Automation Anywhere Reviews

I primarily use Automation Anywhere for automating manual data entry tasks, such as customer data validation and supply chain management. I have used it for managing a large volume of customer entries, such as handling one lakh customer entries efficiently.

It saves time and is efficient in data entry for my company. Previously, tasks took more time, but now the process is easier with the software.

The best features of Automation Anywhere are having a user-friendly interface and the ability to integrate AI. Additionally, APIs and services like OpenAI's ChatGPT can be integrated, enhancing its functionality. It stands out for its efficiency and ease of integration.

The website can be buggy at times, and I would like to see improvements in latency and slow response times.

I have been using Automation Anywhere for about one year in my office.

I rate the stability of the solution as a nine out of ten.

I rate the scalability of the solution as an eight out of ten.

I have never contacted technical support as there have been no issues.

Before Automation Anywhere, I used testing software in BrowserStack.

The initial setup took about a day, and while it was initially a bit complex, it eventually became easier.

The solution saves about sixty percent of my time and approximately fifty thousand rupees per month.

Although the pricing is somewhat expensive, it is worth it for the value provided.

I recommend Automation Anywhere because it is beginner-friendly, allowing anyone to learn it easily in their organization.

I use it for a variety of shared service applications. It helps manage the volume of processing and handle many incoming ticket requests. I also utilize it for invoice processing, aiding AR collections, and some reporting. There is quite a variety of applications for Automation Anywhere.

I like the web-based development and the control room interface, which is robust and works well. Importantly, I experience fewer errors with finding screen elements to interact with when compared to other automation software. 

Automation Anywhere presents fewer maintenance issues. 

The built-in features, such as the connector builder and AI development tools, are easily accessible, keeping the software up-to-date. 

Before joining, I observed it to be a robust program with immediate visible benefits. I had fifty bots running, effectively demonstrating their workload. The hard parts, like recognizing ROI, building a backlog, and setting up internal infrastructure and governance, were already completed. Having done this elsewhere, I appreciate these accomplishments.

There are a lot of good built-in features like the connector builder. The AI aspects are very good. The software is keeping up with the times and I appreciate the new features they add.

It's easy for new users with no experience. You can learn quickly. You can also use pre-built packages that allow you to build a bot without much experience. There's Automation Anywhere University to assist as well. All of the tools are there to build a very robust robot. There is a learning curve within development. However, if you already have basic programming skills or a basic understanding of how computer science works, then it's fairly easy to build the bots that you need and can incorporate advanced logic, looping, variables, and things like that. If you understand those concepts, then it's not hard at all.

We have integrated other tools or applications with Automation Anywhere. That's one of the things that RPA is really good at. I couldn't say I've integrated other applications with Automation Anywhere so much as Automation Anywhere with other applications. We're using a lot of external vendors and automating processes for those external vendors that were problematic since they didn't integrate well with others.

The main request I have for Automation Anywhere is to focus more on technical demonstrations. They do extensive marketing and explanations of new technologies, which are great - however, often less technically focused. Common use cases are frequently repeated, such as loan processing and order fulfillment. I would like to see better and more technical use cases for the AI features, showing how to build them instead of repeated general examples.

I have used the solution for one year.

It is rock solid. Stability is great. I have never had any concerns about downtime or other issues.

The software is very capable. I am small compared to others, however, as a higher education institution, I'm probably one of the largest as a whole. The software can scale as far as I need, with no limit other than the investment of money, development time, and effort.

Initially, it took me some time to reach the right team for help, however, the support was knowledgeable and resolved the problem fairly quickly. Although it took a little over a week due to the tricky nature of the issue, I am generally satisfied with the support and have no significant concerns.

Neutral

I have used UiPath previously. I like Automation Anywhere better.

The initial setup was easy. It took me about a week or two to understand how to use it, and that's being generous. The concepts are straightforward and it's very similar to UiPath, beyond a few differences.

