Automation Anywhere Reviews

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.

The product is improving our company in a number of different ways through the automation it helps us to create. I would say like the AR function is completely automated right now, but we are in the stages where we are looking beyond AR, beyond finance, and beyond support functions. 

All this time that we were using the product in the beginning, we chose to work on individual processes for automation. We are working in small pockets. We were identifying a project or a process as a small chunk of automation and we looked at opportunities within that particular function or a process and automated it step-by-step. 

For example, within the AR invoice process, there are different types of invoices that we do, like project invoices, manual invoices, past invoices, and other invoice variations. We had started building solutions for these things in isolation. We automated the SPA (Sales and Purchase Agreement) function first and then the project invoices. Then we saw an opportunity and made a change to bring all the invoices into the same platform. So now there is a bot which identifies what kind of invoice it is and it triggers a respective sub-rooting function what we have built-in. This is much more efficient. The AR function is something which we have automated end-to-end right now.

When bots start interacting successfully with each other, that is when we will see a true enterprise RPA (Robotic Process Automation) evolving out of using this solution. So we have benefitted a lot now, but expect that we will benefit even more in the future as we get better at using intelligence.

When we automate, we deliberately kept some manual toll gates. This was a very informed decision that we made. It's a conscious decision that we don't want to leave everything to the bot to do from start until the end because the accountability will not be there with any of the team members. This is one of the reasons why we have kept a manual toll gate in all our processes.

I would say the entire Automation Anywhere RPA functionality is the most valuable part of the product because it helps me to automate the mundane interpretative task. That is where most of my team members, who are part of the support team for product function, spend a lot of their time.

The IQ Bot is good. The pilot that we have done with one of our U.S. entities went well. Our accuracy has increased tremendously over the last two to three months. We have increased FTE efficiency. It's definitely a success for us. 

You spend some time trying to automate using RPA and then once a solution is created, they will gain back the time that they spent in development and then have more time to think about how they can further improvise and improve the process. That is all possible with the RPA. That is what we have been doing successfully in the last two years. The opportunity to customize and build out the platform makes it more useful and valuable.

We found it very comfortable because we are all functional experts. Nobody had any programming experience earlier. We all were able to learn Automation Anywhere in a four day classroom session that we had with one of the trainers from Automation Anywhere. With that, we started our own development. 

At least for our requirements, whatever version we have been using till now —  I think the current version 11.3.2 — is fantastic and more than we could use as we grew with the product. Any additional functionality I'm going to get in the upcoming version is a bonus for us as users. 

No product is perfect, so there is always some room for improvement. Right now we are most interested in cloud functionality. It could give us an additional option for managing everything in on-premises or in the cloud.

My experience and knowledge with respect to our initial deployment of Automation Anywhere were very limited. Had we had more experience, we probably would not have used the Intel landscape. We would have used something more relevant to our process and function. This compatibility might be improved.

I would definitely say Citrix automation is one area we have continued to struggle with for the last two months. If that can be an improvement in design for the next release it would be welcome. I know that a Citrix plugin has been already introduced by Automation Anywhere. If that can be made seamlessly integrated and easy to use, then I would definitely be very, very happy with that as an enhancement. The Citrix automation plugin that they have come out with until now has not been working for us. We are still in the process of figuring out how we can make that work. So, we are collaborating with the technical team from AA. There is an alternate solution where you can just move the system or application out of the Citrix environment and made it a standalone system. That will work. We know the workaround, but we still haven't figured out a solution to making it work in a Citrix environment. Hopefully, they will figure a solution in a month's time.

Any customer would look for advantages and changes in pricing. I won't say Automation Anywhere pricing is not good or not competitive. It is definitely competitive. But there are additional players in the market that they need to compete with and working on pricing could help. I believe there are competitors who do not charge anything for what is the AA Control Room (used for Bot creation). They charge only for the runners (Bot execution).

So there are other options available where you don't need to pay extra costs that may be more attractive depending on your usage. With Automation Anywhere I'm the creator as well as the Control Room. If Automation Anywhere could get a little more competitive on those aspects of pricing, I think it would be like heaven.

I would like them to combine a BPM solution with RPA. Sometimes you need to have BPM in place so your process orchestration will be smooth. It'll go through a standard process. On top of that, you are doing some manual activities that will be replaced with RPA. Automation Anywhere already has RPA, if they would allow us to create a simple BPM solution on top of it to use RPA that is the best resolution. It would solve most of my problems in my processing unit.

I have been using the solution for about 18 to 19 months.

I would rate the stability of the RPA as much higher than the stability of an individual manually handling processes. Because stability is pretty good, the machine will outperform an individual. With respect to individuals, there will be always some attrition — there will be some learning time and people will tend to do mistakes. That is not the case with respect to the RPA. So while that is not directly about the product, it does add stability to our processing.

Beyond that, whenever there is any change to your applications or environment where you have automated a function, that is when your processes or RPA can stop functioning. So it requires a little bit of customization, and again you upload it into the control group. Because the RPA is so flexible and so convenient to work with and easy to use, I don't think that is where the major bottleneck occurs at these junctures.

