever you can put
# a rule-based system, you can automate all of the processes. In our company, all these processes are manual and you might have 50 to 60 people supporting this process for a mid-size company. You can automate it and reduce the manual effort by almost 40 to 50 percent, depending upon how many techs are enrolled and what is the effort being spent in order to process transaction volumes.
I have been familiar with a couple of projects where this was implemented in cash applications or invoice processing, and they could automate these steps. So, I'm familiar with some of the back-end processes and where they are getting automated.
#1.You don't have to really code anything, as it gives you a good interface (UI), because the components are already preconfigured, you have to just a drag and drop sequence in terms of how you want to execute the steps.
#2. There are preconfigured APIs that can be used. E.g., if you want to interact with the mailbox solution, you can have the RPA fetch attachments or email body from the mail solution. You can process attachments via test file or PDF. You can even make Automation Anywhere work around PDF, which is typically not that easy to work with in terms of extracting information.
#3. Metabots/ IQ Bots: One of the features, which we have not used too much, but available, is the MetaBot feature. These preconfigured solutions are easily downloadable, and you can just plug-and-play with a bit of customization, which also means you do not have to keep recreating and can reuse existing functionality. Some of the typical uses are that you could be regularly logging into a website. You can just download a MetaBot, as a useful webpage interface and just run it. All you have to do is maybe replace the name of the website, and in case there is a certain authentication mechanism that is being used, then provide that information.
# 4.There are multiple levels of cloning. In case screen cloning doesn't work, you can do object-based cloning or keystroke-level cloning, depending upon what parameters are available to you and what is the level of information that you capture. You can traverse between object cloning, which is the lowest, most basic form of cloning to a stroke-based cloning, which is like taking care of each keystroke-level which is made by the agent.
#1 Exception Management and Notification: When you are making a code, and there is a happy path and exception management mechanism, it would be nice if there was feedback in terms of whether this is the most appropriate way to code this. I'm not sure how this can be done, but that could be very insightful. It already gives you some screen tips, but this could be done in a better fashion, in case you are creating the workflow and then you believe a beta workflow is available or could be done. If a screen tip could be given to the coder for this sort of workflow, this would be a much better feature for Automation Anywhere.
# 2 Type of Cloning: I've realized that sometimes when screen-level cloning is a better option, people still use object-based cloning. It would be useful if Automation Anyone could give you tips recommending fewer steps or fewer areas of exception management after you inputted your code. I'm not really sure if this is doable from a technical standpoint.
#3 Debugging: Currently, I believe the debugging of bot is a bit tricky and not very elegant, you might have to keep re-running the script to be able to identify the bug. This can be looked at, as a possible area of improvement.
#4 Scheduling:There are two modules: the run module and the control center. In terms of scheduling and triggering, they could make it a bit more helpful and provide suggestions, e.g., if you are scheduling it, and there is a conflict, can you resolve it this way. Maybe you can get an upfront alert or something to that effect.
#5: Stability, Workaround and fall back mechanism: When bot breaks down, is there any of mechanisms or notifications that can be given? You can possibly choose to notify people, typically in organizations people are pretty much adverse to automation. If something breaks down, they would like to know at the earliest given opportunity that something is breaking down and piling up. They want to be able to resolve it quickly. If the resolution is going to take time, they want to be able to make some specific workaround mechanism kick in. If a bot breaks down, immediately the fallback mechanism should work too. If there could be information in terms of when the process was out of range and somebody might need to take a look at what has happened. This is because most of these business processes that get automated are critical in nature and might have financial and operational impact. People need to know that there are working fine and not broken down. It can really have an adverse impact if they break down and nobody knows.
#6. Platform Training: My experience has been that if the person who codes the bot is not very well-trained, then they might create unstable bots. So, it's not the platform. It is just how somebody has coded the bots which can bring in lot of instability to them. I recommend that when you are using a coder that the person well-trained and have a good amount of experience already working on bots. They shouldn't be newbie or beginner who comes in to code because that will impact the quality of the code itself.
I have been working with Automation Anywhere for the last three years at two different companies.
# Business process stability: Before robotic automation, the business process itself should be stable and very well-documented. Also, anytime a change is made to the process or subprocess ensure, that the RPA gets updated too. Typically, the entire process of automation might take some time, then by that time, the initial business process might have changed a bit. There could variations in terms of volume or in the process itself.
The most important thing is that before you automate something that you must make sure that it is stable, in its steady state for whatever changes might be upcoming over the next six month to year. Otherwise, you might create a bot, which will go into production, and fail because the underlying process itself has changed.
# Monitoring and controllership: If there is no changes in the process, bots are pretty much stable and especially, if they have been well coded. In case there have been any changes anywhere in the process or subprocess, the bot can fail. This means you must have a review mechanism with monitoring in place. Once you put a bot into production, you have to monitor it and do regular sanity checks. Otherwise, you could have situations where bots have failed and you might not know, then the process comes to a standstill. In a nutshell monitoring and control is an important aspect of RPA in the run phase.
