Head Transformer at FLSmidth
Real User
Has the ability to customize and build out the platform to make it more useful and valuable
Pros and Cons
  • "The ability to create automation itself is a benefit that reduces human error and enhances efficiency. Technical support is unsurpassed."
  • "It is difficult to learn all the possibilities that the product and automation itself offer."

What is our primary use case?

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.

How has it helped my organization?

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.

What is most valuable?

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. 

What needs improvement?

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.

Buyer's Guide
Automation Anywhere (AA)
April 2024
Learn what your peers think about Automation Anywhere (AA). Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
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For how long have I used the solution?

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

What do I think about the stability of the solution?

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.

What do I think about the scalability of the solution?

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.

How are customer service and support?

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.

How was the initial setup?

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.

What about the implementation team?

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. 

What was our ROI?

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.

What's my experience with pricing, setup cost, and licensing?

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

Which other solutions did I evaluate?

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.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Jintae Kim - PeerSpot reviewer
CEO at Robo Co-op
Video Review
Real User
With generative AI we can create test scenarios and test data more accurately
Pros and Cons
  • "Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly."
  • "Automation Anywhere can improve process mining."

What is our primary use case?

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. 

How has it helped my organization?

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.

What needs improvement?

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.

For how long have I used the solution?

I have been using Automation Anywhere for three years.

Which solution did I use previously and why did I switch?

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.

How was the initial setup?

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. 

Which other solutions did I evaluate?

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.

What other advice do I have?

I would rate Automation Anywhere ten out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Reseller
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Buyer's Guide
Automation Anywhere (AA)
April 2024
Learn what your peers think about Automation Anywhere (AA). Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,740 professionals have used our research since 2012.
VP of Automation Architecture at Accenture
Video Review
Real User
Helps automate processes, has innovative AI, and is constantly evolving with the market
Pros and Cons
  • "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."
  • "They need to improve the stability of the core functionality. If they keep the core constant and constant, they will continue to thrive."

What is our primary use case?

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. 

How has it helped my organization?

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. 

What is most valuable?

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. 

What needs improvement?

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. 

For how long have I used the solution?

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. 

What do I think about the scalability of the solution?

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. 

How are customer service and support?

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.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

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. 

How was the initial setup?

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.

What's my experience with pricing, setup cost, and licensing?

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

What other advice do I have?

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. 

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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PeerSpot user
Head of functional & technical architecture - Support functions Information System at a manufacturing company with 5,001-10,000 employees
Real User
Provides automation at scale, frees up time to focus on value-added tasks, and increases automation consumption
Pros and Cons
  • "We did not encounter any stability issues with Automation Anywhere during the time I worked with the solution."
  • "The feature, which might be interesting for companies that don't already have an identity management system, was a bit tricky because I would have preferred the system to directly rely on our corporate identity and access management system to manage the bot's credentials."

What is our primary use case?

I am striving to provide individuals with more time to focus on value-add tasks due to widespread headcount reductions. For instance, in finance and accounting activities, we use Automation Anywhere to replace individuals in maintenance tasks or those that were previously unknown to be time-consuming. This is where we witness the greatest utilization of bots. 

Moreover, we employ bots to handle fines associated with individuals driving company cars. With hundreds of fines occurring each month, it used to be a nearly full-time responsibility for one person to receive the fine, identify the driver at the time of the incident, and ensure the fine was directed to the appropriate person for payment. Such activities lacked significant value and consumed a considerable amount of time for someone, but now the bot handles these tasks on our behalf. I believe that finance is the primary area where we extensively utilize Automation Anywhere.

How has it helped my organization?

When we began deploying the bots, we established Key Performance Indicators to assess the return on investment. For instance, if a bot could save one-third of an individual's time, we would evaluate the amount of time saved and dedicate it to value-add tasks. However, evaluating the exact monetary savings facilitated by the bots is challenging because the funds are not directly spent on low-value activities. Instead, they can be utilized differently. 

It is important to note that the bots never completely replaced human workers. No job was entirely taken over by a bot. Rather, it was an assessment of how effectively we spent money with the assistance of bots, as they enabled individuals to perform tasks more efficiently. Although I don't recall the exact details since it was in the past, we would reassign the equivalent of full-time employees to these value-added tasks instead of low-value ones. At the time of my departure from the RPA topic, we had 150 bots in production, and we had a clear understanding of how many full-time employees would be dedicated to higher-value tasks as a result.