Beyond that, we developed a fallback plan. We test the fallback plan once a quarter by stopping all the bots in operations and then we invoke the fallback plan. We have this mapped out in a document where we ask the respective processors to do the processes and simulate a stability failure.

There will be always risk associated with anything that you do. It's all up to an individual to make plans as to how they deal with bottlenecks, how to structure plans for potential stability issues, how they mitigate these potential issues by having a proper solution and proper process in place. To me, that is where the secret of stability really lies. It is not really correct to blame the stability of the product when it is the fault of the process. It's all up to an individual better manage how to look at things.

I would say that scalability is a critical aspect of using RPA and maximizing efficiency. When you develop one bot. You can just use it for N number of ports with the same source code. So it doesn't require any retooling. Scalability is very high. There will be some process deviations or some nonstandard aspects associated with any process that may require rethinking and interaction.

For example, maybe because of the ERP (Enterprise Resource Planning) or the different systems that we use or integrate at the time of taking over those processes, scaling may be influenced. The classic example for our company, I would say, is that we have grown manyfold by acquiring lots of companies in the last three decades.

Every time we acquired new divisions or companies, it is not only about the revenue or products. We also get legacy systems or along with those entities, there will be some processes and practices which are nonstandard for our organization. We'll need to incorporate these different systems in the ERP.

But scalability is always possible. With the RPA only those areas where there are differences need to be fine-tuned in your RP source code. Then you can redeploy it successfully. Beyond that, we also take this as an opportunity to evaluate processes because we don't look at the RPA project as an isolated project. It is an opportunity to grow and improve automation in various ways and not just this one project alone.

Even before we automate something, we look at processes to scrutinize what are the nonstandard activities we do. We look to see if there are ways we can make the process more lean, simple and straightforward. This can actually make the process that I'm trying to automate more efficient. Then it is also easier to accomplish the development, easier to integrate with other processes, and more adaptable when you automate the process. Working this way, I know for sure that what I am automating is going to be an efficient process. 

So scalability is very easy and very simple to achieve especially compared training individuals in a process. A bot needs no training. Making tweakings to the source code and deploying successfully in production is much faster and easier. Because of these reasons, I would say scalability is pretty efficient and easy to achieve using RPA.

We plan to increase usage in the future both in our current departments and new divisions of the business.

I would rate Automation Anywhere as one of the best in the world when it comes to customer service. I've had the opportunity to gain specific experience with certain members of their team and the service is consistent and excellent.

Initially, when we started with the IQ Bot project, we had some issues and experienced a bit of a learning curve. So we immediately raised those concerns. Our first issue took less than 24 hours to get fixed, and without adding any additional cost to the customer. That type of service and support of a product is an important thing.

I would say the customer service team, the project team, and even the aftermarket customer success manager are all fantastic guys. I know that the organization has people with strong capabilities and excellent talent. It is very, very evident when you interact with them.

I would definitely say Automation Anywhere is aggressive when it comes to driving success for the customers. They are very passionate about customer success and their focus on the customer.

Some of my team members have taken courses with Automation Anywhere. They still need to complete a few more assessments before they get their certifications. The courses are pretty good, the assessment is very cumbersome and complex (from what I understand). It's too technical for them. Maybe it is easy for technical guys, but not for functional people. I assume that this is the way it should be, because it's an assessment before you get a certification. It has to be tedious and cumbersome to crack it.

The best person in our organization to speak to the complexity of the initial setup is an IT guy from my team. He was responsible for a series of calls to the tech support team and he was involved in a lot of discussion with the Automation Anywhere team initially. Obviously we had contact with technical support so it may not have been so easy to do the initial setup, but I think that is quite acceptable or understandable. Anything which is new will probably be something you need to spend extra time on during the initial phase-in of a new product.

Beyond that initial setup and normal learning curve, I haven't seen any problem with respect to adapting the RPA technology in our company. It has been pretty smooth. The technical support team was great in terms of supporting anything we experienced in the way of technical issues. The only issues we experienced after that have been some issues with respect to using a Citrix environment. We are finding it difficult to automate on Citrix efficiently.

We have been continuously on calls and meetings with the technical support team. They have been coming up with a lot of innovative ways as to how they can fix that problem with Citrix. Of course, we are still in the midst of finding a solution to the issues. But I know for sure with the support that I get from the support team that we will definitely have a solution in the near future.

We did our own implementation with assistance directly from Automation Anywhere's technical support team.

There was a bit of a hand-holding in the beginning because Automation Anywhere developers came and developed a few bots for us. Beyond that, it is all on our own. We have been very independent. We hardly got support from the Automation Anywhere team after that. From our own experience, the tool is pretty easy to understand and start using.

The bot creation process has different processes depending on what we automate, e.g., accounts payable, IT, and procurement. These are miles apart. The complexity would differ based on the different applications that we trying to integrate using RPA.

We try to check the different applications involved for automation and whether they are compatible with Automation Anywhere. Then, we understand the process. We do a value stream mapping, e.g., what are the non-value-added activities that we are currently doing to make it lean, simple, and re-engineer the process. We identify the activities that can be automated using RPA, or any tool.

