Automation Anywhere Reviews

We have several use cases for Automation Anywhere. We have several processes developed for HR, finance, and our automotive business, so we found use cases for everyone. Finance would be the major focus right now. We have this GPS center where we are trying to build many automations because we are dealing with cash allocations and processing invoices.

The main challenge I was looking to solve with a GenAI process automation was finding the GenAI solutions that were presented, and it has a combination that allows integration with the GenAI process automation with test bots. I found it very useful to have a centralized place where everyone can go. Instead of opening multiple applications, we have someone just opening a single app, making the prompt, and all the work starts to be done there. We have many opportunities, especially in accounts payable.

Currently, we are using Document Automation with Automation Anywhere. We are still not using AARI, which is something we are working on. I just started using it, but we are already using Doc Automation. We have processes using GenAI to extract information from unstructured documents. We have been having huge results in a short amount of time, which is incredible. Document Automation has had a significant impact on efficiency and productivity for us. The project I was mentioning was completed in two weeks. Our DSO was being impacted because of the backlog. In a short amount of time, we were able to reduce it by 38%, which was incredible.

What I appreciate most about Automation Anywhere is the cloud version. It was a huge change and it's very friendly, very easy to use, even for citizen developers. We have a group of citizen developers and I find it very easy to teach and use. These features are actually now in the front of the line and releasing these features. Last year when AARI was announced for the first time, and now, what we are seeing, putting everything together, seeing everything together, it's a huge change.

Automation Anywhere has helped us deal with these challenges. In Doc Automation, we have this project where we had a huge backlog. As we were closing our fiscal year, we had this huge backlog that we needed to clean up. The business was preparing to hire 12 people to do that, and even though they were not sure they could handle it, we built the process to extract and do the entire process just in two weeks. We were able with a single person to clean the entire backlog, which gave us huge benefits.

In the age of GenAI, the biggest challenges for my company include changing the entire mindset. Users need to trust the solution and what is being asked of us is that we need to be able to show the value it is bringing. It's not just a matter of trusting the technology, we need to be able to show exactly what we are going to achieve by using this technology. 

For that, we need to have a proper framework that tracks all the benefits we are extracting from automations and shows them that this will actually take us to the next level. We are working with Automation Anywhere's value engineering team, and they are helping us build this framework, so we can show our leadership that this is the right move for starting to adopt this technology.

Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents. This all deals with information we are receiving and acting upon. The next step would be more predictive, having predictive analysis and being more proactive in the way we are taking our actions. Instead of having an agent trying to look at where the best price is when I receive a request to buy something, we could have an agent that could use historical information to predict the best time to buy that product. In that way, we could have some predictability and start anticipating the right time to take actions for profit and lower cost reduction.

I've been using the solution since 2019.

We were using another solution before choosing Automation Anywhere. It was not actually an RPA per se; it was more a ticketing tool that allowed building some automations. The company had previously tried UiPath but found some issues in managing and supporting the tool. They chose Automation Anywhere, which was a perfect fit in the environment we were building internally. For citizen developers, the learning curve is much faster compared to other tools.

We could have a better integration. We have our development environment, and then we need to export that and then import it to the client. So this is a manual process. We would like to have a more automated process, integrated process, where we could have a pipeline where we could, from the production environment, push the version that we want to deploy to production. 

In terms of version control, there are some improvements that can be done there. It would be nice to have more actions and more tools that allow us to have a better release control and showing all the features that were launched on it. 

Having AI right now, it would be nice if we could also automate part of the documentation process. That's something that is possible. Nowadays, we can send a quote to AI and just ask it to explain this or build me a document explaining this code. There is some work that can be done there that can improve the deployment that we are doing through production to ensure that we have everything documented, and have all the version control in place. 

Regarding pricing, setup costs, and licensing, we don't have the license for the enterprise that allows us to build the agents. This is something we need to work on. The first version would double our cost. 