We haven't needed to update to a new version. The major update from on-prem to cloud was done before I came. 

The more minor upgrades were painful, yet not at all due to Automation Anywhere. ERP updates and things like that required us to test every bot. None of that was a fault or a problem with our Automation Anywhere. The rest was relatively smooth and straightforward, and the control room updates were relatively smooth and straightforward. This last update, we had a little bit of a hiccup. However, working through support, we got a workaround until the fix can get into place.

There is some maintenance needed on the bots. That's not the software's fault. The maintenance effort is quite low compared to what I was used to. 

Pricing is fine. Renegotiating our contract was challenging, however, I have a new salesperson, and I am excited about working with him.

I'm an Automation Anywhere customer. 

I have spent the last year getting a handle on Automation Anywhere, bringing five years of experience with its main competitor, UiPath. The opportunities for AI are boundless, and I am working heavily with the hospital to identify use cases. I am incorporating AI in invoice processing to extract data correctly and for image preprocessing. 

Benefits form transactions, like enrollment forms for healthcare and dependent change forms, are the next focus. 

I have yet to use Copilot, although I do have a use case that I'm hoping to build out.

In terms of seeing the benefits to Automation Anywhere, this particular job had already been using it for five years before I came. So the benefit had already been realized, and it was already a fairly robust program. I could see the benefit the first day I started. We already had 50 bots running, and it was very easy to see all of the work that they were doing. The hard part had already been completed in terms of recognizing ROI and building out a backlog of work, and having the infrastructure and the governance internally set up was already huge. I've done all those things before in other employers, and that takes significant time, a couple of years, to do it properly. Since that was already done, I could just hit the ground running, and we could just build more bots and make the bots that we had more robust.

I rate the product eight out of ten.

I have worked on automation for several clients and organizations. In my previous organization, we automated several business processes related to governance. Currently, I am working with Nokia. Here at Nokia, we are performing data reconciliations, including financial data, procurement data, and asset-related data. To achieve this, we fetch data from systems like SAP and custom applications. Instead of manually navigating multiple screens in SAP, we use the RPA Automation tool to handle these activities. We are essentially automating these processes.

We are exploring an automated system that can help our production support system resolve tickets more efficiently. We have the data of or the history of multiple incidents raised in the past two or three years. We would like to utilize this data to resolve new tickets and provide the steps for resolution. When a ticket is there, the automated system can identify the solutions and automatically implement those suggestions to fix the ticket. We have not implemented it yet.

At the moment, we do not have any use cases for Generative AI, but we are looking into it. 

Automation Anywhere has helped us with efficiency and accuracy. We cannot achieve the same level of efficiency and accuracy through manual tasks. There are also cost savings. Manually performed tasks are financially demanding.

Automation Anywhere is easy to learn. People who are not technical can also get started with this tool. They can explore and slowly adapt to the tool. They do not need too much expertise, but having technical expertise can be an advantage. Overall, Automation Anywhere is fairly good for non-technical people.

We have integrated SAP and web applications with Automation Anywhere. We have also automated using the APIs. Its integration is good and has improved over time. It is evolving and getting easier for us to integrate with external applications.

We have had a lot of time savings. We have 40 to 50 bots.

The best aspect is the user interface. It is very user-friendly and snappy, responding quickly compared to other available tools. It is easy to learn, and the community support is good for asking questions and getting answers. Training camps are provided by Automation Anywhere. I recently attended the document automation training camp. In 2025, we are going to attend the AI agent training camp. The community and the training around the tool have been beneficial.

In Automation Anywhere, the logging process is manual. We have to manually log each instance where the bot fails or the progress of a task. Automating this through a new feature would help developers simplify their development process. That is my suggestion.

About a year or two ago, debugging was challenging in Automation Anywhere. If you had multiple task bots with a parent task and a child task, there were issues during debugging. Automation Anywhere took the feedback and fixed it in the next releases.

I have been using Automation Anywhere for over five years.