There'll be the extensive workshop conducted before we conclude what we want to automate, how we want to automate, and how long it is going to take to automate. We do an extensive study to determine:

• What'll be the return on investment? 
• What type of a return that you'll get by automating the process?

We document it and prepare it as a business case. We send it to the sponsor for approval. Once it is been approved, then we will kick-start our development. Once the development is completed, there will be UAT and we will roll it out to go live.

There will be a burn-in period where we will be providing the support. It's like a normal SDLC. It's the same model. However, we analyze the process in detail and a BRD will be prepared, then we will start the development.

A simple process might take somewhere around four weeks from start until the end. Something which is very complex in nature might take up to 12 weeks. Anything which is very complex, we would like to break into small pieces, then automate it step-by-step. We don't try to take the entire thing and digest it. We would rather try to break it into small portions, then move on. 

Calculating ROI for us is pretty simple. We identify efficiency at the beginning, then based on that we will just move the headcount out of the process. We try to compare with the cost spent versus the quote of the money that we have saved on the fully loaded employee cost. That's a simple comparison of what we do. This is a very crude way of calculating our return on investment because there are other benefits that are derived by doing an automation. Other benefits include:

• Improving the quality of the process.
• Eliminating some of the duplicate payments to save some dollars. 
• Making timely payments to the vendor to have better negotiation skills with them. 

These are some of the other overall business benefits that you can derive out of it, but they are too tedious to take into consideration when you're trying to do an archive. That's why we keep it very simple by comparing the labor cost saved versus the cost spent on the technology.

They are already coming out with a community license, which is really good. That's something that I wish to have.

We had looked at a lot of prominent players in the market and examined the different options as well, like Blue Prism and UiPath. Automation Anywhere was the one company who was flexible in terms of offering a PoC. We find this very comfortable. They were very approachable and aggressive, in terms of getting things done. This helped us make a decision in favor of Automation Anywhere. Also, Blue Prism doesn't have the functionality with attended automation that we would like to have. We are looking for the flexibility and convenience that comes with attended automation where you can still run your show.

We ended up choosing Automation Anywhere based heavily on their highly-approachable team. We thought of doing a PoC and Automation Anywhere was the first vendor to volunteer and say they would do PoC for us. That was not the case with the other vendors. They were very reluctant for whatever reason.

In terms of product, almost all the products are good. The differences are insignificant from the product standpoint. What makes Automation Anywhere a little different from the other players in the market is their presence in India. They have a very strong presence in India. They've an excellence sales team, very approachable solutions team, and technical team.

They are very approachable. They come and help you out in terms of creating a PoC, which is not the case with the other companies. The other companies are not that aggressive. They normally don't show that level of interest in terms of getting things done with the customer. They all come and approach for new business, but when it comes to going the extra mile to making something happen, that is where they are lacking. That is the difference for our decision of going in favor of Automation Anywhere.

But we got a lot of support from the company and they have always been willing to go the extra mile in terms of supporting the customer and making solutions happen. So that really influenced our decision, and that is one of the reasons why we want to go with the Automation Anywhere compared to other players in the market.

If I were to rate this product on a scale of one to ten where ten is the best, I would definitely rate them nine. It is not a ten because of what may be my ignorance of the entire Automation Anywhere platform. Probably I'm not aware or don't know the complete suite of assets. I'm not in a position to rate it a ten. To rate Automation Anywhere a ten means I should have complete knowledge of the product and I am sure there are things I have not yet explored. 

As far as advice, the normal tendency — and the mistake often made by organizations — would be to commit at the time of vendor selection by volume of features. They pay too much attention and focus on the product landscape. They think about one solution that has got 200 different functionalities rather than one which has got 210 different functionalities as being inferior just based on a number. But in reality, the users may probably not even be using even 10% of what is available in the tool or the platform. So they tend to give more weight to the product landscape. 

In our case, we made an effort to look at more than just features, but the qualities of the companies and vendors as well. For example, we learned about the leadership journey for each vendor, how long ago they started in this business, how much focus they put into coming up with the product development — the R&D. It is also important who the venture partners are and who the people are who are associated with the company and product.

We have done a lot of automation with our ERP systems. We also have some in-house applications which are on .NET that we have integrated with RPA. This should be the minimum expectation when you're signing for an RPA contract with any vendor. You would expect the RPA solution or tool to work seamlessly with any system. Automation Anywhere works well with no problems except for the Citrix environment. This is where we have had a bit of a challenge. Beyond that, we have never had issues with Automation Anywhere.

These details are relevant and important when you go to make a decision or when you take on a partner as an RPA solution provider. You are not just investing in a partnership for the next six months or a year. Probably some of the bots you are developing today you'll want to be using even after ten years. It's a long-term association what you're trying to make with an entity, the product, and with a company. So it's important that you go through all these checkpoints rigorously.

I've not used anything from the Bot Store.

