Automation Anywhere Reviews

For business users who do not have technical skills, I find Automation Anywhere very easy to use as it depends upon the configuration done by developers. For example, in invoice processing, we implement a human-in-the-loop where ARI or Copilot screens notify business users on Microsoft Teams. They can click on a message to see all details assigned to them, and both they and the manager can see how many people have assigned tasks, what approvals are needed. This familiar approach makes it easier to manage.

Additionally, if we implement Copilot inside applications like Salesforce, managing customer support becomes very easy because all details are available in their screen dashboard.

For example, in a large real estate company developing buildings, we provide a Copilot screen where they can see data extraction on one side and all documentation on the other. This setup highlights issues, allowing users to simply click on approve or reject buttons, streamlining communication with vendors without manual emails, ultimately pushing invoices directly into ERP systems like SAP or Oracle Fusion for further approvals if required.

In my day-to-day applications, I can integrate Automation Copilot easily as I can embed it within Workday, BambooHR, and Salesforce, allowing business users easy access to Automation Anywhere without logging into multiple applications, thus saving 85 to 90% of the time.

The features I find most valuable in Automation Anywhere include traditional automation and Copilot, as well as document automation and the new feature Gentiga, which is also a most valuable feature.

Automation Copilot has increased my productivity significantly.

The rewards I find from my projects going on in production are significant, and I am busy with that all the time.

I believe there is room for improvement in Automation Anywhere, particularly in their training programs, which need more development.

If I could add additional features to Automation Anywhere, I would focus on enhancing the intelligence within document automation.

I also think there should be improvement in integration with third-party solutions, though I believe they are positioned well in the market. Agentic process automation certainly simplifies life for developers and users alike.

I have been using Automation Anywhere since 2019, which is seven years.

My impression of Automation Anywhere's ability to provide automation at scale is very positive since it has been evolving and focusing on agentic process automation, showcasing their commitment to research and development and creating products that are scalable.

I rate the technical support provided by Automation Anywhere as good and compare it positively against products like 360, noting that the product has stabilized, resulting in fewer queries—just about five to six tickets in a year. Since we buy the sub-support pack, we usually get resolution within one to one and a half hours.

I would rate their support at 9.5 out of 10.

The initial setup of Automation Anywhere is easy; since it is now cloud-based, we do not have to worry about setups, and we can set up the entire system as production in about 10 to 15 minutes.

I have not seen the upgrade process as I have not directly performed any upgrades. With the cloud, they notify us of scheduled upgrades, often without causing downtime, and inform us about any affected modules, allowing us to manage our processes accordingly.

I find the pricing of Automation Anywhere a little bit high compared to India, but it aligns well with the global market, which I would say is the correct price or slightly less.

To maintain the processes in Automation Anywhere, we require personnel. Currently, about six to seven people manage 300 processes with weekly or monthly monitoring, especially when some applications are updated, necessitating adjustments to our bots according to changing business applications.

The time spent maintaining bots depends on the process and how many changes are within the front application. For example, transitioning from Oracle EBS to Oracle Fusion involves a complete overhaul.

I rate this review 9 out of 10.

I have been involved in multiple use cases for Automation Anywhere where we deal with healthcare professionals, event organizing where the bot manages event organization, reimbursement, and contracting processes. Additionally, I have worked with processes where trial capabilities of healthcare and medicine process-oriented functions have been established in the organization. Regarding the actual use case in the organization, the molecule discovery part was significant, where the RPA bot helped organize all formulas and rule-based processes involved in molecule discovery. These are the main high-level processes I have been involved in, all with high-value outcomes.

The flexibility of Automation Anywhere's Truly Universal Orchestration in integrating with different systems and models is evident since automations have been developed across multiple regions for 150 countries, covering all aspects of the processes in the organization, starting from healthcare professional automation to molecule discovery and document automation processing. This includes extracting key handwritten signatures and handwritten documents needed for invoice processing and completing reimbursement processes. The results of 150 bots are a testament to the reliability and stability of the bots in handling the entire dimensions of all processes.