The ability of Automation Anywhere to provide automation at scale is commendable. We have indeed achieved tangible business benefits. That is certain. I am no longer aware of the metric used to evaluate this, except for the fact that we have eliminated various mundane activities from the workday of numerous individuals.

Automation Anywhere has helped our organization increase its automation consumption.

What needs improvement?

From what I recall of the type of issue we had to deal with when we started implementing Automation Anywhere, it was the integration with the identity and access management system that the company might use. This is because Automation Anywhere has a vault where we store all the information related to the bot, including the password it will use to connect to the system. The feature, which might be interesting for companies that don't already have an identity management system, was a bit tricky because I would have preferred the system to directly rely on our corporate identity and access management system to manage the bot's credentials. This way, we wouldn't have to store this information in the bot as well. It's something to consider in terms of integrating with an existing IT landscape.

For how long have I used the solution?

I have been using Automation Anywhere for almost six years.

What do I think about the stability of the solution?

We did not encounter any stability issues with Automation Anywhere during the time I worked with the solution.

What do I think about the scalability of the solution?

Automation Anywhere is scalable.

How are customer service and support?

The technical support was helpful and responsive.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We had previously been using UiPath, and in late 2017, we acquired an organization that was already using Automation Anywhere, which belonged to a much larger organization. Consequently, we began to explore that tool and benefited from our colleagues' positive experiences with Automation Anywhere.

They were able to provide suggestions on the setup and deployment of the solution. As a result, we ultimately decided to discontinue the use of UiPath and transitioned to Automation Anywhere. Without the acquisition, we might not have implemented Automation Anywhere and instead would have continued with UiPath or explored other alternatives. Due to the acquisition, we were able to recognize that Automation Anywhere was one of the market leaders and swiftly create a proof of concept.

How was the initial setup?

The initial setup was straightforward. Although I was involved in the deployment project, the actual installation was carried out by those responsible for implementing the Windows servers.

We needed to acquire the hardware because we had an internal cloud at that time, so we still have it. I would say that we managed to allocate the servers. It didn't take long. We provided training for the people who would deploy and customize the product with the assistance of Automation Anywhere in France. The global deployment infrastructure was ready to be used within a few weeks.

What about the implementation team?

The implementation was completed in-house with the help of the Automation Anywhere team.

What's my experience with pricing, setup cost, and licensing?

We obtained benefits from the original price prior to the acquisition and had to engage in negotiations due to the expansion of the usage scope. We were required to purchase licenses and bot runners, which determined the permissible run times for the bots. We successfully achieved a fair price worldwide. 

What other advice do I have?

I rate Automation Anywhere an eight out of ten. 

We primarily utilize an attended bot, meaning they are not created by users. We have made efforts to retain control over IT in bot creation to prevent it from becoming a new avenue for shadow IT. When we started in 2018, the final department had a dedicated team responsible for bot development. However, they eventually hired contractors who developed C-Sharp programs that interacted with SAP through APIs. The bot would simply launch these programs, which is not the ideal method for automation, as we believe the bot should directly interact with the application instead of relying on a separate program to communicate with SAP through an API. I believe the team responsible for this no longer exists. Presently, we have a process in place to identify relevant use cases, and we are collaborating with a subcontractor who creates the bots for us based on specifications provided by the business.

We utilize Automation Anywhere with an attended bot. This implies that after receiving the specifications from the business and creating the purchase, we establish an agreement on the bot's scheduling for execution. However, the user never directly interacts with the bot; they only observe the results of its actions. Therefore, there is no need to provide training for users to utilize Automation Anywhere. We maintain IT control over it, while the development itself is outsourced. Consequently, the issue of the learning curve is not applicable to our situation.

We didn't use a lot of APIs with Automation Anywhere. Instead, we simulated the user's actions on the application's user interface. I can't recall any instances where we relied on APIs to initiate actions in the systems we were connecting to. However, I am aware that APIs can be utilized. There was a point when we wanted to employ APIs to retrieve the password or the bot from our identity and access the financial system just before the bot was about to commence its task. Additionally, we intended to trigger an API to reset the password once the bot had completed its job to ensure that there were no potential security threats associated with the user IDs used for the bots.