Every technology has pros and cons with some limitations. There is no point in just harping on the limitations alone. You need to look at how you can make that technology work and solve your problems. This is where the human intelligence comes into the picture.

This technology is an enabler. It will solve most of my problems. It is up to individuals on how to make it work. That is where the trick of the trade lies. If you know how to work with RPA, you will not complain. I've seen many people complaining saying, "RPA doesn't work. It doesn't give you ROI." It's not the technology's problem. It's the people's problem. It's your mindset which is stopping you from getting automated and start using the technology. 

Biggest lesson learnt: You'll understand existing processes in a different dimension. You'll understand your people problems with the process in a better manner. It should not be just be looked at as an opportunity to automate it. If you look at the overall process to revamp and re-engineer it, then you can make your process efficient by making it lean, simple, and straightforward. On top of that, when you try to automate it, the overall process efficiency should increase tremendously. 

if you just look at RPA as a tool to automate everything, that is not a good approach. There are some things which can be automated efficiently using simple VBA Macros. Sometimes you might require a simple .NET solution to automate your end process, which is more efficient. You can make automation in the existing ERP, and that might work better. You have to look at different ways of automating things based on the process and complexity. You have to look at what is the ideal solution, then you have to pick and choose what you want to automate.

Don't look at RPA to solve all your problems. You need to use the right technology to automate, simplify, and minimize your problems.

We use Automation Anywhere to integrate between different systems like CRM and ERP.

We adopted Automation Anywhere to streamline our operations, enabling us to extend service hours while reducing manpower needs and human error, ultimately driving down costs and improving efficiency.

Before Automation Anywhere, manual processes were time-consuming and error-prone. Now, automation gives us peace of mind with error-free execution, saving us manual time while running 24/7.

AI, specifically through machine learning techniques, will impact data analysis and decision-making.

Automation Anywhere is easy to use, even for business users. It is considered user-friendly, with clear documentation available. However, I've found the most effective way to learn is by observing colleagues who are building new processes, allowing users to see the software in action.

A non-technical person can learn to use Automation Anywhere within two weeks.

Automation Anywhere has significantly boosted both our sales department's performance and our finance department's efficiency by automating time-consuming manual tasks, freeing up employees, and enabling us to complete many processes without human intervention.

Depending on the task, Automation Anywhere has saved us up to 70 percent of our time, directly correlating to cost savings.

We have Google Workspace, Microsoft Excel, ERP, and CRM integrated using Automation Anywhere.

Automation Anywhere's integration with APIs is durable.

The most valuable feature of Automation Anywhere is the ease with which it integrates with our existing APIs.

Automation Anywhere can be enhanced with additional safeguards during the database-building process to minimize errors.

When dealing with a large number of variables, uploading them directly from an Excel sheet to Automation Anywhere is not supported. In such cases, we have to enter each variable one by one.

I have been using Automation Anywhere for almost four years.

Automation Anywhere is stable.

We can scale Automation Anywhere by adding more licenses.

The technical support team is not only responsive and helpful, but they also offer a rich library of documentation that provides valuable self-service resources.

Positive

We need to install a client into our machine to use Automation Anywhere.

Implementing Automation Anywhere proved challenging due to platform-specific intricacies. Each platform, like Google Cloud and AWS, requires unique implementation techniques. Fortunately, once these variations are understood, the process becomes streamlined – it only took me two days to grasp it on Google's platform.

Automation Anywhere might have a higher upfront cost than some competitors, but its extensive features and seamless integration with other tools can save organizations money in the long run. This is because they wouldn't need to purchase those capabilities separately.

After implementing Automation Anywhere, we explored other options like Microsoft Power Automate and considered UiPath, though I hadn't used it directly. Automation Anywhere provided the smoothest integration with our existing third-party tools.

I would rate Automation Anywhere eight out of ten.

Maintenance is only required for the on-premise version of Automation Anywhere and is performed by a couple of administrators.

Daily, we perform routine bot maintenance for a few minutes, unless a significant problem arises.

We teach Automation Anywhere to people with refugee backgrounds. It is cutting-edge technology that requires no code which makes it easy to learn and earn. This has given them greater opportunities for job inclusion.

We also use Automation Anywhere in-house in collaboration with other corporations in our Social Impact office to create curriculum and scholarship programs for people with refugee backgrounds. We train them and we do projects where they can test automation delivery for Automation Anywhere's new features. They can learn quality assurance and delivery. This way they are well trained and can provide test automation services for other companies.

The reason we implement Automation Anywhere is two-sided. For refugees, it is about evolving their skills and digital career development. For corporations, they want to utilize automation with generative AI so they can do both automation and analytics at the same time which increases their productivity even for test automation. 

Automation Anywhere changes everything drastically. Testing software takes long hours, but with Automation Anywhere we can do it within seconds. With generative AI we can create test scenarios and test data more accurately. There are a lot of changes going on.

We get a lot of requests related to documents. We can use automation, OCR, and generative AI. OCR works like eyes where we scan documents and we can use the data with automation to let the AI read it. The AI functions as the brain. Many retail companies have import and export departments dealing with many papers. They can automate them using OCR, generative AI, and automation.