Since I have been using Automation Anywhere from 2017 onwards, my most favorite feature would be the web scraping part, which is stable and reliable enough to orchestrate any kind of process that is involved at the organization level. The second most valued feature would be the intelligent document processing capability, called IQ Bot in the beginning. These are the two main features that I have valued most throughout my entire experience.

The web scraping feature of Automation Anywhere has been beneficial because most of the processes involve application interaction from the data level to the presentation level, and that is where the web scraping feature came into play as a crucial part for any kind of process that we were trying to automate, from simple form filling to payment approval processes. Everything involved navigation of screens, traversing between different fields, and multiple table interactions in the UI, which are not simple enough to work with, but Automation Anywhere was capable enough to bring stability and reliability to work across the dots and connect them, achieving high-value automation results.

I assess the reliability of controls to prevent infinite loops and retries in Automation Anywhere's deployment as excellent because Automation Anywhere provides the most reliable if-else conditional statements and loop retry functionality to handle any amount of data involved in the process. The data volume can reach up to 10,000 to 20,000 records in invoice processing or other processes involving document processing. In terms of stability and accuracy of document looping and retrying, I believe the platform scores 10 out of 10.

I believe Automation Anywhere can be improved by leading in the direction of seamless integration with the LLM models that are readily available today in the market. As LLM models are easily accessible as open source outside Automation Anywhere, I want to understand how Automation Anywhere would accomplish this on their platform to address the enterprise-level problems that exist today and create a mesh, which we call an agent mesh, to address each problem in different areas of the enterprise organization.

I have been using Automation Anywhere from 2017 onwards.

Prior to adopting Automation Anywhere, I did not use another solution to address similar needs.

In my experience, deploying Automation Anywhere is one of the easiest processes compared to other RPA tools. They call it Bot Lifecycle Management, where you build code with a no-code, low-code strategy, then place it in the version control of Automation Anywhere, known as the control room, and configure it as a package or extract and traverse between one environment to another. This is simple and easy for any new developer, and I find it to be a good feature.

I have seen a return on investment with Automation Anywhere, as we have achieved a value of 10 million for a single process in one year, helping that team to accelerate more and bring value to the organization.

The alternate solutions I considered before selecting Automation Anywhere included custom solutions with the available approved LLMs described in the organization.

Centralized governance across agents and systems is beneficial for maintaining consistency in my organization as it functions as a command center for a particular center of excellence of the bots. The system custodian looks after the entire global region of the bots, understands the pain points of each region, and assesses how the system and platform should be upgraded based on the needs of the organization and regional gaps. This approach has led us to build a center of excellence for RPA bots and work towards achieving that.

The option to buy, build, or bring your own tools and models has influenced my organization's automation strategy by allowing us to explore any models available in the market on an approved model level. We try to work with the approved models described by the organization and then explore through multiple tools and cloud platforms like AWS, where we can train, deploy, and explore the models.

The deterministic and agentic blended execution feature of Automation Anywhere affects the accuracy and efficiency of our processes. In simple terms, the deterministic approach is nothing but the rule-based, pre-planned steps involved in the processes. We use all the Excel-based commands, web scraping commands, and API commands to work with the deterministic approach and then try to integrate this particular set of solutions with the agentic part. I have not explored much on the agentic part, but this is the approach we use.

My advice to other organizations considering Automation Anywhere is to focus on the ease of doing things, even when the problem statement might be very complex in nature, and how to view and approach the vision of that problem to solve it in the simplest way that everyone can understand. I would rate my overall experience with Automation Anywhere as a 9 out of 10.

Earlier, I used Automation Anywhere for RPA whenever I needed to automate manual tasks or daily business-as-usual work. However, with the introduction of agentic capabilities, I am now solving more complex problems that go beyond deterministic automation by incorporating logical reasoning.

I have used both Automation Anywhere's deterministic and agentic blended execution features in one of my use cases. I cannot disclose the specific use cases, but I applied agentic capabilities where I needed to perform logical reasoning in understanding intent and maintaining context, while using the RPA part for regular automation to address one of my problems.

The features of Automation Anywhere that I like the most are Document Automation and native cloud offering.

Nobody wants to get locked into an ecosystem. If I want to host the solution somewhere, the native cloud offering is going to give me the freedom to use this at any cloud provider. The other feature I value is Document Intelligence or Document Automation. Although OCR has existed for a long time, it requires a lot of accuracy. With the Document Automation feature of Automation Anywhere, I get almost a good level of accuracy, and this helps a lot for full automation.