Scalability is just scaling up the number of bots, so scalability is not a problem. You can increase the number of machines and number of bots to scale up the solution, but it can be sometimes very cost prohibitive. E.g., typically, it requires a dedicated machine, and it can't be a shared environment. This can be a bit of a constraint in terms of the number of machines being used. Otherwise, the solution is completely scalable. In case the process requires more throughput, you can just increase the number of bots which are working. Also, if you are doing this properly, then you have to make sure that there are not multiple bots running at the same time which might be at cross purposes.
I don't interact with the people from Automation Anywhere.
# Procurement of the license is easy, but depending upon what you want to automate and how you automate it that might take time. Setup is not at all difficult. You just take the license and install the application, then it's ready to go. However, in terms of what you're trying to automate, how you're trying to automate it, and the complexity of the problem, the entire automation process can take time.
# Implementation timelines:The time frame to implement depends on the complexities and number of the processes and subprocesses. In a typical process, the coding, testing, and deployment could range from a week to four weeks. However, I have seen it sometimes take longer because you have to continuously keep checking and testing it. Every time the code breaks down, you have to possibly start from the beginning.
My experience has been one to four weeks as the ideal time frame. However, depending on how well the process was understood and documented, there can be certain gaps which would only become evident during the testing phase, not otherwise.
# Resources: Depending on the number of bots that you have to create and the number of the complex processes along with the given budget and timelines that you have in mind, the number of developers range from one to multiple developers. The resources that you really need are developers because they are people who will be coding. Otherwise, from an ownership standpoint, we need some subject-matter expertise for the process. The people who are subject-matter experts will be needed on a part-time basis for the developer to be able to map the process well and be able to create their technical design. Then, you will need a technical master who creates the technical documentation of how it will be coded. The number of technical masters again depends upon the processes and complexity along with the corresponding number of developers.
The deployment team may not be very big. You need just the developers and a design architect, mostly two people. All the other people come and go per the requirement stage of the deployment. There might be people who are there only for consultation. Some people might be there only to approve the solution. Whenever you bring in automation, it has to be reviewed, monitored, and assessed from the organization's standpoint. There might be people who are just doing approvals for this process deployment in case it's a very complex project, and then there is a project manager. Otherwise, sometimes the technical design person doubles up as a project manager too.
Before implementing, you do the assessment of why the organization wants to automate:
Imperatives for Robotic Automation
Then, you have to build the business case in terms of what you want to try to automate. E.g., how much can actually be automated? That assessment should be done. Even the cost and time of automation versus that benefits that you're going to get out of it needs to be done.
# Process Degeneration: When we start automating, we do a process desegregation. This means whatever processes are under scope that we try and understand the task level, activity level, and precedence details. We make activity diagrams, then try and assess out of all of these which one can be automated. So, if the automation index is pretty high, which means that most of the process can be automated, e.g., up to 80 percent, then it might make a better business case than if the automobility is only say 30 to 40 percent. Then, the cost of automation might be way higher.
# Setting the right expectations with the client: t is also important to set the right expectations with the organization. Are they new to automation or do they some prior experience with automation? Because this helps us set the right expectations in terms of the benefits which can be had. The customer might also want to understand what are the impacts if automation fails and the fallback mechanisms. For example:
The most important thing is the business case as to the cost versus the benefits of automation.
# Legal and Compliance Regulations: Also, are any legal or compliance regulations which are applicable because technically it might be feasible to automate, but legally or from a compliance point of view, it might not be good idea to automate. You might want to still have human intervention in terms of verification and validation.
# Criticality of the process: From a financial impact standpoint, things that require a bit of background investigation might be better kept as a manual process or require a human approval rather than automating it completely.
It all depends on the scale. In one project that I have worked on, we had a savings of $200,000 over a three-year period and a payback period of 6 months. The typical ratio is that one bot will replace two people.
# Licensing: One of the components of key drivers for us to renew our contract is AI or automation. As an organization, we are moving toward smarter operations.
Our pricing a year ago was $600 per license, but I am not sure of our current licensing cost.
# Set up cost: Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running.
# Dedicated Machines: The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. The machine has to be completely dedicated.
# Network Bandwidth and Disk Space: Then there are the network bandwidth requirements and disk space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too.
There are two or three more tools in the market such as Blue Prism, UI Path, but I think the preference was given to Automation Anywhere.
I have only worked with Automation Anywhere.
Understand why you are choosing Automation Anywhere, as the platforms are pretty on the same level except for certain functionalities. Also, in some scenarios, one platform could be better than another. Pick a platform and stick with it.