We need to work with our business, which is why I'm working with the value engineering team. To get that type of cost approved, we need to be able to show all the benefits we are seeing from our automation. Automation Anywhere could try to come up with a better solution for having this framework that's easy to implement and maybe integrate into their own products so we can easily extract all the values from the automations. We need to be able to show data at four different levels because every level of leadership wants to see the data differently as they have different goals.

Regarding API, we are not using it currently with Automation Anywhere as we don't have a license yet, so it's still a work in progress. We found many opportunities and just need to work with the business, build a POC, and then work on having access to it.

AI governance is very important in our company. We need to take care about securing our own information as we are a private company, so there are many aspects we need to address. We have an AI council in our company that ensures we are using the proper tools and have contracts signed to ensure data privacy and security.

We received a presentation of the COE Manager. We found it was not filling all the gaps we were looking for, so we are not using it currently. We have another solution. We have been using the information we are extracting from our automations and bot metrics. We are extracting that into a simple database and crossing it with control room APIs to get information about our executions. We built this lake house with a model that automatically extracts this information and builds our Power BI reports.

I'd rate the solution eight out of ten.

We are using it for backend office processes for FinanceOps.

By implementing this solution, we mainly focused on automating manual tasks such as invoice processing, reconciliations, and data entry, which are very rule-based. The automation worked effectively.

The core RPA capability is valuable. We have completed many automations. Removing manual tasks has been beneficial. It works effectively. We are still trying to determine how things will change after the GenAI introduction. It saves time and costs.

They should improve process discovery features.

They advertise that they do UI automation and things will be stable. However, when we performed user interface automation, things were not very stable. They need to make API integration much simpler with the target application so that automations are more scalable and stable.

I have been using Automation Anywhere for nine years.

Stability depends on multiple factors including developer expertise. Some automations have been very stable while others were not, possibly due to developer implementation or target application issues. The platform is not very smart to perform self-maintenance.

Scalability is good. If you create a good solution, you can scale effectively. However, scalability is very dependent on the developer's skill, not just the platform's capabilities.

In the earlier version, when we reached out with problems, they would often respond that features were not yet implemented or acknowledge known bugs that would be revised in the next upgrade. We hope this has changed in the Cloud version.

Neutral

It was already deployed when I joined the company. 

The upgrade was extremely challenging. Moving from version 11 to Cloud took considerable time. The migration from V10 to V11 was difficult, and V11 to Cloud was even more challenging. We hope the Cloud version will make future transitions easier since it's not on-premises.

With the cloud platform, we don’t require much maintenance. However, the bots we create do need significant maintenance. The time required for maintenance varies. Some automations are very stable, while others may not be due to issues with the developer’s execution or the quality of the target application. It's not Automation Anywhere's fault, but the platform itself isn't very adept at performing self-maintenance.

There was no return on investment in the last year. The year before that showed a significant return on investment, primarily because we automated many manual processes. Once the low-hanging fruits were completed, finding a return on investment became more difficult.

The solution is costly and the licensing is very confusing.

Earlier, the pricing structure was much simpler. A developer license cost a specific amount, and a runtime license had a separate price. Now, there are only two main figures to consider, in addition to distinct costs for cloud platform maintenance and other services. However, with the introduction of tools like Co-Pilot, things have become more complicated. If you use Co-Pilot, there’s an additional cost associated with it. Moreover, if you utilize AI features within Co-Pilot, there are AI token costs that differ from the standard licensing fees. Therefore, when you're creating a use case that involves Co-Pilot, a runtime license, and GenAI, it can get quite confusing.

The platform is moderately complex - not very complex but not super easy. Building scalable solutions requires significant time investment. The platform is not very user-friendly for people without technical experience. We don't encourage business users to develop anything on Automation Anywhere. 

I appreciate the core RPA capability, but the additional platforms they are adding currently are not mature enough. 

I would rate Automation Anywhere a seven out of ten.