One of the benefits my organization has seen from these features is productivity in two ways. I am able to save a lot of time because of the automation. I do not need manual intervention anymore; manual intervention has been cut down by ten to fifteen percent. The productivity gains have been substantial.

I will rate the flexibility of Automation Anywhere's truly universal orchestration in integrating with different systems and models an eight today because bringing the agentic capability also comes with some complexity, and the world is evolving with this. Automation Anywhere has reached a high level, but there is still some scope for improvement, which I am very sure Automation Anywhere is working on and will be able to reach a ten.

Creating additional features depends on how the industry is moving. If something new comes into the market, I would definitely need to integrate it. However, based on today's conditions, Automation Anywhere is working very well. The only thing is that agentic capabilities are something that are evolving. I need the integration and the connector to be very smooth to use the features. Sometimes I need to navigate multiple places to figure out which features are available, which requires toggling here and there. The situation could be improved better by bringing some UI enhancements.

I have been using Automation Anywhere for three years.

My experience with deploying Automation Anywhere is that some things are very straightforward. For example, if I need to do GUI-based screen capture or some automation work, I can do it very frequently and very easily. However, when it comes to the agentic capabilities, there is still a gap where I need to figure out how the token consumption is happening and how my agents are talking with other agents. For example, when I was trying to bring some authentication, which I am not able to disclose the name of, I struggled a lot. I almost spent two weeks to get that authentication done because it was a third-party integration. The native offering is very good, but when I need to integrate with third parties, sometimes I face challenges.

Scalability is directly proportional to organizational growth. If there are more users and more processes running manually in the company, I am converting them into automation cycles and automation processes over time based on process priorities. With the scale of the system and the scale of the organization, Automation Anywhere is also scaling proportionally.

Any organization has to think about what to buy, what to build, and how they will be able to leverage the existing infrastructure or bring new things in. For example, if I have a good number of resources and all the capabilities, I will definitely put focus on building. However, if there are some ten features, why should I reinvent the wheel when these features are commonly available in the market? I should go for those features which Automation Anywhere gives as a default part of the package and use them. The ability to bring your own model is very important because nobody wants to be stuck with one model. I am part of an AI team where I head the AI function, and I need to make models and machine learning models every day. I need to fine-tune them and have the flexibility to do research and development with the models and bring my own models. These features help a lot because I do not have any locking. I can bring my own models, use the native feature of Automation Anywhere, and stitch them together to get the outcome.

The decision process is simple. I need to first evaluate how many team members and how many processes are running today in the organization manually. It should not be that only two members are doing the whole process and I need to bring automation. I should be very careful if the number of people doing the same thing daily is high and the volume is high, then I need to bring this automation. Then I will be able to automate the things and convert manual processes to automated processes. I will be able to use agentic or simple RPA. However, these are the criteria which I would suggest everyone go by before deciding to implement automation.

For any automation to be a success, I need to define the process very well. I am thankful that the process feature and process mining and process discovery feature of Automation Anywhere helps to do one level of check to identify the processes which are part of daily activity and part of business-as-usual. This helps a lot.

There are a lot of controls given in Automation Anywhere's native application. I am able to put guardrails and thresholds so that in case nobody is able to harass the system or do anything wrong, and if it crosses the threshold, I can stop it. This feature is already part of Automation Anywhere.

Governance is a very important question and something which is the need of the hour. Today, when agents come into the picture, I have a lot of integration ways. Whenever I want to integrate some third-party system with Automation Anywhere, I need to do integrations. Governance will be the key to drive everything. The centralized governance which Automation Anywhere offers is a very important and key offering. I am able to see how many runners and loaders there are, how my APIs are doing, what my threads and agents are doing. I am able to track it and govern it. If something is going down or going wrong, I am able to stop it. This is one of the important features.

I rate Automation Anywhere an eight today because, if I speak only about basic RPA and basic automation, I can give it a ten. However, with the new evolving features such as document automation and AI coming into the picture, Automation Anywhere is doing great, but there is scope for improvement. Also, many systems are available in the market now, and getting the integrations and connectors is not an easy job, which Automation Anywhere is already doing. Overall, I can give them an eight as my rating for this review.