The most popular programming language is now English. It has expanded the digital population. Everyone can use generative AI with just natural languages and people can focus more on local technology to handle that AI. Automation Anywhere together with generative AI is great because it is easy to use and automate.

Automation Anywhere did a lot for us. Neeti Mehta who is one of the co-founders of Automation Anywhere believes in our purpose. Everyone deserves a second chance. The number of refugees on Earth is now one hundred million people. This means that every second another human is being forcibly displaced. These people need another chance. Automation Anywhere is used by corporations and governments. People are looking for a solution that works well with generative AI and Automation Anywhere is the best solution for that. Automation Anywhere accelerates the productivity of humanity and at the same time creates inclusive job opportunities for refugees.

Automation Anywhere is super easy to use for people who don't have technical skills. Our people with refugee backgrounds didn't have IT knowledge but now they have the talents to professionally provide automation technology for corporations. It is really easy to use.

We train our refugee talent professionally, so it takes about three months to learn. Professional coding training usually takes six months. The learning curve for Automation Anywhere is shorter for our people. Our members deliver projects to teach other employees in large companies. This doesn't take three months because we provide workshops to learn bot creation and they work together to create their first bot within two weeks. It is really easy.

We started using Automation Co-Pilot around two months ago and it has helped increase everyone's productivity.

I anticipate that Automation Co-Pilot will help save us and our customers time and money, not just because we can automate our tasks but also because we can do many analytics that we couldn't do without Automation Anywhere. It is about how to enable value-add work that we can't do without automation technology. It is not just about saving time but also about advanced analytics.

Automation Anywhere is one of the best companies for automation technology and we invest a lot in integration with other systems. We have many requests from other companies but Automation Anywhere goes well with most of the systems.

Automation Anywhere has saved us and other organizations who care about social impact a lot of time and money. As an estimation, Automation Anywhere is about 60 times faster than a human. The time spent goes from one hour down to one second when we use Automation Anywhere.

Automation Anywhere can improve process mining. Many people have started using generative AI. There are many types and many systems. People are reshaping their operational flows and with a process mining system, we can visualize what we are doing with generative AI and easily spot where automation can be used to improve productivity.

I have been using Automation Anywhere for three years.

I have used other automation products and find Automation Anywhere to be easier to learn and use. Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly. It is also cloud-based making it more portable and easier to integrate with many cloud systems.

The deployment is easy. We are not implementing huge ERPs, but rather automation technology so it is easier than traditional huge systems. It is more flexible and we can use it to automate any task we desire.

The time it takes to deploy depends on the tasks. When automating critical operations we need to be careful in the assessment but it should not take more than six months to complete. We can complete an easy deployment in two weeks. 

I am working on the democratization of DX. I teach refugees digital skills and then our members accelerate DX of society by teaching other people digital skills. Automation Anywhere is easy to learn. The metrics we focus on when evaluating products are the learning curve and how much the product is used in the market in different countries. Automation Anywhere is used in many countries and we can support many global corporations.

I would rate Automation Anywhere ten out of ten.

Our journey started with a migration initiative with something that already existed in an RPA solution. Then we started expanding and we started going into finance and HR activities. We use it in different entities and have been working with Automation Anywhere to build automation. We're seeing a lot of very good use cases that help deliver very good ROI. 

Our company is quite large. We have several hundred applications and systems, including legacy systems. As part of a recent merger, part of our work is consolidating these systems. There are a lot of challenges. Someone has to manually perform activities, for example, to be an integrator between two systems. We use Automation Anywhere to bridge the gap. Wherever we can find and remove the human from repetitive tasks, we use Automation Anywhere. 

This is a cloud solution. The framework we had before was on-premises. We wanted to move to the cloud, and that was a huge change. We're also able to redesign and refine processes that may have already been in place.

During our migration initiative, we were able to talk to different customer groups and revisit aspects to make things better and do things that may be needed. We were able to effectively optimize the processes and redo what was already in the existing platforms.

There is a lot of interest in operationalizing AI. There's a lot of buzz around generative AI. We've been reviewing different AI services. However, our focus has been more on orchestrating an entire end-to-end process, not just the AI. When we're talking with all the groups, we try to identify which steps can be automated, and add AI into the mix, if it is needed and it makes sense. We've had a lot of opportunities to work within legal, corporate, finance, HR, et cetera, and we're working to bring more use cases into production. Right now, it's all in proof of concept. 

The leadership is very invested in generative AI and doing a lot of research. There's a separate team that does InfoSec reviews. We're undergoing a stringent vetting process. We're in the analysis phase to ensure the data stays within the model and doesn't go outside the LLM for training. 

We are finding opportunities to implement some hyper-automation options. 

Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success. 

It's easy for business users who don't have technical skills. We try to build and help users build automation quicker. We've built a framework around it that's made it easier for everyone to build automation. 

The learner curve for users is okay. The curves are different for end users. We have a large footprint of citizen developers, and some take quicker or longer depending on prior project commitments. It depends on the amount of time they can commit to it.

