Automation Anywhere (AA) Reviews

Specifically, we use the solution for SAP where we have particular SAP processes that need automation. 

There were multiple processes where implementing a bot allowed us to automate processes and allow it to perform backend tasks. For example, employee onboarding, or creating orders. 

We were able to remove manual tasks and we were able to justify the processes based on the ROI witnessed. 

We see opportunities to operationalize AI. We aren't using it yet, however, in the future, we are looking to it. At this time, we do not have any AI use cases. 

Being able to connect with third-party tools is the best feature.

All RPA tools we are using have the same benefits in terms of automation.

The learning curve is okay. Practicing it is the key thing. Doing it over and over will help a person get comfortable. We do not have a lab environment where we can use and test it. That makes it difficult for users. They need to spend time with it, to play with it, to have a hands-on approach.

It took me two weeks to learn how to do an implementation. Going from the lowest knowledge levels to more of an expert takes a month or two. 

We have a few different tools and operating systems. It works well with other application data or operational items. 

With respect to your use case, it's easy to use and easy to implement. However, sometimes if there are complex requirements, the automation of processes gets a bit more difficult. 

If you come across any process, it can be automated via Automation Anywhere. However, companies need to better justify the ROI before usage - otherwise, they might spend money on things unnecessarily. 

I've been using the solution for around three years. 

It's a stable product. 

The solution can provide automation at scale. 

Technical support is quite responsive. Very rarely do I need to connect with the team, however, if I need to reach out, they are very good in terms of their response. 

Positive

I also use UiPath and SAP IRP. We work with different tools according to requirements. 

The initial setup is easy. It has its own orchestration and you just need to deploy it.

Any maintenance would fall under your organization's contract. 

We have saved us both money and time. 

The pricing is reasonable. The money you spend will be worth it. 

We are an Automation Anywhere customer. 

I would recommend the solution to others, so long as they have some previous knowledge before setting out. 

I'd rate the solution nine out of ten. 

Our customers have a large variety of use cases. It varies from financial processes, R&D processes, IT processes, services, and service desks. Most customers implement the solution for business processes. From a vertical perspective, we have pharmaceuticals, transportation, logistics, the public, defense, and banking sectors.

Some of our customers see growth in sales. Some see streamlining of the processes or removing errors from the process or rework. For others, the tool provides better usage or upscaling for the employees. All the customers can see benefits from the product. We do not implement any platform without a clear ROI to the customers, especially for the customers in Israel who are very ROI-oriented.

The product’s ability to have everything in one place is valuable. It's a web-based application so, our customers do not have any overhead from the maintenance perspective. 

The solution is very easy to implement. Developing something on it is very easy because we don't need to work on different screens, applications, and clients. It's the most user-friendly and developer-friendly RPA application in the market. It’s very, very easy to understand.

The product is not really intended to integrate with web applications. However, almost all enterprises use web applications, low-code applications, or advanced applications that use webhooks to trigger events. The product falls behind in working with webhooks.

Automation Anywhere has invested in the service desk, however, the first tier of the service desk, especially chat, is not really helpful but the second tier is very knowledgeable and professional. The product can do better in the service desk area. The tool must also add some of the more innovative features. 

I have been using the solution for the last six years.

The application is pretty stable. The on-premises system’s application doesn’t crash. It is stable as long as the infrastructure is stable.

On the SaaS version, we do not have any scalability issues. It’s 100% perfect. Since 2019, I haven't experienced downtime with the cloud systems.

The technical support depends on the tier. The first-tier support by chat is low quality. The whole process can take a long time for the customer. 

Neutral

The initial deployment took us less than one hour. If everything is prepared, all infrastructures are in place, and all the relevant people, definitions, and Active Directory are available, it can be deployed in less than one hour.

Automation Anywhere’s implementation is a click-through process. Mostly, it's a decision process within the system. There is a built-in bot distribution system if we need to scale up. We define the servers, and the system fires out the add-ons to the servers. Since it's a web-based system, we don't need to install almost anything. Just install the control rooms, and then everything else is done through the browsers.

The defense sector customers prefer to deploy the product on-premises. Half of our customers are on the cloud, and half are on-premises. The customers do not care what cloud provider we use since it’s a SaaS application. It is very transparent for the customer.

Usually, we need three people to deploy the solution. We need one person from our side and two from the customer’s side, including a system administrator and a DBA. The tool requires maintenance once it's on-premise and there is no connection to the cloud. However, if there is a connection to the cloud and the servers are intact, we don't need to maintain anything.

The pricing model can be a bit more flexible. It mostly has the option for bundles. There is almost no possibility of adding single licenses to the bundle. I rate the pricing a five on a scale of one to ten, where one is cheap, and ten is very expensive.