I work in the cloud infrastructure department where I automate Python codes and decode ETL pipelines. My usual use cases of Automation Anywhere involve handling large volumes of data that come into the data warehouses, so I manage the data around the ETL pipelines. I ensure with the codes, Kubernetes, and Terraform that everything runs smoothly without any interruptions to the stakeholders. This is my daily work.

The features of Automation Anywhere that I appreciate the most involve moving data exactly as needed. For example, I was working in the payment department where we have sensitive data, and when collaborating with colleagues from different departments, I had to ensure what data should be visible to them and what data should not. In that process, we use some tools to define that process and make available only sensitive data.

Other than moving data with Automation Anywhere, I have also appreciated the dashboards and infrastructures. I appreciate the dashboards because my main work focuses on this. I was working in multiple departments, and when I moved to this project, we were in the migration from AWS to GCP. There is a good understanding of those things. We have different engineering departments, and I was working half with security and half with the cloud.

In assessing the flexibility of Automation Anywhere's truly universal orchestration for integrating with different systems and models, I see that it's a kind of e-commerce company right now.

In evaluating the capability of Automation Anywhere's Automation Process Architecture, or APA, for improving orchestration in AI projects particularly, I mention that there are millions of records in the data when we are processing it to the data warehouse. For that, we need Automation Anywhere to replace a few people, making it easy to process the data. For example, if we have to sit and automate each dataset separately by hand, it will take a lot of time to handle the millions of records. With Automation Anywhere, it will automate everything. It's smooth, effective, and very quick. It will make it easy to maintain websites and everything in the backend team, and filter out the errors and everything will be automated.

The introduction of APA has helped my organization in closing the AI ROI gap, as we have certain AI models coming to market, and every company needs to be adaptable to that. Even small companies are including AI because it is making the process smoother, easier, and more efficient. That's the main reason for the importance of this development. Last week I spoke with one of the vendors, and they also echoed this. They demonstrated the sensitive data of the customers and how they are handling it with the help of AI and the dashboard and department infrastructure, which is why it is very important right now.

In terms of areas of Automation Anywhere that could be improved or enhanced, as I previously mentioned, it's mostly when processing the data pipelines. There is a main role where we are processing the data, and that is where it plays a key role.

Before using Automation Anywhere, I did not use a different technology for the same use cases.

In assessing the reliability and stability of Automation Anywhere, I find it was nice. Currently, I am working where, for example, a customer has a ticket. I have to go through that and fix it while checking if there is anything on the related dashboard and infrastructure. If there isn't, I need to hand it to the firewall department, as they have to take care of it from there. In the process of taking care, there is a wall between them and me; they cannot fix the problem that I can, and I cannot fix the problem that they can, because there are different departments, different laptop servers, and everything. To build and maintain that, we need a developer.

Over the time that I've worked with Automation Anywhere, I have experienced downtime, crashes, or performance issues. Crashes happened before when I was working, and I have seen many downtimes. We worried a lot, and cost optimization is very important in the projects. We have to contact the supervisor or leads available on shift, take care of it from there, discuss it in team meetings, and proceed. I have to reach out to my lead first, then they will handle everything.

In terms of how well Automation Anywhere scales with the growing needs of my organization, I can confirm it scales well, particularly to process millions of records.

Since starting with Automation Anywhere, we have expanded the usage, and the process was smooth. Through AWS Glue and Redshift, if we have, for example, a million records, doing it manually would take about a year. With automation, we can complete the process in one or two days or three days, but we need to define the categories of which department should go where. There are different factors we need to build in before processing the data. Then it will go smoothly, taking around fifteen to twenty days.

I often communicate with the technical support and customer service of Automation Anywhere, and it was nice. Whenever I call them, they pick up. There's a little waiting time, but once they get connected, they do a good job troubleshooting the system. I would rate the technical support of Automation Anywhere a ten.

Before using Automation Anywhere, I did not use a different technology for the same use cases.

Before choosing Automation Anywhere, I did not evaluate other options or other vendors.