It is easy to use, but I realize that the effectiveness of the platform depends on the coder and how he is doing the coding. This is my experience, because I have seen that the quality of the automation is as good as the person who is using it. In Automation Anywhere, the skill set of the coder really determines how good the automation is, which is why I am making it a eight (out of 10), not 10 (out of 10). Because while the platform is feature-rich and easy to use, it is the skill of the coder that determines how well the platform is leveraged.
I' am now mainly driving AI at my company. RPA has become a bit secondary in the sense that it is a part of my solution, but most of the time, it is AI-driven. RPA sort of helps in the execution of some of the components of that overall solution. From the organization's standpoint, automation is already a part of all our solutions. E.g., our organization is moving toward automation where almost 30 percent of any deal will be allocated to automation. It will be a ratio of 70:30, where out of $100, a total of $30 dollars will be allocated toward automation and AI.
I did my certification on version 10.4.
I utilize Automation Anywhere for automation purposes. Recently, I completed a project for a client in the telecom sector. The project involved automating their monthly bill review system for customers. Previously, this system required on-site employees to check millions of invoices each month manually. A dedicated department then verified these invoices, sent them to customers, and verified payment status after payment. This process was time-consuming. We used Automation Anywhere's RPA and OCR capabilities and the AI document processing module to analyze document structures and verify tabs. We then automated various steps like accessing the portal, applying checks, and sending invoices via email. Now, the entire process is automated, triggered by a robot each month.
The main challenge which organizations want to address through any implemented RPA solution is the repetitive nature of their tasks. Instead of having ten employees perform the same monotonous task from nine to five every day, a single RPA robot can handle the workload, freeing those employees to focus on tasks that require human intervention. Automation is ideal for repetitive tasks, such as processing millions of invoices monthly, which can now be managed by a few RPA robots working around the clock. This allows employees to explore new opportunities, which is the primary goal of automation and the main reason for using RPA or any automation technology. Most automation technologies have features that enable this shift. However, automation is not suitable for all tasks; tasks requiring approvals or human judgment cannot be automated.
The deployment model varies depending on the client. In Pakistan, I worked with several clients using ABL who opted for cloud deployment. However, clients dealing with highly confidential and sensitive data, such as banks and telecommunications companies, prefer on-premises solutions. In contrast, clients in sectors like healthcare might be more open to utilizing cloud infrastructure.
Automation Anywhere has enabled repetitive tasks previously done manually to be automated.
Regarding RPA, ever since generative AI was introduced, we have ChatGPT and Google Gemini. The advent of these generative AI models has shifted the automation landscape. Automation has moved from Robotic Process Automation towards Intelligent Process Automation. The difference between RPA and IPA lies in their ability to handle changes. For example, if a website form changes its layout, a traditional RPA bot might fail because it can't identify the fields or buttons in their new positions. However, with IPA, the bot is intelligent enough to understand the fields' requests and can still process the data regardless of UI changes. Besides this, numerous other IPA use cases leverage Large Language Models and generative AI. For instance, a company could have a trained dataset monitored by an RPA bot, which then uses generative AI to create and send daily reports to top management, analyzing current numbers concerning past performance. This is a fascinating area that I've been exploring and working on lately.
For business users without technical skills, automation is achievable depending on the complexity of the task. Simple processes like sending custom emails from an Excel list can be easily automated with basic tutorials. While time and practice are necessary for mastery, basic automation can be initiated with just a few introductory videos.
We recently started using Automation Anywhere Copilot, so we haven't had the opportunity to integrate it with many of our automations. However, we have integrated it with SAP, where the bot reviews SAP data and provides the user with the required information at runtime. I have utilized this feature, and it's quite interesting. They also offer integrations with many other software, so the integration level is relatively high. Regardless of the type of features the business uses, whether they are using Salesforce, Microsoft Dynamics, SAP, or even AWS, integrations are available. They provide custom APIs that can be used for integration.
Automation Copilot helped increase our productivity by 60 percent.
Copilot has enabled staff to focus on other tasks by automating processes. For instance, the business department aimed to automate 350 processes this year, but by September, they had already surpassed that goal with 370 automations. Similarly, last year's target of 250 automations was exceeded, reaching 300. This increased efficiency has significantly improved workflows.
Our primary application of Generative AI for our telecom client is to detect service outages, such as when an area experiences a loss of service. We've been strategically planning our Generative AI approach for this year and the next, focusing on utilizing RPA to identify potential solutions and valuable insights within our data. For instance, in the context of outages, we aim to pinpoint the areas with the highest outage frequency, understand the reasons behind those outages, and correlate that information with customer complaint data. By analyzing metrics like complaint resolution times and outage resolution times, we can create a benchmark that helps us identify areas where we can enhance our customer service.
The amount of time Automation Anywhere helps save is dependent on the automated task. For example, the bill review task we automated helped save 10,000 hours per month.