Our use cases for Automation Anywhere are numerous; we have KYC use cases, onboarding in some parts, credit analyzing, and in operations, we have some automated processes.

It helped with company culture. Sometimes, people are afraid the technology will replace them. However, it makes their job easier. It doesn't replace them. 

What I appreciate the most about Automation Anywhere is the analyzer. The analyzer acts as a hub; this robot analyses and then assigns different persons to perform deeper analysis of every customer. 

Automation Anywhere improves my company by providing about $5,000 USD per year in benefits. Automation Anywhere contributes to helping me achieve my goals by improving customer experience and accelerating the process of delivering audits and related processes.

In the age of agentic AI, the biggest challenges for my company are the need for a significant cultural change and managing information security. Automation Anywhere helps me overcome those challenges in part since it empowers people to focus on value-added activities instead of repetitive tasks that hold no value. I hope that Automation Anywhere continues to help me achieve my automation goals.

My impression of the impact on visibility in the automation lifecycle is that we help to standardize the process and become more productive in those activities and visibility. The cloud-based nature of Automation Anywhere COE Manager in managing my automation pipeline is beneficial. Using the cloud accelerates upgrades and allows us to benefit from AI with different partners OpenAI or Copilot.

With APA, the customer experience is improving. We can also accelerate the delivery of certain processes. 

We are presenting a business case related to document automation in our current process. Document automation impacts both efficiency and productivity. Document automation impacts my company because the credit analysis requires reviewing every digital document from customers, and with this implementation, we aim to be faster instead of reviewing each document individually. I have not measured the time saved by using document automation in document processing.

Automation Anywhere can be improved by reducing the time of the processes and enhancing the efficiency of people. I would prefer them to reduce the time of the process.

I have been using Automation Anywhere for six years.

I have not used another similar solution before Automation Anywhere.

My experience with the deployment of the solution is positive; it's fast, and we have not encountered any problems related to that.

Automation Anywhere improves my company by providing about $5,000 USD per year in benefits.

The pricing is good; the business case we are working on shows that it is a good price.

At the beginning, about six years ago, I reviewed UiPath, Blue Prism, and those three competed for the RFP that we did, with Automation Anywhere being the winner. Automation Anywhere was chosen because of its simplicity, the interface, the platform, the customer reviews we showed, and the price as well.

I am not currently utilizing the AI Agent Studio in my automation process. My impression of AI governance in general is positive; I really appreciate the monitoring that we have and believe it represents good governance, and the insights we can gain from the platform are great. I do not use the autopilot capability of Automation Anywhere currently. I utilize the Automation Anywhere Center of Excellence, or COE.

We are currently on-premises with Automation Anywhere. 

While there is always some space to improve and nobody's perfect, I would rate Automation Anywhere a nine out of ten overall.

The use cases are majorly insurance-related or finance-related. I work for a finance-based company, and the use cases are primarily money movement use cases involving financial and insurance-related operations.

Since business users are only running the automations, it is not very difficult for them. For a few users, I had to explain how to get inside the machine and how to trigger the automation in the case of attended execution, where they were running the automations by themselves. Apart from that, there were no major things that needed to be handled by the end-users, so those were pretty easy for them.

In the user's case, as they do not have many things in their hands, I would say the learning curve is pretty flat. They were only running the automation and did not learn anything apart from just triggering the bot. There was not much to learn in the user's case.

In most of the use cases, both time and cost are being saved. That is the reason they are using these automations.

Considering the current era where people are moving towards APM and Agentic automation, I see other rival tools are launching more and more products. If you talk about UiPath, they have Test Suite or UiPath has lots of AI-related models. I would say considering the current scenario, there is scope to improve for Automation Anywhere.

When it comes to integration with AI models, I have been on a maternity break, so I am not currently very much in touch with the models of UiPath or Automation Anywhere. What I have been seeing on LinkedIn or listening to people say is that UiPath has more of the AI or APM-related tools with more integration and inbuilt integration with AI, whereas Automation Anywhere has just started launching this. There is room for improvement in this area.

