Automation Anywhere Reviews

We work with partners to implement the application on several customer sites, typically banking, financial security, and insurance. We work as a service provider. It's used, for example, in the banking sector to handle processes and tasks. It helps automate. 

We've implemented more than 3,000 business processes for customers. 

It helps improve performance and helps companies save time and money. Customers have been very happy with the experience so far. We've saved about 10% to 15% of time and costs. One robot can help replace a portion of the workforce. 

The security on offer is very good. 

AI has big potential right now. We're trying to support organizations that want to integrate it. We're trying to increase AI capabilities.

It's a pretty easy solution to use for business users that are not technical. They can learn the tool very fast. In maybe six weeks, even with no previous experience, they can go to the market to implement the service for the client. After a while, they can become very proficient in using it. 

It's easy to integrate with other applications. We can integrate automation into workflow APIs, business applications, et cetera. 

The product has helped increase productivity. 

There could be more training provided by Automation Anywhere. 

We've faced some economic problems based on the exchange rate. 

A major impediment to using CoPilot is that many of our users cannot access the cloud. They need to work with the on-premises version. 

I've used the solution for five years, since 2019.

The solution is stable. 

The solution has been scalable. 

Technical support is good. 

Positive

I'm also familiar with UiPath and IBM RPA.

How easy or difficult the setup is depends on the customer's level of knowledge. Most of our clients are in banking and require on-premises deployments. Even government entities cannot use the cloud. We are comfortable with deployments and find the process to be straightforward.  Sometimes it is difficult to upgrade from older versions. 

We have five people out of a team of 13 that can handle any maintenance. Maybe 20% of our team would be involved in maintenance. 

The pricing of the solution is flexible. 

We did compare Automation Anywhere with UiPath. Automation Anywhere could offer more marketing and training. 

I'm aware of the CoPilot feature. However, we do not have clients using it. We're trying to introduce the tool to the market and to the customer. However, it has the potential to be a good application. 

I'd rate the solution 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. 

Our company uses the solution for automations. 

As a portfolio manager, the key responsibility is to determine how to use our latest technologies for use cases. We identify use cases in various functions and buy software licenses for them. 

Once we buy licenses, we use the solution for end-to-end discovery of use cases, onboarding in-house technical staff for ongoing management, and collaborations for training or licenses. 

Our licenses are used by our technical team within our Center of Excellence. The team handles the end-to-end work that includes development, testing, quality assurance, and production. We are using the solution to its full capacity. Bots are at an optimum because we want to extract maximum value from our licenses. 

We plan to increase usage once we finish migrating from on-premises to the cloud. 

The solution has helped us embrace more of a digital transformation footprint, bring in efficiencies, and create an internal infrastructure.  

The solution's architecture is very nice. The three components are a bot, a control room, and a bot developer. 

The control room is quite a good feature. It is easy to use and gives you the power to manage your digital workforce. It gives you a sense of understanding in terms of how the audit trail happens. 

The solution should include an analytics dashboard. As the space is maturing, many vendors sell functionalities as separate components so this is not unique to the solution. If I am buying a license, I should at least get a flavor of my analytics with a dashboard related to operational KPIs. Right now, if you want detailed analytics, you need to buy the dashboard separately. This licensing structure adds to the overall cost. 

The solution should include bot insights instead of selling it as a separate license. From the bot and business perspectives, insights are important for operational agility metrics and managing KPIs. For example, I want to how many hours in a day or month a bot runs for human resources when it performs A, B, C, D, and E and gives benefits across D, E, and F. 

I have been using the solution for three years. 

The solution is stable so I rate stability an eight out of ten. 

The solution is somewhat scalable so I rate scalability a six out of ten. 

We get the right support when we ask for it. Sometimes though, service requests are not handled within the timeframe we expect. Issues move in circles until they are placed with the proper technician. 

There is definitely an opportunity to lessen the response time so I rate support a seven out of ten. 

Neutral

I have prior experience with UiPath to a certain extent. 

The setup takes a good amount of time because you have to develop an infrastructure that includes servers and compliance. A lot of time is spent framing those requirements and signing contracts that are quite detailed. 

I rate the setup a five out of ten because it is not that easy.

We worked with technicians from the solution to implement.

There are some difficulties in migrating to a new platform. There are a lot of internal governance forms or approvals that can delay the process. Lots of things need to be reworked as you go through the process. 