We have several custom ERPs used internally but primarily rely on Microsoft Dynamics. We have a BCRM portal built on the Dynamics portal, hosting both our BCRM business-facing and CRM customer-facing systems. We also utilize Excel with VBA macros and other platforms, including Kofax for OCR. Kofax's Arabic language detection capabilities are crucial for processing UAE ID cards containing Arabic text. Kofax is our organization-wide OCR solution, integrated with Automation Anywhere. Overall, we have integrated Automation Anywhere with various software solutions.
Integrating Automation Anywhere into our workflows, APIs, and business automation is simple. RPA functions like a digital employee, and we can instruct them to perform tasks. Any activity currently done by a human employee can be done via RPA. However, the crucial question is whether it should be automated. If a task is performed infrequently, such as once every six months, creating an automation is inefficient. The time spent developing the automation could be better used to complete the task manually. Automation is ideal for repetitive tasks performed frequently. If a task isn't repetitive, automating it might not be beneficial. Regarding the capabilities of automation, nearly any work an employee performs on an organization's system has the potential to be automated.
Automation Anywhere has a persistent click-related issue that can make automation difficult, particularly in unattended environments. Even the Automation Anywhere team is aware of this problem, which has existed for several years. When automating tasks on a website, clicks may not work as expected in an unattended environment despite functioning correctly otherwise. The Automation Anywhere team has had numerous meetings to address this issue, but a solution remains elusive.
I have been using Automation Anywhere for almost four years.
Automation Anywhere's ability to provide automation at scales is dependent on how well it can integrate with every platform. I would rate the scalability seven out of ten.
I compare all other RPA tools to UiPath, which has excellent support—I'd rate it ten out of ten. In contrast, I'd rate Automation Anywhere's support six out of ten.
Neutral
In addition to Automation Anywhere, we also use UiPath, and Power Automate.
It ultimately depends on the client's preference for an RPA solution. In my opinion, UiPath remains the leading option in the market, unmatched by any competitor. Automation Anywhere currently holds the second position, but I anticipate Power Automate surpassing it in the future. However, UiPath is considerably ahead of the competition, leaving Automation Anywhere as a distant second. While Automation Anywhere is a suitable alternative, UiPath's high pricing can be a factor in the decision-making process. A lot of our clients choose Automation Anywhere because it is cheaper than UiPath to implement. Power Automate is the solution often chosen by businesses that already have other Microsoft solutions integrated into their environment.
The primary distinction among these RPA tools lies in the connectors and capabilities offered by Power Automate. Many businesses already utilize Power BI and Microsoft Dynamics, with most BI-related software relying on Tableau or Power BI. While some smaller-scale operations may still use Excel for dashboards, it's becoming increasingly uncommon. Power Automate's built-in custom connectors for Microsoft products provide a significant advantage. Overall, Power Automate has proven to be a game-changer, exceeding expectations with its features, custom connections, and level of support. While not currently the case, it's conceivable that with further enhancements, Power Automate could eventually surpass Automation Anywhere in the market.
While I wasn't involved in the initial deployment, I contributed to the migration from version A11 to A360. This was a major undertaking, spanning six months and presenting numerous challenges. Despite encountering various issues, we ultimately achieved a successful migration.
Cloud deployment is straightforward, while on-premises setup requiring server configuration can be challenging. A cloud deployment typically takes no more than one business day.
We have two teams: the operations team and the development team. The operations team handles deployment and typically consists of one or two people. The development team's size varies depending on the number of processes requiring automation. For fewer processes, one developer may suffice; however, we may engage five or even six developers for numerous processes.
Automation Anywhere provides good cost savings.
Automation Anywhere's price is considerably better than UiPath's.
I evaluated Robocorp from a POC point of view.
I rate Automation Anywhere eight out of ten.
Challenges in implementing Automation Anywhere depend on the process being automated. For instance, if your organization adopts Automation Anywhere, infrastructure won't be the primary concern as their cloud setup is straightforward. The real challenges lie in the processes themselves. RPA automates processes, so if, for example, in bill review, some invoices are unclear due to being scanned images, the robot might struggle to process them correctly. This is a process-related challenge, not an RPA implementation issue. To address this, instead of incorrect automation, we set a confidence threshold, say 80 percent, below which invoices are flagged for manual review. Thus, RPA implementation focuses on the process itself. Businesses have numerous processes across operations, products, clients, and consultations. The key is to identify these processes and determine suitable solutions. RPA involves instructing the robot on the required steps, which it follows diligently. However, even if ten employees perform the same task, each might have their own approach. Therefore, understanding the process from the user's perspective is crucial to identifying the optimal workflow. This ideal process is then programmed into the robot, ensuring consistent execution. It's important to remember that RPA, including Automation Anywhere, has limitations and cannot deviate from its instructions or make independent decisions.