I would rate the room for improvement as eight. The only scope of improvement I see right now is when it comes to APM or integration with AI. Apart from that, it has been the best for me so far, and it is easy to learn and pretty self-explanatory.

I have been working with Automation Anywhere for almost eight plus years now, since 2017.

We did face some issues last year when there was an upgrade in Automation Anywhere control room, and at that time our web application automations were failing. We had to downgrade the version to the previous version. That was the only issue I faced when it comes to stability. Apart from that, I have not seen any major issues. There were a few during migration, but overall, it is pretty stable.

The problem was fixed when we reported the issue to Automation Anywhere team. They fixed the issue within two or three days. Meanwhile, we had to downgrade our software version, and then it was working. Once the issue was fixed, we upgraded it to the correct patch.

I would say it is pretty good. Since I have been working with Automation Anywhere from version 10x, and now we are at A360, I have seen Automation Anywhere evolving. There were lots of limitations with version 11 before when we had a desktop version. Now we have multiple things integrated. When it comes to SAP, you do not need to use Metabots or external things. You have everything inbuilt. It is pretty scalable. You do not really need to rely on external components. You have everything inbuilt whether you are talking about Salesforce or anything else. I would say it is pretty helpful in building scalable solutions.

I would rate Automation Anywhere customer service ten out of ten because whenever I have reached out to Automation Anywhere, I have always been supported by those people. No matter if the issue was on their side or our side, the support team has been the best so far.

Positive

I started my career with RPA and then Automation Anywhere. Apart from Automation Anywhere, I have worked with other RPA tools as well, such as Power Automate or UiPath. I have also used Python for a few automations. However, it has been majorly Automation Anywhere for me.

The initial setup is pretty straightforward. From Automation Anywhere, I did not really face any issues. Whatever issues there were, those were majorly application-based, such as changing the environment or things of that nature. From Automation Anywhere side, the deployment was pretty easy. From the tool end, I have not really faced any issues. I have worked on the V11 to A360 migration as well. There were no major issues. Whatever issues we face during deployment are mostly from the system perspective, such as environment perspective or system perspective.

The implementation team consisted of more than 100 people.

I am not really sure about the ROI because that is being handled more on the business side. I am more of a developer, and these things are being taken care of mostly by a business analyst or product owners, so we do not really have access to that information. If it comes to time, for one use case, if they were taking 48 hours for 20 transactions, now that is being done in two to three hours by automating that operation. When it comes to ROI, I am not really sure about that since it is being handled at a high level.

In my organization, we are not really using Automation Co-pilot. We are using simple automations for now.

In my system, mostly those are inbuilt tools only and inbuilt applications. If I talk about generic tools, those are Excel, a web application, or Salesforce, and then SAP is there. Mainframe is there as well. Apart from that, whatever tools are company-built or private to the company are being used.

My overall review rating for this product is eight out of ten.

In my company, we're using Automation Anywhere to send statements to customers and then we're also using it to reach out to our vendors if their promised dates go past due, so we can get updated ones and keep that active in our system.

From using Automation Anywhere, my company has seen that with the statements going out, it's helped substantially with getting cash in. Before, we had to manually send emails or make phone calls to customers when their AR went past due. The bot executing every single day really helped with reliability. We saw increased cash flows almost instantly.

What I appreciate the most about Automation Anywhere is that it's reliable. It executes every day and works consistently. We set up a schedule and everything is easy to add to the queue. Reliability is definitely the biggest advantage because we experimented with Power Automate, and it was buggy. It wasn't nearly as reliable as Automation Anywhere.

Automation Anywhere is helping with automation adoption. It's proven to increase our revenue stream.

One aspect I don't appreciate about Automation Anywhere is the way variables are handled. Many things seem to become a string, which makes it hard to code and keep track of items when everything's a string. Different variable types and making the variables more simple to establish and use would be really helpful. That's my main concern regarding how the variables are handled.