Our customers are aware of automation. Most of the processes are implemented in the areas where regular business automation with integration will not apply. Where people are currently applying manual work, our customers would like to automate those processes fully, but there is no possibility of any integration. Our customers also use the product in service areas where they need someone to work in two teams, like integration and screen scraping.

Once business users who don’t have tech skills understand how to use the solution, it's relatively easy for them. It's easier than using an iPad. However, the tool is not filtered to enable the business user to see what they need to see. We need to educate and train the users to use it. On the flip side, this ability is not present in other applications or is more difficult for business users to understand. Automation Anywhere is an easy application to learn.

The time taken to train non-technical employees on Automation Anywhere depends on which level we train them. They would need one week of training to implement basic processes based on desktop applications or Excel files.

Some of our customers use Automation Co-Pilot at the service desk. Automation Co-Pilot is only on the front with the business user. In the back, the core product runs on the business applications. It's the same integration and the same screen scraping. It's like an extension of the capabilities and translation of the graphic interface to the business user. If someone clicks on the screen, both aspects run on the back end of the different applications.

Automation Co-Pilot increases productivity because everything done in 50 clicks before is done in one click now. Processes where a user must follow the instructions and run through the processes, including the decision metrics and decision junctions, Co-Pilot provides all the best practices within it. No one needs to open any applications and learn the processes. All the decisions are made on the application. It's a tremendous improvement in the time spent and efficiency achieved.

Automation Co-Pilot freed up some time for staff from a business perspective, but mostly, it improved the response time to the customers. Whatever someone needs to do on ten screens in five to ten minutes, it's done in one click in a few seconds.

Automation Anywhere’s ability to provide automation at scale is pretty good. It depends on the scale and how large the company is. It's very easy to see in an enterprise. The top three RPA platforms are not intended for SMB users. It's mostly for enterprise companies or at least for the companies with large operations, not necessarily from the headcount perspective but from the operation perspective. In such companies, it's very, very successful.

Automation Anywhere works well with API, but it lacks API management capabilities. Automation Anywhere could be better in integration. Integration between core Automation Anywhere applications with other core business applications can be better.

Automation Anywhere has helped all our customers to increase their automation consumption. Our largest customer in the pharmaceutical area had an exponential increase in their automation consumption, and they are still growing. We started in 2020. Now, they have hundreds of processes. Smaller companies are increasing on the center of excellence side. We implement at least 10 to 20 processes every year if companies have a small center of excellence. Some customers implement 40 to 50 processes a year. It's scaling up really quickly.

My advice to someone who wants to use API integration instead of robot process automation depends on the use case. There is an automation paradigm, and we need to know what to automate and how to automate it. Some processes are not intended to be automated with RPA. Some processes are intended to be automated only with RPA. So if a company doesn't have any API management tool, then automating with API can be very challenging because they can do it right but not manage it. Then, they would have a spaghetti of API connections that they cannot maintain or manage. However, if a company has an API management tool, API capabilities, and applications, it's probably better to automate using APIs and not screen scraping.

If a company with limited IT capabilities is keen to implement business processes that require RPA, I would suggest they configure Automation Anywhere because it's very easy to implement. It is user-friendly and developer-friendly. It is pretty business-user-friendly. It is very, very easy to maintain. It's a great application to implement.

Overall, I rate the product an eight out of ten.

Initially, when we started, we were using it for back-office automation. The solution has definitely evolved. We're focusing on implementing customer and experience-facing use cases. Time is the most valuable piece, and that's how we measure the success of automation now. 

The solution is helping our customers save time. 

We were trying to solve a few different challenges with Automation Anywhere. For example, during the pandemic, gaining bandwidth was huge. Hiring while shifting to remote was challenging. There was such an accelerated use of the technology during the pandemic. Having to integrate with existing and older systems was key. That flexibility to work with other applications and other aspects of the platform really drove our decision to adopt more and more of the solution.

We've noticed time savings. The time saving varies. We look at how much value the customer gets. We've noticed time savings of up to 40 minutes, based on wait time and verification delays. Sometimes, we might only be saving a minute or slightly less. However, this is a slightly higher volume scenario where something needs to get done by the end of the day. It offers a broad range of time savings. For example, if someone calls in for the healthcare side to get benefits verified. Typically, that would take 45 minutes in terms of gathering information and validating information and prep work both before and after. Now, we can do that autonomously in a matter of minutes. 

Within the processes of automation, robots learn differently than humans. They are very interactive and literal. Diving into that tribal knowledge that makes an organization unique was really what we had to do differently. For example, if you tell someone, "Go check your email," they know what that means. With a robot, you have to translate that action into a specific language, and that was the challenging part from the process side.