For those who prefer using API integration instead of a comprehensive process automation solution, I would like to emphasize that it's not exactly the same approach. Integrated APIs require developing a program for them to interact with. In my opinion, RPA offers a more straightforward approach as it simply replicates user actions within an application. We already have a ready-to-use bot. However, I wouldn't recommend using bots for everything, especially when we encounter use cases that resemble interfaces. 

Essentially, it involves manipulating the user interface of an application to extract data and then sending that data to another application on a daily basis. This approach doesn't seem logical. I'm not sure about the usage of APIs in the context of actual IT program development, where we need to retrieve data from various source systems that provide APIs. In such cases, we genuinely desire bots that faithfully mimic the actions of real users within an application. Our intention was never to replace any kind of deployment with bots, which is why we wanted Information and Communication Technology to be involved in the decision-making process. We wanted to ensure that the distinction was made between tasks that should be handled by bots and those that should be treated as interfaces or programs, aligning with our understanding of process automation.

We have a team of three people in Spain who are in charge of the daily operation of the Automation Anywhere platform. However, deploying our new bot is a quick process. There is a test environment where the bot is validated, after which it is transferred to the production control room and the bot's schedule is updated.

The team responsible for the data operations of the platform, taking everything into account, including the intrusion of the new bot into the production environment. They also handle the platform's maintenance. I believe we have three individuals dedicated to these tasks.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Nilesh Pundkar - PeerSpot reviewer
IVR Developer at Orange
Reseller
Top 5
Significantly enhances our organization's efficiency, workflow, and connectivity
Pros and Cons
  • "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."
  • "While it is easy to develop automation, deploying and running them requires some technical knowledge."

What is our primary use case?

I use it for various IT operations.

How has it helped my organization?

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.

What needs improvement?

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.

For how long have I used the solution?

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

What do I think about the stability of the solution?

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

What do I think about the scalability of the solution?

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.

How are customer service and support?

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

How would you rate customer service and support?

Positive

How was the initial setup?

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.

What's my experience with pricing, setup cost, and licensing?

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.

What other advice do I have?

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.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer:
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PeerSpot user
Marianna Pinto - PeerSpot reviewer
Program Manager RPA Automation at a energy/utilities company with 1,001-5,000 employees
Video Review
Real User
Easy to implement and integrate with workflows, APIs, and applications
Pros and Cons
  • "They can build an end-to-end solution with Automation Anywhere."
  • "Automation Anywhere is headed in the right direction but they still have a good way to go."

What is our primary use case?

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.

How has it helped my organization?

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.

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

I have been using Automation Anywhere for one year.

How are customer service and support?

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.

How would you rate customer service and support?

Positive

What other advice do I have?

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.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
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PeerSpot user
Vjaindra Sonawwane. - PeerSpot reviewer
AGM- IT ( IT Projects Delivery & Innovation) at TFS
Real User
Performs efficiently and helps reduce workload, but is complex to learn
Pros and Cons
  • "Automation Anywhere performs efficiently."
  • "The GUI needs to be improved."

What is our primary use case?

We use Automation Anywhere for process automation.

How has it helped my organization?

Automation Anywhere has enabled us to eliminate manual, time-consuming tasks, and increase accuracy within our organization by automating them.

We witnessed the benefits of Automation Anywhere within six months of its deployment.

Automation Anywhere helped reduce the workload of our P2P billings by around 60 percent.

Automation Anywhere helped our organization increase its automation consumption by 25 percent on our billing automation once we resolved all the background issues.

What is most valuable?

Automation Anywhere performs efficiently.

What needs improvement?

Automation Anywhere is difficult to use and could be made more user-friendly. The GUI needs to be improved.

Using Automation Anywhere can be extremely difficult for individuals who lack technical skills.

The learning curve for Automation Anywhere is challenging. We should not need to rely on a vendor to handle the solution. The end-user should be able to use the solution independently.

The automation at scale has room for improvement.

There are many features missing from Automation Anywhere, including cloud collaboration tools provided by Google and Microsoft, that I would like to see integrated into the solution.

For how long have I used the solution?

I have been using Automation Anywhere for three years.

What do I think about the stability of the solution?

Automation Anywhere is stable. I rate the stability an eight out of ten.

What do I think about the scalability of the solution?

Scalability involves both the customer and the vendor, requiring significant effort to increase due to its lack of user-friendliness.

How are customer service and support?