We've used the automation copilot, which is quite useful.

We have a lot of internal tools. A lot of finance and HR, for example, have specific apps and platforms. We've established a lot of connectivity with other apps. If there's an interest that business users want to start building, we already have the framework in place, which makes integrations fast.

We get a seamless experience when using the packages. There are constant upgrades. It doesn't stay stagnant; there are new features added to it. The consistent growth of the packages has remained seamless.

We save time and money. I can't share exact details, however, we do have good ROI. We track time, compliance, cost avoidance, et cetera. Everything is heavily tracked, and we make it available for leadership to review. 

The improvements have already been rolled into recent releases, like better governance models. From a GenAI perspective, there are good releases like automation pilot and copilot that are already part of the product's release agenda. 

They need to improve the stability of the core functionality. If they keep the core constant and constant, they will continue to thrive. It needs to stay consistent. 

I have a long history with the solution. With my current company, we've been using it since 2021. However, in my previous roles, I've worked with it as well. 

The platform is highly scalable. That's one of the key advantages. We build at first on a smaller scale, and build it up over time. The scaling part has been really seamless. It's been good so far. 

We've had a great experience with technical support. They've partnered with us in terms of the challenges we face. We have a collaborative relationship and have had a positive experience. 

As the product evolves, it would be great to have more support and have them up to date on the latest and greatest. The teams should be constantly upgraded to ensure that if something goes wrong, they can handle anything - that will be important for the future.

Positive

We do use other tools that are low code/no code, such as ServiceNow, SalesForce, et cetera.

Everyone tries to improve their opportunities. This competitiveness has helped the product evolve. 

We've deployed processes within a week, while others might take four or six weeks, depending on the complexity. We have release schedules and release controls in place. Everything is streamlined, and we test before the automation goes live. 

We're on the cloud, so we do not have to upgrade anything. 

Maintenance is more on the partner-owner and device side. There might also be work upgrading and testing packages and new features. We do spend some time when a new feature comes out to test it before we actually upgrade our packages.

The licensing isn't an area I can discuss in great detail. 

I'd rate the product eight out of ten. They have been an industry-leading automation solution provider. They have a lot of experience, and the core functionality is great. Keeping up with the market and putting in new competence into the product - the constant innovation - makes the product impressive. 

It helps to free up our staff to work on value-add projects. It has saved their effort. With the automation of their project, a task that would have previously taken ten hours can now be done within four hours. We can then have them on other projects where more resources are required. They can utilize that time.

Automation Anywhere has helped our organization increase its automation consumption. In the last three years, we have used Automation Anywhere excessively, and in terms of cost, we have saved up to 50,000 to 60,000 dollars in three years.

I have used Automation Anywhere, UiPath, and Blue Prism. The licensing cost of Automation Anywhere is better than UiPath and Blue Prism.

Features such as MetaBot and IQ Bot are very advanced and capable as compared to reading PDFs using OCR.

It is very easy for me to use, but for non-technical users, Automation Anywhere is a little bit challenging. If you have previously worked with any other tool, such as Blue Prism, it is a little bit difficult to understand because the nomenclature and terminologies are a little bit tricky. After you have hands-on experience with it for six to seven months, it is quite easy to understand. 

Automation Anywhere's UI is difficult. Its user interface can be improved.

They can improve their community so that if any help is required or if we face any issues, we can easily go there and get the help needed. In the case of both UiPath and Blue Prism, the community is very good. Everything is mentioned in the community. We just need to type a keyword, and we get the solution we need. It would be great if Automation Anywhere could improve their community.

In terms of additional features, there could be support for the cloud-based technology so that, similar to Orchestrator, we can use the control center from the cloud. It should be on-premises because a lot of financial institutes use automation, and they cannot upload their data or transfer their data to a third-party cloud. It would be good if they could host the system on the organization's premises.

I have been using this solution for the last five to six years. I am not using its latest version.

It is not as stable as UiPath and Blue Prism. There are some software crashes.

It is scalable but they need to enhance their product so that when any huge load of data comes, it does not crash. If we have to work on a million records of Excel data, it would crash.

They have a support channel where we can raise our concerns. If we cannot understand something or we do not have a solution for something, we can raise our concerns and requests in their support channel, and they provide the response or solution. We just need to create a ticket. I would rate their support an eight out of ten. Their support is good.

Positive

I have been working in the automation field for the last 11 years. I started my journey with Automation Anywhere, version 10.7. After that, I started working with UiPath and Blue Prism. I work with all three RPA solutions. I am an expert in all these three solutions, and I am also certified in these three solutions.

We utilize a solution as per the requirement or process. UiPath and Blue Prism are easier to learn than Automation Anywhere. In terms of performance, if you use heavy logic or complex logic, Automation Anywhere isn't as stable as compared to UiPath and Blue Prism. Blue Prism is very stable if you build any process or do automation of any process, whereas in the case of Automation Anywhere, your application or your process can break. However, Automation Anywhere is quite fast. The setup is quite easy. You can easily set it up on your system. The UI is very fast. There is no lag.