Centralized governance across agents and systems in Automation Anywhere is beneficial for maintaining consistency in my operations, and while I'm not currently working on that in this project, I worked with it in my previous project with Axis Bank. I worked with different departments on that, and I got the chance there.

Regarding whether there is anything else that I would like to improve, I have nothing further to suggest at this time.

I am aware of the pricing and licensing of Automation Anywhere for my company, and sometimes there are spikes and regular traffic. At those times, we have to go through the developers. That is a developer department, so it's not my area, unfortunately.

Automation Anywhere is deployed on cloud in my organization. My overall review rating for Automation Anywhere is nine.

I have been working with Automation Anywhere for one year. During this time, I worked with one of the clients who was using Automation Anywhere, and I worked with them for nearly one year.

Automation Anywhere has a lot of readymade activities, and they have introduced the queue concept, similar to UiPath, making their workflow much easier now. They have added a few new features that support image-based automation. For database-related activities, they have a queue. They have a lot of new activities, such as a multi-bot architecture that can be created by using queue, which will help resolve business cases. Automation Anywhere is a good tool compared to UiPath, and we can use both as per the requirement.

Regarding the learning curve for Automation Anywhere, I believe they have made it easy for freshers to learn. Initially, when I started in the 2017-18 period, they had not introduced the trial version. Automation Anywhere now has a trial version, making it easy for freshers to learn because most of the activities are drag and drop, and only a small code is needed, allowing a non-technical person to learn and implement the code easily.

Feature-wise, the document understanding and document extraction part in Automation Anywhere is a very good feature, as most of the clients require invoice extraction, PDF extraction, and email extraction. This feature is very good, with high-quality extraction, accuracy, and confidence level.

Automation Anywhere's Co-pilot is good, and I have started learning it. It helps to give accurate results.

Automation Anywhere's ability to integrate with the organization's day-to-day applications depends on the requirement. OpenAI and other integrations are also in the picture. We are using GPT-6 now, so Co-pilot and GPT have mostly similar features that will help to make decisions at runtime.

I believe there is an extra licensing cost in the queue for Automation Anywhere. I have asked many candidates in interviews about the queue side, and they don't have much experience with the multi-bot architecture features. Automation Anywhere should introduce some trials for the queue-based concept because it's an extra cost.

If they offer practical implementation approaches free or a trial version, then people can learn better. UiPath has made everything almost free for learning now, which allows companies to directly tie up and get initial learning trial versions. If Automation Anywhere also provides new AI features as a free trial, they can evaluate and propose good solutions to clients.

Regarding maintenance, I don't think Automation Anywhere requires much. However, I have one suggestion: UiPath has REFramework and other frameworks. If Automation Anywhere can introduce some framework for direct use, that would be beneficial, as everything could potentially be in the framework itself. If we have a multi-bot architecture, the Dispatcher-Performer model manages everything. In Automation Anywhere, we need to develop a different framework for each client, which is an area for improvement.

Looking forward, I expect the next release of Automation Anywhere to include a trial version and a framework tailored to client needs. If they can introduce a queue-based trial version for demo purposes, that would be advantageous. The reduction in cost is a positive aspect, and while support is good, introducing a few of the latest features as a trial version would make it easier for both freshers and seniors. Implementing these suggestions could help Automation Anywhere grow even better.

In terms of scalability, I believe there is no limitation currently. If we want to scale up, there could be an introduction of a package that includes all components as a complete solution. I think this might be sufficient, especially considering the multi-bot architecture, as everything would then be integrated efficiently.

I would rate the technical support by Automation Anywhere as an 8 out of 10.

I have heard from one of the clients that Automation Anywhere's support is very good now, but this was not always the case. If we raise any ticket, the resolution time has been reduced compared to before. I would rate the customer service experience positively, and according to my knowledge, the costing has also reduced. These improvements definitely give an upper hand to Automation Anywhere, especially with their support compared to UiPath.

The initial setup of Automation Anywhere is straightforward. The installation is very easy. Automation Anywhere has introduced a cloud version now, and initially, it was not a cloud version. We can now install the cloud version and utilize web-based automation. We can easily drag and drop to develop applications within an hour, even big applications.