We experience difficulties in getting our issues resolved when dealing with technical support.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I used Microsoft Power Automate, which was not a great application at the time. However, it has now become easier to use, more cost-effective, and more scalable compared to Automation Anywhere. As a result, we are considering switching back to it.

How was the initial setup?

The initial setup was complex. The vendor was unfamiliar with the process, and there was no guidance from Automation Anywhere regarding the requirements. According to Automation Anywhere, we were supposed to simply follow the onscreen instructions and click "next," which should have taken a maximum of one hour. However, due to an error and misunderstanding, it took us around three days instead.

The deployment started at the control room, then the client, and finally the developer.

One person, who was an Automation Anywhere specialist with infrastructure knowledge, was used for the deployment.

What about the implementation team?

We used a vendor for the implementation.

What was our ROI?

To realize a return on investment, we must utilize Automation Anywhere for several years.

What's my experience with pricing, setup cost, and licensing?

Automation Anywhere is significantly expensive. The cost is at the highest end of the spectrum.

In addition to the licensing cost, let's say, $1,000, we also have to pay the OEM vendor fee, which can be around $150. Furthermore, we are responsible for the payment of managed services, and occasionally there are additional charges for maintenance.

Which other solutions did I evaluate?

We considered several options, including Blue Prism, before choosing Automation Anywhere.

What other advice do I have?

I give Automation Anywhere a six out of ten.

When I joined my organization, we were using Automation Anywhere. Consequently, I am currently using it. However, all the features are also accessible through Microsoft Power Automate, which offers a free upgrade.

We attempted to train non-technical staff members for one month to utilize Automation Anywhere; however, learning proved to be quite challenging. As a result, we ultimately abandoned the endeavor and opted to hire a technical professional.

Automation Anywhere requires technical personnel who can write code to utilize the solution, making it challenging to integrate RPA bots, APIs, business applications, and documents. We are compelled to hire a vendor to write the code, which is not a practical approach.

I would recommend Microsoft Power Automate over Automation Anywhere because Automation Anywhere is excessively complex and challenging to use.

We have three users across three teams who utilize Automation Anywhere in our organization.

Automation Anywhere is self-maintained unless there is an error.

I advise exploring other options before settling for Automation Anywhere.

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
RPA Process Mining Coordinator at a wholesaler/distributor with 10,001+ employees
Real User
Top 10
Improves productivity but there should be better support for dependencies
Pros and Cons
  • "The RPA automation itself is valuable."
  • "It could be improved in terms of the global analysis of all the issues caused by the dependency components. For example, if bots are running on virtual machines on Microsoft Windows 2019, sometimes an issue might come from the virtual machine. Automation Anywhere should work closely with Microsoft or any other editor with which there are some issues occurring and stopping the bots from running properly."

What is our primary use case?

We use it for P2P, AP, O2C, AR, inventory management, finance and general ledger, and HR.

Moving forward, we see opportunities to operationalize AI within our organization for loss cash discounts, payment term mismatch, credit blocks for vendors, duplicate invoices, accounting entries, and invoicing in SAP.

How has it helped my organization?

By implementing Automation Anywhere, we wanted to achieve productivity and decrease the complexity of the processes. The key issue has been the complexity. RPA is not meant for complex processes. When a process becomes complex, we face a lot of errors. That creates slowness of processing, some interactions at critical moments, and frustration in the business because the job is not done. As an alternative, we have to work manually.

We built many complex bots, and that was not the best strategy. It is better to simplify and then automate, and not automate to avoid simplification. When you take this wrong approach, you have to deal with many technical issues, and you are not able to leverage and benefit from the other tools as part of the automation itself. In the business roadmap of an RPA project, there should be some reporting or dashboards of bots' portfolio so that you can see the percentage of successful processing, the rate of failures per bot, and the rate of exceptions. There should also be something to measure the return on investment to be able to say that this bot is meeting expectations and productivity. It was worth it to invest in this bot, and it costs less than manual work. If the bot is always facing issues, it will be better to come back to manual processing. We should not move from manual to automation without thinking about simplification. We need to simplify first and then automate.

We have a centralized infrastructure, but we have a decentralized business strategy. We gained 60% productivity, which is at a high level.