To make Automation Anywhere a perfect ten, the variable management could be simpler. Additionally, more direct plugins would be beneficial. We use Business Central. Currently, we're using Great Plains as our ERP, moving to Business Central. I've noticed there aren't any direct plugins for Business Central, as there are for Workday. That would be beneficial to have.

I've been using Automation Anywhere for two years.

I didn't use another solution before choosing Automation Anywhere. We went directly to Automation Anywhere. We experimented with Power Automate, but it was buggy, and we didn't proceed far with that. I jumped into Automation Anywhere almost immediately.

My experience with the deployment of Automation Anywhere was good. I have no complaints there. It was very straightforward.

With the cash flow generated just on the one bot we had operating, it's paid for itself in the first month. It's reasonable for what it provides since hiring someone to do that job would cost more than that in a year. It's cheaper than an employee and more reliable.

My experience with the pricing, setup costs, and licensing of Automation Anywhere is that it's reasonable. We were paying approximately $30,000 for a year license.

I've looked at UiPath as a consideration but didn't explore it extensively. The differences I've noticed between UiPath and Automation Anywhere is that UiPath was a bit less user-friendly from a development standpoint. I didn't examine it too deeply, which might be because it's a more powerful tool. We already had Automation Anywhere at that point. I was just trying to compare what development looks on both sides.

I'm still determining what the main challenge I am looking to solve with an agentic process automation. We have many areas that still need to be covered.

In the age of agentic AI, the biggest challenges for me and my company are adoption and implementation costs. It's expensive for licensing and development. We definitely want to implement these things, however, we need to do it piece by piece. We're trying to address low-hanging fruit to create revenue that will pay for future bots and agentic AI.

I haven't utilized the AI Agent Studio. 

AI governance is important for my company, however, we haven't implemented anything with AI yet. When we get there, it will be of high importance. Still, there's nothing formal currently. 

I don't utilize Automation Anywhere COE or Center of Excellence Manager directly. 

I don't utilize document automation in my current processes, although I'd want to.

I rate Automation Anywhere an 8 out of 10.

Our Automation Anywhere use cases primarily focus on streamlining regular business processes by automating repetitive, time-consuming tasks. While direct FTE (Full-Time Equivalent) savings are not always the primary metric, the true value lies in enabling users to redirect their time toward higher-value, strategic activities.

The use cases are largely centered around the transportation domain, including:

• Warranty tracking and claims

• Logistics operations and coordination

These automations improve efficiency, ensure consistency, and support compliance while freeing up human effort for tasks that require judgment, analysis, or stakeholder interaction.

Automation Anywhere has brought measurable improvements to our organization by automating repetitive and time-consuming tasks across various business functions. The primary benefit has been time savings for employees, enabling them to focus on more meaningful and high-value work rather than manual, routine activities.

While the impact is not always quantified through FTE reduction, the platform has enhanced process efficiency, accuracy, and overall user productivity. Automations have helped reduce errors, improve turnaround times, and ensure consistency in daily operations.

Overall, Automation Anywhere has contributed to building a more efficient and scalable operational environment, aligning with our goals of digital transformation and continuous improvement.

What I appreciate most about Automation Anywhere is the interface, and it is very specific on what to use and where to use it. That is the most interesting part for me to consider. Automation Anywhere has improved my company significantly; earlier we were dependent on the client installed on local machines, but now it is completely web-based, so we don't have to worry about having a dedicated VM. We can connect and access the browser from anywhere. Rather than having a dedicated machine for every developer, we can have a shared machine so that based on shift basis we can use the same machine for multiple persons. That is an interesting feature which was not present in the older versions.

The advanced features such as document automation are helping tremendously, mainly in reading handwritten information and stable information. That has helped us significantly to extract the required data from renewals and some unstructured documents.