Most of the time, I do not encounter problems with the control room. On a scale of one to ten, I would rate it a nine, but I have had issues with IQ Bot. I would rate IQ Bot's stability an eight out of ten due to some service instability. For example, it sometimes fails to communicate with RabbitMQ. Automation Anywhere's control room is very stable.

It is scalable. Scalability also depends on how we code or develop the bots. We have 45 different use cases, and most of them are multi-bot, so I do not see any issues with the scalability. I would rate it a nine out of ten for scalability.

I would rate it an eight out of ten. Most of the time, when I raise cases for help with the Automation Anywhere vendor, I receive good help at the right time. However, sometimes I receive automated responses, which are not helpful and cause delays. Despite this, I generally get good support, so I can rate customer service an eight out of ten, but there is room for improvement.

Positive

I have used Blue Prism and Power Automate as well. In Blue Prism, logging is simple because it is automatic. Automation Anywhere is more snappy and faster in response. It also has inbuilt document automation, whereas Blue Prism does not have the inbuilt OCR capability. Overall, Automation Anywhere is a better solution than Blue Prism.

Power Automate is a very slow tool. If you have to open any flow, it takes a lot of time to load. This issue is not there in Automation Anywhere. It is more capable than Power Automate.

Currently, we have two control rooms. One is an on-prem control room, and the other one is a SaaS or cloud control room. We are using both.

The SaaS option is evidently easier because we do not need to manage servers, issues, or restart services. We prefer SaaS for these reasons.

In terms of maintenance, the platform upgrade from one version to another version is not difficult. We started with version 21 of A360, and we are currently on version 35. Most of the updates in the SaaS environment are automatic and happen during the night hours. Most of the time, we have not seen any issues. They went smoothly, but sometimes, there were some terminations and other issues. If those issues are also taken care of, it will be very smooth.

For the SaaS control room, there is not much maintenance. We are doing maintenance only in terms of the code. In terms of platform, we do not need any maintenance for the SaaS control room. For the on-prem control room, there is a lot of maintenance. Sometimes, the services go down, or the communication between the application and database server has problems.

We have seven to eight developers and three to four production support resources. Building a bot is not an easy process. It is a lengthy process. The duration depends on the use case. It can take from one month to three to four months to develop one automation.

We have a separate platform team that helps us in terms of the platform issues. We have a development team, and we have a production support team. So everyone has their own responsibilities and roles. 

We have about 45 use cases deployed in production.

I would definitely recommend Automation Anywhere. I have been using it for the last five years, and it is one of the leading RPA tools in the market.

Their community support is excellent. If we encounter challenges, we can rely on the community for help. There are ample training programs and an Automation Anywhere university to facilitate learning. The solution is reliable.

I would rate Automation Anywhere a nine out of ten. Some features, such as automatic logging, could be improved. It has the potential to become the best tool.

As a financial institution, a lot of collections activity processing, invoices, and billing related to our collections activities is my primary use case for Automation Anywhere. That's really where I've been focused for these past few weeks. We're expanding into very ground-level things, consolidating reports from multiple systems, doing these basic use cases to start.

The features of Automation Anywhere improve my company by making deployment and maintenance of our automations a smoother process overall. We can make changes much quicker when we need to and it's definitely simpler for other affiliated people in the company to understand, including those who might not be working in the systems daily. It's put together efficiently enough that it's user-friendly for non-professional developers to handle.

The thing I appreciate most about Automation Anywhere is how integrated the aspects of it are. I also worked with another platform in a different company for two years and it wasn't nearly as integrated, and it required a lot of effort and time trying to get everything to communicate together, from version controlling and deployment. The simple act of engaging was more complex. 

Regarding the development environment, I'm really pleased with Automation Anywhere and enjoy using it. One place I find regular struggles is with basic documentation, including details about different commands or applications that are natively in the system. I tend to have to do test development on my own to find answers that should probably be in the documentation. That does slow things down, but once I get the information I need, it's really great to use overall.