Automating more complex processes requires a deeper understanding of coding concepts like loops, regardless of the automation scale. I teach UiPath Studio X, which is designed for business users without a coding background. It is a good starting point. Training in Studio X includes teaching basic coding concepts, emphasizing their connection to familiar Excel functions. This approach helps users understand the logic behind automation and bridge the gap between their existing skills and new concepts.
The learning curve for RPA automation, depending on your desired level of mastery, is manageable. It is key to understand all the features and how they work, including the AI-powered ones. Basic RPA automation can be learned in about four to five months, allowing someone to start working as an RPA developer. However, working on an actual project for a year or a year and a half is recommended to become a true expert. This provides ample time to learn the ins and outs of Automation Anywhere, understand the challenges, and develop solutions.
Upgrading Automation Anywhere to a newer version on the same platform is straightforward, but our migration from the obsolete on-premise A11 to the cloud-based A360 required moving every single business process, which was time-consuming. Apart from that specific migration, version upgrades are generally not complex.
Bots running on a cloud platform require continuous maintenance. While the cloud platform can monitor the bots, human oversight is essential to identify and troubleshoot issues like crashes. Large clients may necessitate a dedicated maintenance team working shifts to provide 24/7 monitoring and support. These teams typically monitor the bots' control room on a separate screen while performing other tasks. In the event of a crash, they investigate the cause and, if unable to resolve it, escalate the issue to the development team for further assistance.
Automation Anywhere is an RPA tool we use to automate common workflows that interact with various enterprise applications. These workflows can involve tasks like data generation, sending emails, or completing transactions within those enterprise systems.
We implemented Automation Anywhere to automate our workflows and save time.
In the past, these tasks were handled manually, leading to a lot of repetition. Automation Anywhere has eliminated that burden, making these same tasks much easier and significantly faster to complete.
We implemented AI-based automation that combines documents using intelligent document processing. This involved integrating generative AI to automatically create responses based on the data extracted from the documents. This automation streamlines the process and delivers the desired business output to end users.
Automation Anywhere caters to business users with its user-friendly interface, allowing them to build automation with minimal technical expertise. Our large business user community exemplifies this – after a five-day training program with hands-on exercises, they're empowered to independently develop their own automation within three to four days. This highlights the platform's ease of use from a business user perspective.
To ensure our business users can leverage RPA, we provide training through Automation Anywhere University. This platform offers in-depth coverage of both use cases and technical aspects, along with customized training that helps users directly connect their daily tasks to RPA methods. This blended approach has proven to be very effective.
Non-technical users can overcome the learning curve in four to five days.
While Automation Co-Pilot is a strong solution overall and integrates well with web applications, integrating it with legacy systems may require some effort on our part. However, this effort is typically minimal, taking just a few days to achieve successful integration. We're currently testing Automation Co-Pilot and exploring its potential for AI integration, which reinforces our belief in its overall value.
Based on our POCs, we project that Automation Co-Pilot will add value to our projects.
Automation Co-Pilot helps free up our staff's time on projects.
Automation Anywhere's service and customer support are improving. Their management prioritizes strong relationships with customers, evidenced by frequent collaborative meetings. This focus on customer solutions, along with other efforts, contributes to a clear upward trend in their overall support effectiveness. They've been a valuable asset to our organization.
Generative AI has the potential to revolutionize how we implement automation. Our organization sees a significant opportunity to leverage generative AI within the Automation Anywhere landscape. As a bot-focused organization, we have achieved a 30 percent automation feasibility rate. By combining automation with AI, we can achieve a 70 percent rate. This represents the kind of scalability we envision for our organization.
Our organization is expanding its use of Automation Anywhere. We have two main approaches: governance is handled through a dedicated platform integrated with Automation Anywhere, while bot deployment utilizes a separate web platform built with XTML or Java that interacts with Automation Anywhere for bot execution and deployment.
Integrating automation and APIs with Automation Anywhere streamlines workflows significantly. Users save time and effort since most integrations come with clear documentation readily available before the standard setup process, ensuring immediate functionality. Automation Anywhere's documentation serves as the primary resource for all integrations, and users can find most information there. For any remaining questions, support channels are readily available for further assistance.
Automation Anywhere has significantly reduced our operational costs and freed up employee time. With thousands of automated processes running on our platform, we're saving thousands of hours of work every month.
Automation Anywhere offers a complete suite of development tools to empower developers for various enterprise automation needs. These tools include packages specifically designed for SAP integrations and other commonly used enterprise applications, making them highly efficient for building automation across different use cases within large organizations. Additionally, the web-based nature of the platform adds further value by enabling easy access and collaboration.
Automation Anywhere risks falling behind by focusing solely on Robotic Process Automation when competitors offer more versatile and adaptable solutions that integrate AI for a more intelligent automation experience.