For about four to six months, you can take on the fixed paper side to get all the needed approvals. In some cases, the process might even take eight months because everything takes time and other business activities may take priority. Separate contracts need to be created for automations and they are usually handled by another team. Many approvals are needed at all levels of the organization. 

We currently use the solution on-premises but are migrating to the cloud. This process is also not that smooth and requires nudging. We are going back to the drawing board to take another look at things and rework if needed. Most components should be scalable and reusable but we are having a few issues on that front. 

Ongoing maintenance includes our internal team working with two or three of the solution's technicians to resolve issues. The solution's team routes or allocates the right technician to handle our service request. Our internal team supports and helps their technicians to understand our unique scenario. 

The solution is definitely worth the money. It is up to you to add quality use cases and utilize the digital workforce along with the human workforce. The tools are there, but the actual metrics derived are your baby. There are many benefits to automation solutions. 

I won't give 100% credit to the solution. Perhaps UiPath would have given us the same results. The way you use a solution makes all the difference in ROI. 

Similar to how competing products are priced, the solution has separate licenses for features that should be included in a bundle package. For example, the analytics dashboard and bot insights are sold as separate licenses. 

No one wants to buy a product that is too complex because components are sold separately. Give longstanding customers these benefits as icing on the cake. 

The solution is not the least or most expensive. Pricing is good and in the middle so I rate pricing a five out of ten. 

The options were evaluated before I joined the team, but I believe the company also looked at UiPath, Info Sales, and XCL. 

No tool, product, or technology is 100% foolproof. Each has its own set of pros and cons, including the solution. 

The common sales approach across the solution and other vendors is misleading. They make it look like a utopia where you will increase productivity by 200% in six weeks. This is not possible because organizations can't do magic in six weeks. Some of the claims being made by developers or content providers are creating a false impression in terms of senior management. There is no magic wand. There has to be automation. It looks and sounds simple, but implementation is not that easy. Your program, team, and communications management need to move in tandem to give you the inputs or outputs for sensitivities around people, roles, responsibilities, and training. 

It is important to be realistic when launching a new product or partnering with a player in the market. Be open and honest with customers. Don't make things too glamorous because it will be difficult to achieve that expectation. Stop overselling it and just be natural. A lot of consolidation is happening in the space and customers are aware because they read Forrester and Gartner. You can't fool customers so be honest and let them know that the solution needs to be managed by human beings. 

The biggest lesson is to understand the functionalities you need before you buy the solution. Determine if the solution passes the litmus test. Be cautious about overselling it and instead set the right expectations. 

Ask upfront if some additional features can be bundled because that will really help with your automation journey. 

I rate the solution a seven out of ten. 

I use Automation Anywhere to automate the data input process and produce the forecasting output.

We store our data in Databricks, which is sometimes shared via email. To automate this process, I've created a pipeline using Automation Anywhere that extracts CSV files from emails, uploads them to Databricks, saves the resulting table on a selected AWS page, processes the data, and feeds it into the model.

Automation Anywhere is user-friendly, with drag-and-drop features for nontechnical users.

The learning curve is no more than one month.

It integrates well with other tools.

Automation Anywhere saves us one month per year.

Automated data processing is the most valuable feature of Automation Anywhere.

I have been using Automation Anywhere for 16 months.

Automation Anywhere is stable.

Automation Anywhere is scalable.

Automation Anywhere supports automation to scale.

The technical support is good.

Positive

The deployment is straightforward and can be completed within one and two weeks.

Before implementing, we want to ensure we have all the support and collaboration.

Automation Anywhere is affordable.

I would rate Automation Anywhere eight out of ten because it is practical and user-friendly.

I basically develop automations and also configure and create new scripts. I do user testing and separate testing as well.

We use it for legacy applications. We can automate legacy applications well, even with complexity.

It's very easy to use. It helps streamline manual processes. Manual work can cost the company a lot of money, but with an automation, work can be just a click of a button. That, and the work is more accurate and happens much faster. Any manual processes can be automated.

While it does use AI, we don't use it too much. We're looking at it. However, it's not something we prioritize.

I like that we can customize almost anything. You can create workflows fairly easily.

Even if users do not have technical skills, they can still use Automation Anywhere. It's not hard to learn.