To make it a ten, I would suggest more access to basic information, maybe more distributed use of it on the web. I don't find a lot outside of the internal community forum. It doesn't get much attention or use on Stack Overflow or other public community platforms. The responsiveness and amount of community engagement needs improvement. When I post questions, I seldom get answers fast.  When I do, I am usually just directed to the standard documentation, which I have already reviewed and found to be lacking the answers to my questions.

I've been using the solution for two years at my current role, and a total of about four years altogether.

The deployment has been pretty smooth. We haven't had an issue with anything. Mostly, it's getting all of our internal security and things like that locked in so that we can go through.

I don't have any specifics about the pricing. It's not in my area.

We are not using Automation Anywhere AI feature set at the moment. We just took the training courses in the past few weeks and are learning about it, and I'm hoping to get hands-on sessions to get experience using the tools.  Right now, we're looking forward to developing some use cases that we can start engaging.

The biggest challenges for me and my company in the age of AI stem from being a financial institution and credit union, which creates a particularly conservative environment. This takes more evangelism to get adopted, as financial institutions tend to have more regulatory compliance issues that we must be very conscientious of, so we have to proceed slower on that front.

AI governance is definitely getting attention and discussion in my company. Everyone has accepted that it's going to be a huge part of the landscape in the very near future, so it's important to ensure we have everything managed and planned within compliance for protecting private, personal information.

With our department structure, I personally don't utilize the Automation Anywhere COE, or Center of Excellence manager. I believe our managers and business analysts do, but that's not something as a developer I get involved with.

We haven't deployed any document automation in our current processes. We've done extensive exploration and have paid contracts for a certain number of documents, but we haven't had a beneficial, deployable use case yet. We know they're there, but we have easier tasks to tackle first.

Overall, I'd give Automation Anywhere probably an eight on a scale from one to ten.

Currently, I'm working as a RPA developer in India. We are using Automation Anywhere to automate the repeated tasks. We have clients who provide a business problem. After the feasibility study, we design a solution architecture, and based on that, we develop the bot. For the development, we use Automation Anywhere along with many other tools such as Python, Excel scripting, and there are many more, all aimed at solving the business problem and making the end-to-end automation that our client needs.

Automation Anywhere is the best among all other automation tools available in the market such as Power Automate and UiPath. The best thing about Automation Anywhere is its simplicity and user-friendly interface, which makes it easy to create bots because they have only three sections: variables, actions, and triggers. We just set the actions and implement them in the bot. 

Additionally, they provide learning courses and the 'bot game,' which is an engaging way to experience real-world and challenging problems that enhance our skills. 

Furthermore, Automation Anywhere boasts a broader community compared to others, with many people discussing it online and helping solve problems. Lastly, Automation Anywhere is low-code, allowing us to feel we are doing programming while solving problems.

The license cost is quite expensive compared to other tools available in the market such as Power Automate, which offers better features at a lower license cost. The main disadvantage of Automation Anywhere is its high cost. 

Another issue is that it is solely dependent on the Windows operating system, and since I am using Linux, I faced difficulties while learning Automation Anywhere because it only supports Windows environments. Comparatively, competitors such as UiPath provide cloud-based solutions that Linux users can access, making this another drawback.

I have been using Automation Anywhere for almost one year in my career.

Automation Anywhere has proven to be very stable. The instance currently running in the production environment operates almost 24 hours a day, demonstrating very good stability. I would rate its stability a nine out of ten.

As far as scalability is concerned, I would give it five out of ten because there are multiple programming languages and tools available, and if you try to implement and integrate them in your bot, you may find limitations within Automation Anywhere. For instance, while running a Python script, I encountered difficulties passing multiple arguments in a single call, which reflects a lack of scalability features.

I have contacted customer support for Automation Anywhere, and while their responsiveness is good, the reliability is lacking. We faced an issue where we couldn't run OCR and document automation in the same bot. The customer support team was quick to respond, but they were unable to resolve the problem we encountered during development, forcing us to seek alternative solutions. So, while customer support is responsive, it is not always effective in solving issues.