I installed it on my personal laptop, and it was straightforward, but for the production environment, the Infra team takes care of the installation. It takes them a maximum of two to three hours.

It is on a cloud. It is hosted in the Citrix environment, and it is being used by multiple departments. We need to log in to Citrix to utilize it.

Its maintenance is handled by our Infra team. If there is a patch release with a feature or fix that we need, the Infra team updates its version. Otherwise, we keep utilizing the same version. Our Infra team has access to the Citrix environment. They can create and close the Citrix environment, and that is why they do the maintenance. Any maintenance activities are done over weekends so that none of the in-progress processes get affected. Generally, they happen over weekends. They usually start on Saturday and then the activities are complete by Monday morning.

We are investing a lot in the licensing cost. If there was no ROI, our organization would not invest in it. We calculate the efficiency in terms of the effort saved by our full-time employees, which could vary depending on the processes. There could be 2% or 5% savings monthly, and based on that, we calculate the annual savings. Overall, there could be a 10% to 12% improvement in efficiency.

Automation Anywhere's licensing cost is better than UiPath and Blue Prism. The licensing cost is a big factor because you might have 50 or more bots, and the per-bot license cost is about $5,000. That is the amount that you need to invest.

We have explored various RPA solutions such as Kofax. We generally go for solutions like Automation Anywhere, UiPath, and Blue Prism because of their capabilities. Our clients also want the best and the most cost-effective technology.

I would recommend Automation Anywhere, but it also depends on the cost. If you get a good discount on the license, go for it.

Automation Anywhere is easy to learn if you have experience with automation tools. If you are starting from the beginning, you will have to invest more time compared to the other RPA tools. It could be a bit difficult for non-technical users. You at least need to know what data variables do and what strings do. All these things are technical. You would also need to write VB or C# code, so non-technical people cannot work on these things.

Any integration completely depends on the application support. We have integrated ServiceNow API with Automation Anywhere. If the API is already provided by the organization or the development team, it is quite easy, but if we have to design the API or it is not available, it is a little bit difficult to integrate the application with the automation tool.

To someone who wants to use API integration instead of an RPA solution, I would say that based on my understanding, API integration is completely different from RPA. RPA is an end-to-end solution. It can automate your desktop applications. It can automate your browser-based application. API and web services are also included in RPA, so RPA is a complete ecosystem. API is just one part of it. Only through API, you cannot do automation. Through API, you can get values, and you can put values. You can modify values. You can generate a request or an incident, but creating a report via that data and replacing that data is not possible through API. You have to do it manually, or you have to open it in Tableau or Power BI and create a dashboard. By using an RPA tool, you can download data. You can change the request. You can get the request. You can modify those values and manipulate them according to your requirement. You can then create a dashboard. 

Overall, I would rate Automation Anywhere a seven out of ten because of the stability and the terminology used in the product. The terminology they use is not for the layman. If I have to showcase it to my leadership, they would not be able to understand what MetaBot and IQ Bot are and why we use them. I have to make them understand in layman's language.

I use it for various IT operations.

Automation Anywhere has significantly improved our organization's efficiency. Across various processes, we have achieved a 90% time savings for each use case, making our workflow much more streamlined and productive.

We used to do things manually, which took a lot of time. Now, with Automation Anywhere, most things are automated, making things faster and better. Sometimes we still need to do things manually, but overall, it has made our work much easier and less prone to mistakes.

To improve Automation Anywhere for the next release, standardization is key. The application should work universally across servers and desktops, without limitations on licenses tied to specific virtual machines. Currently, the one-to-one bot and VM dependency pose restrictions, and a more flexible licensing system would enhance its usability. Additionally, for business users without technical skills, using Automation Anywhere can be challenging. While it is easy to develop automation, deploying and running them requires some technical knowledge. Training is essential to navigate the platform effectively.

Upgrading Automation Anywhere can be challenging. Communication about upgrades is lacking, and an auto-upgrade feature or at least notifications would be beneficial. Currently, there is no automatic check for the latest version, and improvement is needed in providing information to users about updates.

I have been working with Automation Anywhere for a year and a half.

It is a stable solution. I would rate the stability as an eight out of ten.

Automation Anywhere can provide automation at a large scale, but the effectiveness depends on the complexity of the processes, which is common for any ERP system.

I would rate the technical support as an eight out of ten.

Positive

The deployment process is fairly straightforward. Deployment of Automation Anywhere typically requires just one person. If you are familiar with the entire workflow, one person can manage the deployment effectively. Maintenance for Automation Anywhere is minimal. However, due to recent use, aspects like patching and version upgrades are not entirely clear, and occasional manual intervention is needed for tasks like access management.

The price for Automation Anywhere is reasonable compared to others, but there are some feature limitations. Specifically, the ability of one bot to support multiple VMs is an issue, distinguishing it from some other solutions.

In our organization, I see great opportunities to operationalize AI, particularly in the realm of monitoring. Whether it is through comprehensive monitoring tools or leveraging Python for data analysis, there is potential to enhance our operations.