Both tools are very familiar to me, and I think both are good. However, UiPath has an upper hand as they are evolving with the market and offering many free features for training. This is a lack in Automation Anywhere that can be improved.

We have a partner to purchase Automation Anywhere. I have worked with one or two clients where we are the channel partner, suggesting which license is suitable for customers.

Feature-wise, I have not used Automation Anywhere extensively. I have used it for one year as an architect, and while it has easy usability and many new features compared to UiPath, some features are not available in the trial version now. If they can make a few new features available as a trial version for practice, it will benefit trainers and freshers to learn and make suggestions.

UiPath has introduced free features for learning purposes, helping clients easily access POCs and research. It's difficult to find free trial licenses, and having only a few clients for Automation Anywhere is a significant differentiator from UiPath.

I think Automation Anywhere deserves an 8 out of 10.

Upgrading Automation Anywhere is straightforward. An installable is available, and to upgrade to another version, I only have to download the .exe file, click it, and it will upgrade seamlessly. It is easy and not a difficult task.

I am personally seeing life sciences and healthcare as the types of companies for which I usually recommend Automation Anywhere. We work with many customers like Pfizer and others who are using Automation Anywhere. In healthcare, there are a lot of customers using Automation Anywhere, including all top five companies such as Johnson and Johnson.

In the past, Automation Anywhere was definitely more of an RPA tool, which is what we used to see and still see in production as of today, and it is working very well. Nowadays, what I'm evaluating is Automation Copilot, Automator AI, and AI agent studio because these are the areas most customers want to explore, though they are also working with many other partners and evaluating which offers the best features and lower costs.

As a company, we are not somebody who will say Automation Anywhere is better than other solutions. We give customers solutions based on what works best for their needs. We are more into services and solutions, so once a solution is decided, if Automation Anywhere brings a solution which others don't have or if we have seen it works better, we recommend it. However, we are not the ones who give reports or say a product is the best to go with. Our solutions are primarily agnostic of all this.

Regarding the integration of Automation Anywhere with third-party solutions, the APIs are easy to connect, so I don't see any challenges there. Within life sciences, there has always been a challenge with compliance, so we usually don't get into those details. A networking team handles that and addresses how fast and secure the connections are. I don't have direct, real-time information on that front, but from the perspective that integrations are possible, the answer is yes. Automation Anywhere connects to most other destination applications. However, it all depends on the architecture and how we are placing it. If it is doing a single job or certain restricted job, then it is a very good fit.

Regarding training nontechnical employees on Automation Anywhere usage, it is very easy. Within one or two trainings, day-to-day training, I have seen people picking up the product and just playing around with it and starting to build applications. Specifically, with AI agent studio, it is really very good. We don't spend too much time training people. We just give them the basics and access, and they are able to pick it up.

The only thing I see as room for improvement is that the number of products being offered in the product list are too many. I feel there should be a package. Customers want to see less complexity and ease of implementation. When we tell them there are five or six products, one in the studio, one in the copilot, and all those other things, they really feel confused about what each does, how much they have to pay, and what different skills are needed. Once you package them into a single suite and offer all these things within that, it becomes simpler to explain and your package solution becomes better from the customer side. That is one area I think should be revisited because customers are very keen nowadays to look for simplicity and don't want their systems to appear very complex.

I have been working with Automation Anywhere for more than four to five years, and definitely for three to four years in my current role.

However, wherever the largest implementations I have seen in Jira and elsewhere have been deployed, they are going fine. I have not heard any issues from customers. They are able to run it and have also put AI solutions over it. AI needs a lot of data, a lot of compute, and a lot of integrations, and that is where the real products are being tested. Whatever POCs, pilots, or teams are doing, I have not heard about any issues. However, it is yet to be that phase where a lot of AI is happening and where a lot of things are at scale in AI with a lot of compute and messages going through.

Regarding technical support from Automation Anywhere, I work more into architecture and consulting, so we don't go into daily basis issues, but we keep talking to our delivery teams to get information. I feel it is good. Whatever I have heard is nothing bad about it, though there would always be scope for improvement. Primarily, what I have heard is that the support has been there, and as we are partners, we get a lot of benefit. We are directly calling Automation Anywhere architects on calls when we are stuck, which has been very responsive. I don't see that challenge there.