Neutral

The deployment of Automation Anywhere is very easy. 

We have three environments: development, testing, and production. We build the bot in the development environment and after building, exporting the bot is simple—just a few clicks to download the zip file. You can import that file into any other environment, including production, by clicking on the import button, and your bot is deployed. You can also schedule and run the bot in both attended and unattended modes, which adds to its ease of deployment.

Automation Anywhere does require maintenance on my end. The platform provides updates and package management. For instance, for browser automation, if you are using browser package version 1.1, you must use the same version across all environments; otherwise, the bot won't run. While it's possible to download and deploy the bot without adhering to package updates for production setup, managing package versions can still require attention. Thus, maintenance can be neither too simple nor too difficult, but it is necessary when developing with Automation Anywhere.

The Automation Anywhere interface is very simple to use as compared to others in the market. Non-technical users can understand Automation Anywhere easily because it is easy to grasp, but if a non-technical person tries to develop or read the code to understand the business problem, it might be hard. For example, we provide a process definition document (PDD) to non-technical persons such as business analysts who may have a less technical background. This document includes a high-level overview of the process, allowing them to understand the code better. Thus, it still requires some technical knowledge to fully grasp the business problems when using Automation Anywhere.

I have not used the Co-Pilot feature explicitly, but I am currently working on a project developing an end-to-end identity automation bot, where we utilize multiple documents totaling around five thousand. In this project, we have integrated Gemini and Azure OpenAI as LLM models through APIs or by downloading and fine-tuning the models according to our use cases, which we deploy using Automation Anywhere.

I would rate Automation Anywhere an eight out of ten.

I see opportunities to utilize AI in banking, mainly check validation and customer churn prediction. Additionally, my work with a Pharmaceutical focused on R&D and supply chain presents further opportunities for AI implementation.

For each full-time employee, we can deploy one bot, automating approximately 75 percent of their tasks.

Automation Anywhere makes tasks more cost-efficient.

Automation Anywhere enables us to achieve a 90 percent compliance rate.

For organizations with technical teams, Automation Anywhere serves as an excellent tool.

The learning curve is generally beneficial, especially with the rise of remote learning opportunities. However, businesses may find the transition challenging. Automation Anywhere is a valuable tool for technical teams, although it currently lacks generative AI capabilities like those offered by OpenAI and Azure. While RPA continues to evolve, it remains a strong asset for those with technical expertise.

Non-technical personnel can be trained to use Automation Anywhere in approximately two weeks. The training involves a standard checklist, a knowledge transfer session, a reverse KT session, and supervised practice. This approach ensures that individuals are fully prepared to use Automation Anywhere effectively within two weeks.

Our automation and AI strategy prioritizes delivering immediate value to customers. We begin by identifying and addressing their most pressing issues to demonstrate the benefits of Automation Anywhere. This approach allows us to establish credibility and build strong customer relationships, paving the way for tackling more complex challenges later on.

In the six months since integrating Azure with OpenAI, security teams have granted initial approval for using generative AI, leading to productive discussions on its implementation.

I have worked with the core banking system, which is fully integrated with Automation Anywhere. This includes call management, voice integration, and check validation using OCR scanning. Through this system, the entire core banking process is end-to-end and automated.

The integration is successful, demonstrating consistent accuracy rates exceeding 80 percent. Utilizing Automation Anywhere OCR scanning has proven effective and beneficial for our operations.

Automation Anywhere is easy to upgrade.

The OCR feature in Automation Anywhere is the best I have encountered, even better than Google. 

The initial cost of Automation Anywhere, including license fees and integration costs, is high. It is challenging for business users to operationalize the tool independently. Improving features linked to Gen AI and data processing could reduce dependency on ETL processes, allowing more tasks to be handled within Automation Anywhere.