The primary challenge we aimed to address using AARI and Automation Anywhere 2019 was automating decision-making based on unstructured, free-text information-traditionally handled by operations teams. While earlier automation efforts managed to streamline parts of the process, manual intervention was still required for reviewing and routing free-text data. With AARI, our objective is to eliminate this dependency and achieve a fully autonomous process without human interruption.

In leveraging AARI and IQ Bot, the most significant challenges for our team lie in understanding the product capabilities and deploying them effectively in real-world scenarios. It’s not solely about training or online learning resources, but about applying the technology pragmatically and successfully within our environment.

At this stage, Automation Anywhere has only partially helped us overcome these challenges, as we are still in the exploratory phase with AARI in the context of document automation. While we’ve seen progress toward our automation goals, the full potential is yet to be realized.

One area where Automation Anywhere has shown promise is in AI governance, which is a critical requirement for us-especially in document automation and AI-powered workflows. The platform’s governance features help us ensure data integrity, traceability, and compliance in how information is processed and stored.

That said, there remains room for improvement, particularly in the clarity around AARI infrastructure requirements. Before fully adopting the solution, we need better insights into what infrastructure is necessary, any additional costs involved, and the level of support required. Understanding whether our existing environment can support AARI or whether additional investments are needed is essential for effective implementation.

I have been using Automation Anywhere for nine years.

We utilize Document Automation in one of our current processes with Automation Anywhere, but if we would to use any advanced features, it is very restrictive to use it in on-prem. We have to enable the cloud. When we say cloud there will be many red tapes, security wise, and it takes considerable time to get approval for anything from security. It would be beneficial if we had all those latest features enabled in the on-prem so we don't have to go through these hurdles. We worked together with Automation Anywhere to get security approval to enable the cloud environment.

I have not measured the time saved by using Document Automation and document processing extensively, but there are savings from the use case standpoint. The real-time saving is in decision-making and removing human dependency. When we achieve that, then I will be able to confirm the true savings.

There are additional things that Automation Anywhere could do to make it a 10; they need to consider the implementation perspective. It's not only about the features and latest tech, it's also about supporting that in the existing infrastructure and what else we need to consider. All those things will help them to stand as a front runner compared to other tools we have in the market. On a scale of 1-10, this solution rates between 8 to 9.

We have use cases for Automation Anywhere in underwriting claims, HR, IT support, and various other areas. It's mixed. 

We completed our first document automation POC this year with Automation Anywhere. We don't really use it extensively yet. The use case we were trying to use it for did not work that effectively, however, that is probably more of a use case identification and selection issue. 

We were trying to apply Automation Anywhere to a catch-all contract-reading program. There were no good requirements, and we simply wondered if it could read the contract. While it could read contracts, we didn't have good planning for what to do with the information once we created it. We didn't have the human loop elements set up for exception handling at that time, which made it challenging.

Automation Anywhere has benefited our company as we've been able to process thousands of transactions daily through various automations that distribute work, classify work, and handle claims, doing preliminary work for the finance team. When an adjuster first sees it, they don't have to access multiple systems to gather information because the automation has already completed that task. It has been really useful for traditional RPA, which remains our forte.

What I appreciate most about Automation Anywhere is how easy it is to use and test, particularly the debug feature. I've been doing considerable development this year. It has been easy to put together looping and if logic. 

Automation Anywhere could be improved by staying more current with Microsoft products through packages. There have been challenges with their email package. For a long time, they didn't have an effective one, and with new Outlook releases changing how Microsoft handles emails, the package hasn't been updated to accommodate these changes. It still uses old, deprecated Microsoft components that have an end date. 

There have also been struggles with other Microsoft suite applications, such as SharePoint. They moved from their old REST to a graph API, and the packages aren't configured to accommodate that out of the box, requiring the use of generic API commands instead of the out-of-box packages.

I have been using Automation Anywhere in the company for six years.

Automation Anywhere helps overcome challenges with decent sales representatives who make calls on a cadence, and we can set up meetings easily. They provided technical architecture consulting for a few hours with some of our leaders.