I did training over one or two weeks. However, I did find some of the training challenging, specifically in areas where I didn't have any background. That said, I'm using it with legacy applications, which makes some things more complex. For most users, it would be very easy to get going. 

We did see near immediate results once we started using Automation Anywhere. Within a week or two, once we started testing it, we could see how useful it was. 

It's saved us time and money so far. We were able to do reports both before and after running Automation Anywhere and could compare the results and we were able to see that we did actually record savings on both counts. 

The scripting can be a bit difficult. 

I've used the solution for the past three years. 

The stability is very good. That said, it's not 100% stable. Sometimes it does crash.

I've never contacted technical support. 

The initial setup was fairly straightforward. Our team did not find it to be difficult. our deployment team was pretty small. We only had four or five people working on it. It was easy to upgrade as well. There is some maintenance needed, including the need to take logs. However, it doesn't take too much time. 

The price is a bit higher than other options. 

We did look at other options; however, we needed something that could handle legacy automation, and Automation Anywhere made the most sense. 

I'm a customer and end-user.

I'd rate the solution eight out of ten. 

New users should be knowledgeable enough to write scripts, as that's the main issue. However, it's a good solution for automating small processes.

We use Automation Anywhere in a DevOps environment. 

Automation Anywhere helps us resolve some friction between IT needs and business requirements. In an agile environment, the first questions are always: How much money do you have? What is your budget? Automation Anywhere or any other RPA solution can help you achieve your goals within budget constraints by lowering operational costs. It increases productivity and reduces errors.

I like Automation Anywhere's cloud-based nature. You don't need any on-prem infrastructure to host it. If you have suitable infrastructure, you can easily integrate it with Automation Anywhere. The learning curve is reasonable. Automation Anywhere has a user-friendly environment, but digesting all the platform's features takes significant time. 

It's challenging to train users on Automation Anywhere. There should be more organized training sessions. I prefer interactive classes to one-on-one training. You can create super users and organize conferences or workshops where users can learn from experts. Maybe you only have a few of these super users in your organization, so that's why you need to have workshops on a weekly basis. 

I have used Automation Anywhere for three to five years. 

I rate Automation Anywhere seven out of ten for stability. 

I rate Automation Anywhere support seven out of ten.

Neutral

I previously used UiPath at a past job but switched when I started work at my current company. 

I rate Automation Anywhere seven out of ten. 

I have primarily worked in the presales as well as in the sales cycle. I do not have hands-on experience with the tool. I have a team of people who are the continuous improvement folks who work in a particular area. We have developers or continuous improvement people who leverage the tool and go ahead and help to get them deployed. For example, if it is UiPath's process mining capabilities, they basically plug the data and do other things. They do the work, and we ensure that we drive the transformation and build the business connects for the customer. So, my role is very different. I am a management consultant. My core hands-on experience is not with digital tools in itself, but I leverage digital tools to drive transformation for a customer. As part of my role, I understand the features and the value add that it brings to the table. I do quality assurance of the outputs that are generated. I also ensure that teams are able to work in a client environment because they need to be able to access the client environment. I also need to drive transformation because there is a lot of stakeholder management. There is a lot of project management that is needed. I work in that area and that sphere. I am not a technical person as such, but when a tool is deployed, I understand how to execute the implementation, how to drive the discussions, and with automation, how to drive value for my customers. That is my area of expertise.

People primarily use it to fast-track and automate transactional, repeatable tasks. By using Automation Anywhere, people want the execution of transactional activities. It could be the back office. It could be the middle office. I have not seen front office use cases, but I am sure there are use cases for that. I have only seen a lot of middle office and back office activities. For example, in the Procurement area, a typical transactional activity would be PR to PO, where information is readily available. That is the use case where it can be easily applicable. Likewise, in the Accounts Payable area, you can use Automation Anywhere to execute automation for payment processing activities. The finance area has got a lot of use cases. They could be reconciliation-related activities, data-gathering activities from different documents, etc. In some areas of Audit to Cash, it could be even looking up invoices and answering customer queries that are pretty straightforward. These are the high-level use cases that I have seen.