Although Automation Anywhere is a GUI-based platform with drag-and-drop functionality, non-technical business users struggle to implement it due to the complexities of operationalizing automation within a business context. While a technical user can bridge the gap between the platform and specific business needs by collaborating with domain experts, non-technical users lack the understanding to effectively utilize the platform's features, resulting in a low success rate for independent implementation.

I have been using Automation Anywhere for six to seven years.

Automation Anywhere is stable.

Automation Anywhere is highly scalable for both horizontal and vertical expansions.

Customer service is good. Our internal COE provides support, and if needed, Automation Anywhere engineers are involved directly.

Positive

Previously, I used Blue Prism and Watson. Watson was primarily for the healthcare domain.

The initial deployment of Automation Anywhere is straightforward and can be completed in one week, assuming prompt support from the infrastructure team. The only potential delays stem from internal bureaucracy, not the tool's limitations.

The initial setup and licensing fees are high, and although it saves costs in the long run, reaching the break-even point can take at least six months. This means an initial investment may not yield returns for a year, which is often not feasible due to budget constraints. To address this, we offer amortization options, bearing the initial cost to help clients get started and then transitioning those costs into ongoing implementation support. This approach allows us to win contracts despite the high initial investment.

I would rate Automation Anywhere an eight out of ten. While it's a robust tool, costs could be more competitive.

Automation Anywhere requires a dedicated maintenance team, with a recommended ratio of ten technicians for every hundred users, to ensure optimal performance and stability.

The automation team handles bot maintenance directly, eliminating the need for a separate maintenance team.

I am currently working with Automation Anywhere at a company that uses it for client projects. I am learning Automation Anywhere while working on particular projects, and I gain knowledge from their website where they provide learning material to understand new different ways to use specific actions.

Currently, I do not use Automation Anywhere Co-Pilot because I have to use SAP Recorder, SAP Action, web automation, and Excel automation.

There are many features in Automation Anywhere that meet our needs. If you want to work on documents, Document Automation is critical. If you are working on Excel, there are Excel commands that are very helpful for Excel automation. For web-based techniques, there is a recorder which is very helpful for web purposes. If you are using SAP, then there is SAP Action, which is most helpful during SAP automation.

Automation Anywhere is very easy to handle because it is a low-code platform, so anyone can learn very quickly.

Automation Anywhere should add more features for complicated use cases. I am currently trying their structure format recorder, which is basically only working on HTML pages. It could work on Node.js or many dynamic sites, which would improve the recorder purpose. They can scale up and add more features like pivot charts to Automation Anywhere.

Structure recording in Automation Anywhere works on sites with a tabular format. If you go on Amazon and search for a mobile, it will give you table one, table two, table three, and many kinds of product lists. Currently, Automation Anywhere's structure format only supports HTML pages, not others built in Node.js or any application. They can add more technology or in Excel automation they can add the pivot chart feature.

There is a feature called AI Sense Recorder in Automation Anywhere. When using the Citrix environment, the bot is not exposed, so you have to capture it through image application. However, the AI Sense Recorder is too slow, so they can enhance its features for easier user experience.

I have been dealing with Automation Anywhere for five plus years.

Automation Anywhere is very easy to scale.

The technical support by Automation Anywhere is much better. I would rate it a nine.

There are two approaches for the initial setup of Automation Anywhere. The first one is the cloud approach and the second is the enterprise one, which is basically on-premises. On-premises is very easy as we have to set up the SQL database and the application, following all the steps. For the cloud, you do not have to set anything; just the proper configuration of the system is required to use Automation Anywhere.

We can integrate Power BI, Salesforce, and many other applications with Automation Anywhere using the API or the recorder action.

If you have the basic knowledge of technology, you can easily integrate all automation with different kinds of applications in Automation Anywhere. It is very simple. We just have to know about the features and their technology to use any kind of application.