I didn't use another solution before choosing Automation Anywhere. Currently, we are also using Microsoft Power Automate extensively.

The deployment was fine. We had to get some servers set up to deploy some service accounts created to have the bot runner licenses and set up some users in the control room. It really wasn't that complicated.

For what we have in the traditional RPA space with Automation Anywhere, the pricing is good. The licensing hasn't caused any concerns. I'm not familiar with the pricing of the agentic features as we don't have them yet. For the traditional functionality, it has been feasible.

We considered UiPath six years ago before choosing Automation Anywhere. I didn't personally evaluate UiPath as that was before my involvement. Automation Anywhere is more robust and functions more as a platform for integration, embedding, and orchestration. Power Automate is faster to set up and cheaper for our current uses. It doesn't necessarily work better with Microsoft products than Automation Anywhere does.

The main challenge we were trying to solve when implementing Automation Anywhere was entering the emerging space six years ago. Currently, we're determining our path forward with agent process automation and AI. We have an AI council and are still determining where it fits into that picture.

In the age of agentic AI, our company's biggest challenges include getting buy-in and understanding across the organization. All decision-makers and stakeholders need to understand what's possible, what competitors are doing, and how the industry landscape is changing. There aren't necessarily challenges with the software itself. It requires funding and getting people who make decisions to see the vision.

We don't have the AI Agent Studio feature of Automation Anywhere. AI governance is extremely important in our company and has been somewhat of a blocker. We've been working to form a council and determine how our company will use AI, which remains an ongoing process.

We don't have AARI for autopilot capability and have never utilized Automation Anywhere COE, Center of Excellence. We are deploying Automation Anywhere to the cloud. We aren't using API with Automation Anywhere yet, mostly focusing on RPA, though we're considering API usage.

I would rate Automation Anywhere an eight out of ten overall.

I am trying to solve data challenges with Automation Anywhere. Not all data is good quality. This presents a challenge for automation, which is important.

Automation Anywhere has impacted our efficiency and productivity in a very positive way since we are shutting down a very manual process. 

Automation Anywhere has helped my company with APIs. We are currently in a project to create APIs for our core banking service and other transactional systems, migrating from another integration technology to API. We have measured the time saved by using document automation with Automation Anywhere, and it amounts to about five hours.

We have used the APA. It's helped us achieve some automation. We're working on a project now, which requires us to make APIs, and we're using this for that work.

We use the document automation capabilities. We can optimize about three or four people who previously performed the tasks manually. This is just the beginning of the impact we see, however, it's a significant impact for us. We've saved about 500 hours so far.

I am unsure how Automation Anywhere can be improved.

Integration with other platforms may prove to be very interesting for us and others.

I started using Automation Anywhere last year. We are currently in the setup phase for our solution and need to move to production. It's very recent, as we discovered it at the end of last year.

Before Automation Anywhere, we were testing other solutions including Microsoft and Oracle, and currently we are testing Data Stimulus.

The deployment is ongoing. It's not difficult. You have all of the information you need to implement successfully. 

The pricing, setup costs, and licensing for Automation Anywhere are good. It's more of a challenge for us to get all the value that the platform can provide. It's not very costly; it's a fair price.

The main differences between Automation Anywhere and other tools are in their focus. For example, we need many partners to make good things happen with other tools, but with Automation Anywhere, it works very well.

In the age of agentic AI, the biggest challenges for me and my company come from people not being open to this technology. In financial services and traditional banks, people are very cautious. They need extensive testing and need to see the technology working to understand its advantages. AI governance is very important to me and my company as many areas are inquiring about AI. Without governance, we would be in chaos.

The AI in the studio and the integration from all the AI and other platforms is very interesting, and it's a very good opportunity for us now. 

We do not use the COE just yet.

On a scale of one to ten, I'd rate the solution a nine. I don't know all of the solutions. I only really know Automation Anywhere, and so it's hard to compare it against all others.