If you ask me which are those top two to three products, Automation Anywhere definitely comes to mind. We have been working with it for the last couple of years now. It always comes to mind that this is something which we should use. It is easy to use and has a lot of a no-code approach, which is where we find it very useful because that is what customers are looking for. It is easy to get the skilled people or train them on these skills. With such a tool, it is always easy to get the right people. Implementations are also easy, and then we can manage it well post-implementation.

I help my customers with the implementation. We are primarily into deliveries.

Automation Anywhere has definitely helped our customers save time and costs. It is a low-code, no-code tool, so the time is saved. The whole life cycle of the development is saved, the whole life cycle of the support system, and the number of people we are deploying during post-production to support it. All these are eventually putting benefits or impacts on the timelines and the overall cost. So customers are benefiting there, definitely. I have not seen a customer who says they want to get rid of Automation Anywhere and get something different or evaluate something different until today, and the last three to four years, I have not found a single customer who does that.

Regarding the pricing of Automation Anywhere, I think it is on par with whatever kind of features it is giving. However, overall as a package, there are some maybe less expensive products which commit that they also provide all these things. Unless I test on a daily basis or specifically talk about identity AI or AI-related functionality, it is very difficult to compare unless we are doing a live project. When we are doing a POC or just testing within our organization, we don't get client data, and client data is very sensitive, so we don't have production data. With that kind of information, it is very difficult to say which is giving better results. There are products which are committing to give what Automation Anywhere can do in a lesser price, so that could be the only thing. But other than that, whatever we know in the past and today, it is offering what it should.

Regarding upgrades to Automation Anywhere, I know that in one of the projects where I was evaluating and doing a review, I found that as a feature, there are all those pipelines in place, the migration pipelines for any upgrades without stopping the system, without going down, or having downtime for a longer period, or maybe zero downtime. There are things which can be done within Automation Anywhere, like upgrades of the applications or any particular components or patches. There would be certain level of issues or tickets which are being handled at the ground level, but it is not something I have seen customers saying is really messy and they want to change it.

Overall, when I consider functionality and pricing, I personally think Automation Anywhere should be rated a nine. The one point deduction is because of certain improvements needed in the packaging of the product. Additionally, the implementation, wherever it has already been done, or where we are trying to go to market to different companies, there are certain areas where providing better knowledge to companies like us would be helpful. If Automation Anywhere can share upcoming roadmaps, we can keep updated on what kinds of things may be implemented in the future, and that makes it easier for us to convince our customers that this is the right thing to go for because it already has maybe a two-year roadmap, and within this two years, they will see all these different features coming up. If that kind of information can be openly shared with partners over calls, I think that will really be very helpful. Product-wise, it is all good.

My main use cases for Automation Anywhere include document processing, payments, and customer pharma-related automations.

Some additional examples of my use cases are vendor invoice processing and intelligent document processing and payments for the normal people who are in the pharma domain in the United States and other regions.

Document Automation is used in our current process.

AI governance for maintaining compliance and data integrity is very much required to maintain the integrity and data integrity of our organization. We don't want to have any loose ends in the organization. For the effective utilization of an AI agent and to use it in the way it's supposed to be used, governance is very much required.

The impact on efficiency from Document Automation is significant. We are trying to get some data from the PDFs, and that is where we use this automation and document automation. We are trying to get data from basically unstructured PDFs. This has given us approximately 70 to 80 percent of savings. With respect to efficiency, there is almost close to 90 percent of efficiency, and with respect to the cost saved per person basis, it represents approximately 70 to 80 percent of an FTE.

To improve Automation Anywhere, I feel that the recent launches are not marketed to the granular level yet. There are some restrictions where I need to connect with the Automation Anywhere team to get some things resolved or gain access. Detailed documentation and an easy approach or easy access to all the latest releases would help.

I have been using Automation Anywhere for seven years.

In the age of Agentic AI, I think the biggest challenges for my organization are scalability and the cost metrics for the agents.

Before adopting Automation Anywhere, I did try other tools very similar to this, such as UIPath and even Blue Prism to some extent. I found Blue Prism to be more costly than this at that point in time, and I don't think it's used anywhere now. However, I feel Automation Anywhere is at par with respect to UIPath and has even crossed it in some areas right now with the leverage it is providing concerning the flexibility of the functions.