I have been using Automation Anywhere for three years.
Automation Anywhere offers a 99 percent uptime, ensuring a reliable and stable platform for its users.
Automation Anywhere is capable of automation at scale.
The technical support team is knowledgeable and efficient, readily guiding users toward automated solutions. While some complex issues may require additional data validation, they consistently deliver resolutions within established timeframes.
Positive
Getting started is easy - the initial deployment follows standard procedures and can be completed in as little as two days for a simple use case. Complex setups may take up to a month, and the number of personnel required varies from two to ten people depending on the specific needs of each project.
Automation Anywhere falls within a mid-range price point when compared to other RPA tools on the market.
After considering UiPath, Microsoft Power Automate, and Automation Anywhere, we chose Automation Anywhere due to its ability to handle growth in our automation needs and its strong data security measures.
I would rate Automation Anywhere nine out of ten.
Upgrading Automation Anywhere can be challenging, especially when migrating from a client-server architecture to Microsoft's. However, within the Microsoft architecture itself, upgrades are significantly smoother and can be completed within a four to five-hour downtime window.
While Automation Anywhere itself doesn't require application-specific maintenance, we still need to perform regular maintenance on the server it's running on. One person is enough for the maintenance.
The time to maintain bots varies depending on their purpose but typically ranges from one to four days on average.
Automation Anywhere is best suited for enterprise-level deployments due to its robust features. However, for smaller-scale needs, other options might be more efficient. If you're dealing with a large organization, Automation Anywhere is a strong choice. I recommend trying it to experience its microservice architecture, which allows for scalability and agility, as well as its integrated AI capabilities. These features provide a powerful and user-friendly platform for automating tasks.
We have many use cases for Automation Anywhere including HR and finance processes, and for the code in our production.
Before implementing Automation Anywhere we had complex data that was huge. For example, with the insurance, banking, and health sector domains. We were able to solve this problem with Automation Anywhere.
As a partner and system integrator, we have access to a vast database of applications. However, there is no direct connection between the upstream and downstream systems, resulting in scattered data across these applications. Automation Anywhere is effectively connecting all the applications, providing a seamless end-to-end workflow that has helped us.
Moving forward we see opportunities to operationalize AI within our organization. We support 15-plus industries and almost 182 clients across the globe. We have different use cases. One of which is for a client for criminal verification automation. This process is complex because we need to get the information from various systems to authenticate the staff. Another is in the healthcare sector where HIPAA compliance is present. So we ensure that we are not touching the customer data. We are using Automation Co-Pilot to solve some of the problems.
We are talking about a powerful tool in Automation Anywhere. They have been in the industry for 20 years and have learning systems such as IQ Bot, Document Automation, and CoE Manager. We are using this powerful tool and getting the best out of the generative AI. We have used the generative AI to solve complex problems for our clients. In one instance, a project that would have typically taken over a year to complete was successfully delivered within just three days using Automation Anywhere and generative AI. We can also extract data faster including clinical data and audio-enabled data for our clients. Our clients want everything as a package and immediately. Before Automation Anywhere and generative AI this was not possible. Now we can provide a solution to our clients within four to eight hours.
Automation Anywhere uses a GUI which is drag and drop. This means even a nontechnical person can use it. There is no need for a developer. With a subject matter expert, in a logistics or health care process, Automation Anywhere can perform miracles. Automation Anywhere is user-friendly and that has enabled us as a partner to help more customers with their digital transformation. A nontechnical person can be trained to use Automation Anywhere in just five days as long as they have an aptitude to learn.
We have used Co-Pilot to enable the digital gate for one of our banking clients with over 30,000 users.
We have used CoE Manager for one of our large clients which easily provides them with a ROI and allows them to see how the BOT is performing. The CEOs, CFOs, and CROs are all able to see how it is impacting their business much easier. CFOs and CROs are now recommending automation to their organizations for the ROI and the scalability it can offer.
Integrating Co-Pilot is a no-brainer. If we are talking about the day-to-day operations, the digital workforce, having a competitive advantage, and scalability, then we have to implement Co-Pilot. It is mandatory and not optional.
Automation Co-Pilot has saved our clients a lot of time. For example, one of our use cases involved a client with 20,000 users where they used to spend 20 to 30 minutes addressing each user's query. With Automation Co-Pilot that time is now fractions of a second. Having to put customers on hold to check information in multiple systems or not responding to emails can result in unnecessary escalation. With the implementation of Automation Co-Pilot the people that used to work on those things are now happy and no longer stressed out because they can now focus on more meaningful work. Automation Co-Pilot improves the employee and customer experience as well as the overall company benefits from it.
Automation Anywhere product catalog has APIs. The API can integrate with any system in the world. It can be SAP, Oracle, Workday, or any complex core banking application. In the cases where Automation Anywhere is deployed on-premises because the organization is regulated, we can go with Automation Co-Pilot which helps connect internal systems without compromising other aspects of data or privacy. The usage of Automation Anywhere is based on each client's needs and the nature of their business.