Typically, when you are able to execute any repeatable task in an organizational environment, you enhance organizational AI capability. The reason is that your increased accuracy will improve the predictability of the AI algorithm for getting the job transactional activities completed. For example, if somebody is going to create a purchase requisition and the average turnaround time is five days, with a bot, I can get the purchase requisition created in one day. The organization can check and see what is the rate of improvement or what is the predictability of getting the orders received for producing the finished goods. When you look at the end-to-end view, you get predictability to say when will my goods reach the customer. You get to know that by improving one area with automation and ensuring that the work is done in a repeatable manner, you can improve your predictability by a certain percentage, so any automation of a particular process will improve an organization's AI capability. 

The biggest integration is how it integrates with the system of record. When you automate a process per se, you are extracting information or reading information out of a system of record. It could be SAP. It could be Oracle. It could be Microsoft Dynamics, but Microsoft has its tool called Power Automate. That is one level of system integration. The other level of system integration is where you have a front-facing bot. For example, anything to do with query management or queries that keep coming via mail or shared service portals. These integrations are a little different from the ones that you have with a system of record. Automation Anywhere integrates pretty seamlessly for both types of automation. The system of record integration can be a little bit of a challenge as compared to the regular mail servers or shared service portals because of the permissions and the security checks that are needed. Getting VDI access becomes a little bit challenging because customers sometimes are not comfortable giving full-fledged access during the UAT. It becomes a little bit challenging, but it also depends upon the maturity of the customer and the nature of the business. They are not comfortable giving full-fledged access because it will create problems for them, but after that, when it gets into the live environment, things are a lot easier and streamlined. It has nothing to do with Automation Anywhere. It is just about the maturity and the protocols that a customer has in place. These aspects make it easier to integrate with Automation Anywhere or any other service provider. Based on what my peers have mentioned to me, it is not challenging to integrate with APIs, etc. It is pretty seamless. There are not too many issues. There might have been a challenge in a specific situation, but by and large, in general, the capability it offers is pretty standard for a typical automation tool.

There have been a lot of use cases where we have used Automation Anywhere to save time and costs. Typically, any automation gives you 20% to 30% efficiency. That is what I have seen. That is an average. In some cases, it could be high, and in some cases, it could be low depending on the task and the domain, but 20% to 30% efficiency is typically possible.

Since implementing the solution, the tasks are taking place in a seamless manner. As long as the process is not changed, there is the ease of replicability. Repeatable tasks constantly get done without any challenges. 

There is also an increase in the efficiency of the people. There is reduced turnaround time for responses or getting the activities done.

We work with lots of digital tools, and I have been engaged with teams for the last seven years or so.

They are one of the top service providers for automation. They are definitely stable.

Automations are also pretty stable. Automation works on the fact that you are not changing your process. As long as things are repeatable, every automation software does the same thing. Challenges come when you do upgrades to your ERP, or for that matter, you make one simple change in the process. That is when you have any stability-related challenges.

I believe they can do automation at scale.

It has been a long time since I reached out to them for support. As a service provider, they are always there to provide support. The challenges happen in terms of how the deal was constructed, what was agreed, and where were the gaps in understanding. That is where the issues happen. There are usually many unknowns. I would rate them an eight out of ten based on my experience a while ago.

We work with lots of digital tools. We have leveraged UiPath in the past. We are platinum partners with some of the service providers.

 I know that Automation Anywhere, UiPath, or any other solution has its own specific nuances, but the gap between them is closing up technically. In terms of value, I do see that Automation Anywhere offers value.

The tool selection depends on the partnership deal. It depends on who an organization is considering and the approach for partnership deals. In my organization, we have different partners with whom we work. How you partner with an organization and approach that organization is one of the big differentiators. I know there are not too many players out there in the market. You only have big fours. The key thing is how you are partnering with them and how you are going into the market and taking their support. The second thing is how you are promoting the key capability that you are bringing to the table and how you are comparing it with other people. For example, I know that UiPath has process mining capability, but Automation Anywhere is offering AI capabilities. If I go to a customer and immediately start talking about AI via automation, it is a little drawn-out process for me, whereas with process mining, I can immediately plug and play the data and tell them what are the challenges and for those long run activities, what are my automation possibilities. The positioning is important, but I am not undermining the AI capabilities that Automation Anywhere brings. 

I was not involved in the deployment of Automation Anywhere. I work with the RPA team.

The deployment environment varies. It is dependent on the client's environment. It depends on where your data is and where you are doing the automation. If you are doing automation on the data fabric for reporting purposes and you are deploying a bot to gather the data from specific tables, you might put it onto a data fabric or a data lake. If you are working on PR to PO, that information is going to be on a system of record. It might be on the server itself. It is truly use-case-dependent in my view.