Assessing the learning curve for Automation Anywhere, it takes around a month for non-technical employees to become proficient. While an expert developer might grasp it quicker, providing training is essential for non-technical users to effectively learn and use Automation Anywhere.

Our organization is focused on expanding automation and AI use cases, continually adding more features. Additionally, there is an interest in exploring generative AI to enhance our capabilities further.
We have integrated Automation Anywhere with various solutions, including ITSM, a centralized portal, and several third-party applications.

Integrating Automation Anywhere into our workflows, APIs, and business applications is effective, but it is crucial to ensure a secure network.

Automation Anywhere has been a time and cost-saver for us. Achieving a 90% cost reduction in tasks is a significant boost to resource efficiency and overall cost-effectiveness.

We use Automation Anywhere across multiple departments, but it operates within the same environment and infrastructure, given its public nature.

My advice for those using Automation Anywhere is to start with a less complex use case. It is a good platform overall, but beginning with simpler tasks will help ease into the automation process. Overall, I would rate the solution as a seven out of ten.

We mainly use Automation Anywhere for pod development, to automate repetitive tasks by replicating them into bots. We conduct tests and POCs with other tools that Automation Anywhere offers. We try to see what's the best fit for our company. Because of the large offering of different tools, we see how we can leverage them and identify if they are the best solution for our teams. Mainly, we use Automation Anywhere for RPA bots for automation.

We wanted a tool that was easy to use and to implement, that we could leverage to then do the applications, and it was quick enough in our trial that we could just take our opportunity, design, and develop the requirements, and then build the solution from there and help the business with tasks that didn't add value to their processes.

We currently are looking at different use cases for AI such as document automation, process automation, product automation, communication, and many others. So we are looking at different platforms, including Automation Anywhere. Now that Automation Anywhere is offering the AI capability we want to see how we can best feed to our company and leverage AI to help us implement processes, and projects faster and automate processes in a way that will help our business.

When it comes to generative AI, the technology is here, and it's open to people to use. We wanna make sure that we leverage fully, to continue being a leader in the market. Generative AI is here to stay. We wanna make sure that we get the best use of it while maintaining quality and transparency, and making sure that we have all the security in place to leverage generative AI.

I did not have a technical background and I was able to build my first bot using Automation Anywhere after just one course. The learning curve is simple. Automation Anywhere has prebuilt blocks so we don't have to code. It is user-friendly and simply a matter of understanding best practices because we can build blocks and create with 50 steps, but we can also create with five steps if we are using best practices. When we start using the solution we look at different ways to approach the same problem and best practices so it gets better. It is a straightforward and user-friendly platform to start our journey with RPA and automation.

We are trying to start using Automation Co-Pilot but we have not fully deployed it yet because we are still trying to create the connectors. We do see the value of Automation Co-Pilot for our business. We want to be able to add humans into the loop and trigger bots. This way businesses can review the processes and even make changes. It is a better interface with fewer clicks and added value for the business user.

We touch every application in our business with Automation Anywhere. We connect to some using APIs and others through the UI depending on the applicability of the solution we are building.

Automation Anywhere is easy to implement and integrate with workflows, APIs, and applications.

We do have savings with Automation Anywhere. When we implement, we look at how much time we are saving the person and how much we can save by reducing the repetitive manual work for a business user. We have a good amount of bots that we have developed that help save the business time.

Even though we haven't used all of their features for some of our use cases, because they look at the end-to-end process, it's very useful for businesses that are starting their journey. They can build an end-to-end solution with Automation Anywhere. In our case, we leverage the automation RPA solution, but we do see other use cases to leverage other tools and applications that they prefer.

My background lies in continuous improvement, and as a black belt, I think we always have the opportunity to improve. Automation Anywhere is always looking for what is next. Even though they may have implemented something today, they are still looking at what can help our clients in the future. That is a great way to have the right offerings for clients and more of an opportunity to build a bigger community on the automation group and leverage that with the lessons learned and the challenges. Automation Anywhere is headed in the right direction but they still have a good way to go.

I have been using Automation Anywhere for one year.

I appreciate the technical support of Automation Anywhere. They are knowledgeable, senior, and jump to help us find the right solution and assess from our business case what would be the best way to approach it.

Positive

I would rate Automation Anywhere eight out of ten. It is a great tool that is easy to implement and they are always looking for what is next.

The time it takes to learn Automation Anywhere depends on what the user wants to do with it. Do they want to be a developer, a business analyst, or help businesses understand processes and identify opportunities? If a person has a good understanding of processes it can take anywhere from a few months to a few years. For a developer, it can take a bit longer.

When we analyze a problem, we consider the most effective solution, which may not always be automation or RPA. We employ other tools when appropriate, but Automation Anywhere is frequently used in our process improvements.

When there is a version change we have to conduct maintenance. It is a fair amount of time but not so much that it would impact the quality of our services.

We have a group of close to ten people who have a relationship with Automation Anywhere and deal with the maintenance.

We have a bot support group for our full portfolio because we have attended and unattended bots. This group supports the bots 24/7.

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.