I have been an Automation Anywhere partner since 2018 and they are always surprising me. Automation Anywhere is customer-centric and on top of the market demand. Automation Anywhere's document automation solution has a 90 percent accuracy rate with handwritten documents. This is a challenge that no other solution has been able to effectively address.
Co-Pilot is a valuable feature. We have a large client with over 30,000 users. A project that size would normally take two to three years but with Co-Pilot we can solve it in two weeks. Not only is it unbelievable to us as a system integrator but also to our clients.
Automation Anywhere is a powerful tool. The generative AI, hyper scaler with Google and Amazon gives us the power to solve complex problems.
We have learned a lot about how to leverage more of Automation Anywhere on the NLM side.
Automation Anywhere needs to have more testing tools to improve the testing portion of the solution. That would help us do a lot of testing and move on.
The Process Discovery, CoE Manager, and Data Analytics are only available on the enterprise edition. They should be made available for general use and the community edition as well.
I have been using Automation Anywhere for almost ten years.
We have not required the use of technical support for Automation Anywhere yet. When we use new products such as Automation Co-Pilot, CoE Manager, and Process Discovery we use the support. They have a good concept of Orange and Gold support for the enterprise clients. We can get support in two hours with good response times. We can also find a lot of support from the Automation Anywhere Community.
I would rate Automation Anywhere nine out of ten. As a heavy consumer of Automation Anywhere, I highly recommend the solution to many of our clients. The product catalog is simple and the technology upgrades are frequent.
Automation Anywhere is customer-centric and partner-friendly. As a system integrator, we have a hundred-plus resources across the globe to support almost 182 clients. We prefer Automation Anywhere because of what we get from their partner team, pre-sales team, and customer support manager team. When we are stuck on something and give them a call, they immediately respond to us. This is why we promote Automation Anywhere the most. Automation Anywhere is coming out with new products every six months that are needed in the market. This also challenges us when we meet our clients to tell them we have something new and ask them to test it. Compared to the old version, the performance has phenomenally improved. Automation Anywhere is also helping with year-over-year return on investment. Product wise it is not overwhelming and it has tools such as Automation Co-Pilot, CoE Manager, and Document Automation. Those are the only tools we need and it is easy to understand, utilize, and integrate with any LLMs. With a click of a button, we can integrate with any tool that is available like ChatGPT, Google, or Azure.
Regarding maintenance, for instance, we automated the statutory complaints process for one of the largest organizations in India, which had 65,000 employees in 2020. They have not required any maintenance since then, except for when the government changed their portal and that process only took us three hours to complete. This is because the process we developed is still functioning effectively. The product is stable, so unless enhancements to the existing portal are necessary, there is no need for maintenance.
When upgrading from V11 to A360 we faced some hiccups initially, and after that, we never encountered any problems. We migrated almost 5,000 bots from V11 to A360. We initially estimated six months to complete the migration but we did it in two months. 99 percent of our clients are using A360 which helps us move faster. We initially had pushback from the clients not to migrate because they were happy with what they were doing. After we demonstrated the benefits of cloud-native architecture, including a 15-fold increase in performance, and conducted a successful proof-of-concept, they were happy to migrate to the cloud.
Migrating from other OEMs to Automation Anywhere is seamless. Two of our clients wanted to migrate from their OEMs to Automation Anywhere and we were able to migrate 1,500 bots in two weeks.
My basic use case for Automation Anywhere is to ensure that the automation is taking place, and we are also using it for UI development. Additionally, we are using it for bot deployments, which is the main use case.
After implementing Automation Anywhere, we have felt a significant improvement in our processes, especially regarding scaling in the cloud environment we are working in. The cloud feature works effectively after implementing it, along with data manipulation automation for bots and intuitive designing.
We can use AI with Automation Anywhere whenever we are deploying a bot or performing a function. We can integrate multiple AI channels such as ChatGPT, GPT-4, and cloud services, which is the main benefit I love the most. It is a competitor to UiPath, which is a big company. Compared to UiPath, Automation Anywhere is working effectively with its AI compatibility.
For non-technical users, which includes business users, Automation Anywhere is easy to use because it does not require heavy coding knowledge or prior experience. The learning curve is easy, and someone with basic technical skills can easily learn and use it without needing to manually deploy codes or engage in complex tasks.
Our organization uses Co-Pilot with AI integration. Co-Pilot helps us give commands to the automation channel, resulting in outputs that make the job easier. It is a very good game changer in this category, and I would definitely give a good rating to Co-Pilot.
We could see the benefits of Automation Anywhere within 2 weeks of deployment.