Copilot is great at bringing agents and humans into the loop. Creating that AI assistant that can almost tell someone the next step, that suggested intelligence, is helpful. Getting the data an organization has over to a customer very quickly is effective with Copilot. Simple queries that may take 15-20 seconds to answer, you still have to, for example, to find the number, make the call, et cetera, and suddenly that 20 seconds if two minutes longer. Having that information ready in a conversational way is where generative AI can really help compress time. 

There's a lot of human involvement in the workflow. Automation Anywhere does a fabulous job of integrating users into the workflow. That's important. You wouldn't be able to automate with just the technology. Teaching users to interact in a relatable way with relatable interfaces has had a big impact on the business users' side.

Understanding the technology is very easy based on the way it is positioned. There are a lot of great resources out there. 

How much time it takes to get comfortable using the automation process varies. You need to gain the knowledge of understanding ways to do things, then have the practical knowledge of how to apply; then, there's a third piece of constantly improving, monitoring, mentoring, and iterating. That piece is ongoing. 

Copilot is helpful for pure-play back-office stuff. From the call center side, it's integrated and becomes available as an option as well. Any document processing is great for Copilot. 

With the new enhancements, it's very easy to integrate. It integrates well with infrastructure solutions and testing products, as well as data and analytics.

The integration with workflows has only been enhanced over time. 

In terms of document processes, there is some uncertainty between structured and unstructured. However, the intelligence applied cut down time by 50% or more. That's in time to do the work, not necessarily accuracy.

In terms of APIs and applications, when automation first came out, they shunned APIs. That was a challenge due to the fact that, when you sold it to an organization, they asked why it would be done a certain way when they already had an API. Now, it's making it easier to use solutions. You can bring in your tool kit and create synergy.

Copilot has helped us increase productivity. It's a new feature, so it's hard to quantify. I do see the established value increasing exponentially. 

The product has helped us free up staff time. The biggest thing we measure is experience. If it's moving towards higher-value projects, it's great. However, so is going home and not taking work home with you.

If we look at the concept of bringing automation to a broader user group in an organization, the focus right now is on how to build it properly. We're building it out with instruction manuals and working to make it more user-friendly. We need to do a lot of work from the perspective of education. The messaging is essential. Also, figuring out the platform so that users know where they need to interact. We're pointing users towards that and giving them the help to do that. The messaging and education around how to leverage the platform need to be more precise. Understanding what the benefits are going to be needs to be very clear. 

When you are implementing it initially, it's challenging as there's a lot of change management. That's where the lessons need to be learned. That curve is hard to overcome.

There are more challenging integrations that should be left to more expert users. 

We've been using the solution since 2015. It's been about eight years now.

Technical support is good. You don't have to reach out to them very often. The new layers are great. The services you get alongside the solution are helpful, and combining that with bug fixes, et cetera, makes it fit for purpose for all uses. 

Positive

I'm familiar with other options. The difference is the people side of things. The team outside of the technology, the people putting it together, is what makes the solution itself better. 

It's important that Automation Anywhere is easy to use. There's an intimidation factor when you present people with a massive ecosystem. It's practical and fit for purpose from the outset, yet very flexible and versatile. 

I was involved in the initial setup. 

If you start out pretty simple, the challenges that cause delays are more from change management and security and clearance. That's outside of the platform itself. That takes 80% of the time.

You can stand it up in a couple of days, however, it can sometimes take a month for reasons outside of the platform.

You can get things going within a week, which you can iterate on pretty quickly. 

Maintenance depends on usage. There are tools where you can build automation to provide alerts. You need someone who's at least slightly dedicated to that. Once you get bigger, you'll need a dedicated team, and then you have to figure out how to prioritize your time, in terms of evangelizing it, making more automation, et cetera. 

The pricing is okay. We've established the value of bringing it into our organization. For scaling, you can't beat the price of adding a robot that provides basically unlimited scale. 

Our strategy when it comes to automation and AI (and generative AI) right now, as with any technology, there's a lot of buzz. Historically, we've had periods of punctuated innovation, like automation in general, that was a real change in how organizations did business. Right now, we're seeing an iteration of that with generative AI. We have the foundation down with these platforms. Our strategy is the same: understand the technology from the people's side. We're the ones using the technology. You can't blame a piece of technology - it's still on us. We need to establish it. At the end of the day, we need to own it. Technology isn't a silver bullet. However, if we approach it right, we'll have all the success in the world.

I'd rate the solution nine out of ten. 

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. 

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.

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.

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.

I have been using Automation Anywhere for almost six years.

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

Automation Anywhere is scalable.

The technical support was helpful and responsive.

Positive

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.

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.

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

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. 

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.