As an RPA developer and RPA champion, I coordinate the implementation of RPA in my company and I also develop the automations. The main reason or main functionality that I am using Automation Anywhere is to integrate and collect data between systems, such as gathering data from one system and collecting data from another system, making some analysis, and having some results out of that. This is the main purpose or main use case in general for what we are doing here with this software. The specific challenge that we are trying to solve with implementing Automation Anywhere in our environment is to achieve better integration with SAP. Our ERP system is SAP, and this is quite a closed system, so to get any data or input any data, the only possibility is to use the user interface, or it is very difficult to do it in any other way. Therefore, Automation Anywhere acts as a simulator of a user, helping a lot with getting the data in time or uploading the data in a proper and easy manner. So for repetitive tasks related to SAP, this is the key functionality that we are using; integration with SAP.

The best features in Automation Anywhere that I really appreciate are found in the basic module for pure RPA, such as the recorder function, which helps in making automation even easier. No coding is required; you are just doing things, and the recorder records your movements and actions, creating the code out of that. This makes preparing RPAs faster. Another significant aspect is Automation Anywhere University's e-learning materials, now called Pathfinder, which enhances this learning curve significantly. The software's easy-to-understand interface is its biggest benefit, aiding rapid learning and automation creation. Moreover, the integration capabilities with databases and external web portals are well-developed, enabling seamless data management and exchange, whether it involves Microsoft SQL or MySQL databases or Microsoft Excel for reporting. Despite not having significant experience with other RPA platforms, I assess these features positively.

Regarding what I would to see improved or enhanced in Automation Anywhere, it's difficult to judge if the problems we are facing are truly RPA related or related to other systems that we cooperate with. The main issue is to have better resilience of the whole system. If we have 95% success during the bot runs, it costs a lot of time to debug and find the errors or to rerun the bots. So constantly working on the resilience of the bots, whatever it may be, will help. One thing I would to see included in the next releases of Automation Anywhere is a more clear overview of when we have gaps in our automation scheduling. Currently, when we are scheduling our automations, and we have historical data of our runs, there is no clear overview of when we have space in time to schedule another automation. So having functionality that shows in one clear picture where we have gaps to run additional automations would be beneficial.

I have been working with Automation Anywhere for already four years.

I would evaluate the stability of Automation Anywhere as generally stable, but there are some issues. It's always difficult to judge what the root cause is; it may be the software, the hardware, or other software. But in general, I would say it's stable in 90% of the cases.

It is difficult for me to rate the technical support I received because I was not fully involved; it was resolved between our IT and this support. I was just waiting for the results and trying to support. I would rate it a seven.

Although I didn't directly participate in the evaluation process when choosing Automation Anywhere, I know it was chosen because of its full no-code approach. Unlike other automation tools or systems, there is sometimes a necessity to know coding, making them low-code platforms. Here, we have a totally no-code solution, making it much friendlier for individuals with no IT background. I have previously used a different RPA just once or twice; I had the opportunity to use Power Automate, but it was just one or two hours of trials and nothing more. So basically, I have no significant experience and cannot justify which is better or worse.

For me at the very beginning when I started working with that, the technical setup was extremely complicated and extremely problematic, and we spent half a year to really make the software work. At that time, we were not happy with the support of Automation Anywhere. But now if everything is already set up, it's quite easy to learn how to do it and to make easy automations quite fast.

I have not calculated ROI, the return on investment from Automation Anywhere; we don't have such a complex analysis. We are calculating for single automations, but we don't have complex ones.

The main benefits I see from using Automation Anywhere, in terms of time-saving, cost-saving, and resource-saving, is the release of resources from high-paid and high-skilled specialists for more creative tasks. My recommendation for other organizations considering Automation Anywhere for their environment is based on my experience; it is always good to analyze the process first, then optimize this process, and after that, make automation of that. Otherwise, without proper analysis of the process, you end up digitalizing a non-optimal process, making automation challenging. So first analyze the process, optimize it, and then try to automate it; otherwise, you will have an automated process that is still not good. I rate Automation Anywhere nine out of ten.