In terms of maintenance, customers typically buy the licenses, but these days, I see that customers prefer to use one main partner for all their licenses because it is easy to manage that one main partner. It could be the largest partner they have in their set of vendors who are supporting them for all IT-related activities. If they buy it from them, they do not need to do maintenance, but if they buy the licenses themselves, they may need maintenance. It depends on whom they are engaging with and what is the purchasing model of licenses.

They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are. Are you a premium partner or are you a preferred partner or a gold partner? Prices are very standardized. There could be a little bit of deviation, but they are comparable. It is a pretty saturated market because everybody has been doing our RPA for the last decade, so they are pretty competitive in pricing.

Every customer is at a different maturity level. Customers at a high level of maturity of process standardization definitely are looking at the next wave of evolution with generative AI. To do some things in generative AI, there have to be some elements of automation. Companies that are not so mature or the small and medium are not yet there. They are trying to digitize the ways of working. They want to ensure that they have the right framework structure within the organization. They are experimenting with automation, but it is more like a basic level of automation. Mature companies with billions of dollars in revenue have already been doing it for the past many years. They are taking up more of the generative AI opportunity to enhance and go deep into those areas.

I would rate Automation Anywhere an eight out of ten.

As our business is a mortgage company that provides loans to borrowers, we use Automation Anywhere to automate business processes to help the end users process loans faster. 

The application's response time is slow when using your desktop and trying to process an application. However, when you apply automation, it can work overnight. You don't need to sit at a desk and watch what's happening. It's all automated. 

Prior to implementation, everything was manual. You couldn't inject other software, like APIs. However, with AA, you can bring in any number of tools that connect right into Automation Anywhere. This makes everything move faster. You save a lot of time and cost involved in processing the applications.

The recent update that included code analysis was very helpful. Previously, we had to go line by line. Now, inside the tool, it shows you which lines are hard-coded. 

We've saved a lot of time. How much time we save depends on the process. It's likely at least 50%. Sometimes, it's up to 70%.

We've saved on costs by about 30%.

It's reduced human error. Using Automation Anywhere, we can eliminate a lot of human error by adding exceptions and identifying what's going on quite easily.

For users who don't have technical skills, it's not that complicated. It defines what every command does. It may take a few months to understand the process; however, going through the documentation and using the community versions and forums will make it easier to learn. You can find answers to any aspect you want to understand. 

We did a POC with the automation copilot. It met some of our expectations. For some of the use cases, it will help in the future. 

The copilot's ability to integrate with our day-to-day is fine. It helps employees working with it. It helps them to make things faster. You just have to provide some information, and the background bots will run. It might help increase productivity in the future if we implement it at the enterprise level. Outside of the POC, it looks like it might help with productivity. 

The solution integrates well with other applications and third-party tools. 

There are great tools inside Automation Anywhere. 

With the automation copilot, if I have any internal tool or application and I want to pass on variables, I don't have it. Maybe the team can work on it to make it more efficient to make it work better across all automations.

I've been using the solution for four or more years. I started with version 10.x.

In the past two to three months, the support has gotten far better. Previously, we didn't have a live agent or live support, and now we do. It's great to have. They can respond immediately, and you can continue with what you are doing. You don't have to wait for support at all. 

Positive

We did not previously use a different solution. 

I was involved in the initial deployment. It took a couple of months.

It's relatively easy to upgrade. It depends on the organization. You need to add more variables and define the standards. However, it's not too complex. 

There is some maintenance needed. When you upgrade versions, devices may be disconnected. Sometimes you need to go and check if the device deployment is happening or not, or a deployment may fail. We have about two people handling the maintenance of the solution. You simply need to ensure the bots are deploying on the right schedules and check errors or disconnects. In some cases, you may need to redeploy the bot. The time spent maintaining bots maybe three to four hours per day per person. 

We also explored Microsoft's Power Automate. However, it wasn't as mature or up to an enterprise level at the time. Automation Anywhere had good standards and excellent support, in terms of architecture, design, and user interface, we chose Automation Anywhere. It also has good community support. Previously, we used to raise a ticket. Now, it's amazing - when you ask a question, people respond to it live. 

I'd rate the solution ten out of ten.