We have integrated several tools with Automation Anywhere, including Zoom, Google Drive, third-party channels, and data management tools, ensuring we can easily connect everything needed within our cloud-based network.
There are several things I would highlight about Automation Anywhere, including the AI integration which is exceptional. It has several Generative AI agents that enhance automation capabilities and process orchestration. Since it is based on the cloud, it is a highly scalable product. It is easy to deploy, has a very good UI, and the bots can be easily deployed with no issues.
Additionally, the cost is really good. If we compare it to UiPath, Automation Anywhere stands out significantly.
The learning curve for Automation Anywhere is quite good, as it does not require heavy learning or extensive training for technical and non-technical users.
If I were to mention one area for improvement, it would be on advanced AI commands, such as advanced coding. While this is not critically needed since Automation Anywhere is doing great, improving in that area could be beneficial.
Other than that, Automation Anywhere is working effectively for me. I currently do not have any complaints and wish them all the luck, as they are excelling in the automation sector.
My organization has been using Automation Anywhere for 2.5 years.
We have not faced any kind of instability, lagging, or downtime with Automation Anywhere after implementation; it runs smoothly and is based off the cloud with a good UI, so there is no issue to report.
I feel that Automation Anywhere is definitely a scalable product, and it has the potential to be even better in the future, especially given its good pricing compared to UiPath and similar products.
While I have not needed to reach out for support much. I did interact with their technical support during the implementation. They resolved our issue within 2 to 3 hours, which was not a major problem. I would rate their support positively.
Positive
I have used UiPath as an alternative to Automation Anywhere; however, we made a switch because it was not cost-effective for our organization. During our growth phase, we transitioned and found that Automation Anywhere is better and more cost-effective.
The initial deployment of Automation Anywhere was easy. Our team, which included eight to nine people, assisted with the implementation and deployment process. It took about 1.5 weeks to complete everything.
Automation Anywhere does not require any maintenance on my end.
For the deployment of Automation Anywhere, my team consisted of eight to nine people, including myself.
The current pricing of Automation Anywhere is fairly priced and has provided us with a good ROI on investment. UiPath and other similar options would typically cost 2X the price, which is why we have chosen Automation Anywhere.
Its cost is good.
Overall, I would rate Automation Anywhere a nine out of ten. It is a good product.
As a consultant, I have worked with various clients, including banks, insurance companies, healthcare providers, and different tech companies. Each company has distinct use cases. RPA tools are capable of automating any task. We usually automate processes that are repetitive. Automation is always rule-based.
Co-pilot certainly makes the job easier if the client has a subscription. It allows me to analyze desktop flows and activities and create flows using natural language. Natural language processing using LLMs has become an integral part of IT. This tool lets me create flows using natural language, repair automation errors, and answer product-related questions. It is there to assist us in creating automation tests, CI pipelines, etc.
There are many areas for improvement, especially in the developer environment. Providing a desktop version rather than focusing on the cloud is essential. Only UiPath offers a studio environment for desktop application development. Automation Anywhere lacks a desktop version and is solely web-based and cloud-based.
Automation Anywhere is not so easy for business users who are not technical. It is at the medium level. UiPath also provides UiPath StudioX to enable business users to automate easily.
I have used Automation Anywhere for four years. I have also used UiPath for four years.
The support is good. I have faced difficulties with every RPA tool. Automation Anywhere has a good support system but has room for improvement. UiPath has a huge online community for support. They have a lot of active users.
Neutral
The solution we use depends on the client and their budget.
UiPath is exceptionally more expensive than Automation Anywhere. UiPath is far ahead of its competition, but in terms of finances, Automation Anywhere offers better value and is more effective for organizations seeking cost-effective solutions. Small clients tend to go for Power Automate or Automation Anywhere, whereas large clients go for UiPath.
RPA solutions like UiPath, Automation Anywhere, Power Automate, and Blue Prism can be learned through their academies. When I graduated, I did not know what RPA was. I joined as an intern and was told to go to the academies for these solutions and do the courses. They have developer fundamental and RPA fundamental courses. They also have advanced-level courses of 30 hours, which are free of cost. It took me about two months to learn these solutions. I might have had an edge because of my technical background. For a non-technical person who is willing to put in two or three hours every day into learning, three to four months would be good to take themselves to a level where they can start developing automation at a medium scale. Complex automations happen from experience when you are working with different types of clients. Generally, two to four months is a good period for someone to get a grasp of RPA.
The focus is shifting from RPA to IPA or Intelligent Process Automation. For example, I have done automation for a website task. Previously, when the website changed, such as when a button was shifted, the automation would fail. With Intelligent Process Automation, the bot is intelligent enough to realize the changes that have occurred. It understands what my flow is and what I am trying to achieve. It is then able to modify itself in such a manner that it still works. This is something that RPA has been transitioning toward.
Overall, I would rate Automation Anywhere a seven out of ten.