Automation Anywhere is easy to use for business users who do not have tech skills, but first, they need to be able to play the role of business analyst. You should not have many points of contact. You should have a single point of contact, which we call SPOC, and this person should be a business analyst. This single point of contact should collect all the requirements and needs and be able to communicate them in a structured way in order to enable the solution team to tackle the points. It is easy if the person who is supposed to do it follows the learning of the business analyst and is able to speak English. We have English speakers because we are in a multinational group. They should also have a minimum level of experience in IT or in general business. If the training is intensive, it takes three months to train non-technical employees on Automation Anywhere usage.

What is most valuable?

The RPA automation itself is valuable. We are not using the other components that are part of the platform much because we want to first stabilize the platform, the environment, and the infra.

What needs improvement?

It could be improved in terms of the global analysis of all the issues caused by the dependency components. For example, if bots are running on virtual machines on Microsoft Windows 2019, sometimes an issue might come from the virtual machine. Automation Anywhere should work closely with Microsoft or any other editor with which there are some issues occurring and stopping the bots from running properly. They need to collaborate together to enhance and improve the platform and the dependencies. It should not be that because the problem comes from Microsoft, Automation Anywhere does not tackle the issue. They should tackle the issue even when they are not responsible 100%. Microsoft or any other editor should work with Automation Anywhere.

I would like them to include process mining.

For how long have I used the solution?

I have been using Automation Anywhere for three years, and I have been using UiPath for two years.

What do I think about the stability of the solution?

I would rate it a five out of ten in terms of stability because of the issue of dependency components, such as Microsoft components.

What do I think about the scalability of the solution?

I would rate it a seven out of ten in terms of scalability.

How are customer service and support?

Their support can be improved in terms of understanding the issue more deeply and involving enough resources based on the criticality or urgency of the issue. They should involve the right resources and the right number of resources. If we need an architect, they should bring us an architect. If we need an engineer, we should have an engineer in front of us. They should provide the right person at the right time.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I have worked with UiPath. The move to Automation Anywhere was not my choice. It was a group choice.

How was the initial setup?

We have a hybrid cloud. The implementation is easy if you are business-oriented, you first tackle simple use cases, and you involve all the teams. The complexity is always there, but to have less complexity, it is important to ensure these three elements. 

What about the implementation team?

We include people from development, monitoring, management of development and monitoring, central IT management, and central business management.

In terms of upgrades, it is difficult to upgrade Automation Anywhere. The upgrades of Automation Anywhere are sometimes not adapted to the clients. They sometimes choose to upgrade the platform during a critical period, such as accounting month-end closing. It is definitely not the right moment to launch the upgrade. Automation Anywhere sometimes pushes general upgrades during critical periods. The best will be to take into account the constraints of the clients in order to not make it difficult for them.

In terms of maintenance, if the bots are running 24 hours a day, you need three people or at least two people for monitoring. The upgrade of bots requires one developer.

What was our ROI?

You get a return on investment only after 18 months. You can get 50% savings.

What's my experience with pricing, setup cost, and licensing?

It depends. For example, for my group, we are centralizing the infrastructure in Paris. Our contract is signed with Automation Anywhere in France. The currency and the pricing of Automation Anywhere in France can appear beneficial and interesting for Germany and Scandinavian countries, but when we share our infra and are internally charging other countries such as Poland, Brazil, or some other country with a lower currency value as compared to Euro, it becomes less beneficial. They would prefer to sign the contract directly with Automation Anywhere because they will benefit from a price that is as per their local market.

The price works well for France, but it becomes a bit complex when you centralize it for all the countries or groups. In the international context, you have to propose something a little bit tailored for some countries, such as Romania or Brazil.

What other advice do I have?

When it comes to automation and AI, I always think about being business-oriented. Always start with the needs of the business and do not automate just for automation. You have to think about relevant use cases and also scalable use cases. In a multinational group, it is important to not think individually. This way you can collaborate more and reuse more things. You can reuse the components that have already been built. It is also economical.

Each center of automation should have a governance plan. The governance plan should be very precise, and it should expand the roles. Each stakeholder should know what to do, when to do it, and how to do it at each cycle or phase. After that, you should come to the functional and technical aspects. Without a governance plan, nothing is possible.

Overall, I would rate Automation Anywhere a seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Buyer's Guide
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Updated: April 2024
Buyer's Guide
Download our free Automation Anywhere (AA) Report and get advice and tips from experienced pros sharing their opinions.