Regarding the pricing, I think it's high, and it's the same for the setup cost and licensing. Automation Anywhere has moved to the SaaS environment, and with the latest release I saw today, we don't need the dependency on a bot agent or a virtual machine to run a couple of applications. This approach is what we were actually waiting for because previously, the Automation Anywhere license was tied to one virtual machine per license. The licensing cost and the virtual machine costs are high for the company when the resource pool is larger. Now we are going to the cloud instance, which resolves that problem.

The main challenge and objective I am looking to solve with Agentic Process Automation involves a couple of applications which are on the legacy side, which could not be feasible for the current set of Automation Anywhere features, but they are a very good fit for the AI agents. I am trying to explore that.

Agentic Process Automation has helped me achieve the automation goals that I needed. They achieved it by getting the APIs, which means the overall turnaround time for an automation reduces drastically. I can directly build an automation in a couple of days if I have the API. If I don't have the API, then I need to follow the approval workflow. That takes some time, and then I need to get access to applications, follow the workaround, and see the available options in Automation Anywhere. That is a workaround which everyone should try to avoid.

I have started to use the AI Agent Studio to build these automation processes.

I am currently exploring this further. We have very limited access to Automation Anywhere in our organization right now. The licensing cost is very high, so we are trying to use it wherever it's necessary only and not on a learning perspective yet.

Governance is very important for my organization. It has to follow the organization's standard policies and all. Governance is very much required. We don't want to use an AI agent and do some unnecessary work which could lead to a huge loss to the company going forward. We also don't want to do any repetitive tasks by the agent. Governance and cost metrics are required.

The feature meets this need for the company.

We have not used the Autopilot capability or Automator of Automator AI yet.

I don't use the COE Manager. I don't personally have that level of access.

Deployments were a bit difficult earlier. We had to follow some set of procedures. We had to move from Dev to QA to Prod. The file movement and the code movement were not so easy earlier. However, with the cloud instances, we can directly deploy it, and testing has also been very easy nowadays.

With the last three versions, I can say that deployment has improved. Basically, when it moved to A360 versions and above that, the improvements became evident.

This review receives a rating of nine out of ten.

My main use cases for Automation Anywhere involve its strength in the banking sector, as I worked in the banking sector earlier. Currently, I am working in the healthcare domain, and I strongly believe that the UI which we have is a good advantage for Automation Anywhere. It is easy to understand, so a person who is new to Automation Anywhere can easily understand and start their journey with it.

Before using Document Automation, I worked with IDP, Intelligent Document Processing. Now they are adding the AI service also. Earlier, it would automate only semi-structured data, but now it has improved accuracy and can handle unstructured data as well.

In every organization, there are many process use cases where there is human intervention, and if we implement Automation Anywhere or any RPA tool, we can save money and exclude humans from the flow. It will save money, which is the main benefit. We can utilize the same time for different activities, such as upgrading skills.

I utilize Document Automation, which helps us extract semi-structured data and unstructured data, where we can exclude human intervention. This helps with document extraction.

Regarding the experience of deployment, we are observing deployment issues when new versions are released, such as being unable to deploy and some bot launchers crashing.

For my organization specifically, the challenge is with Automation Anywhere upgradation. We have more than 100 bots that were developed five years ago. When Automation Anywhere upgrades their software, they release new packages. When we are using lower packages, the performance and service become very slow, which was not expected. When we want to upgrade, it will be challenging for us.

One improvement I would appreciate is enhanced services. When we are running any specific process for a long time, the services are getting slow, which is a drawback I found. We need to improve speed and accuracy.

I have been using Automation Anywhere for five years, and I am still using it.

Before adopting Automation Anywhere, I used another solution called UIPath, but only for one year.

I am aware of the pricing, setup cost, and licensing. The license is favorable compared to other RPA tools in the market. Comparing it to UIPath or Blue Prism, it is favorable.

When comparing UIPath and Automation Anywhere, both have similar behavior with drag and drop functionality. However, with UIPath, you have to do some syntax work. In Automation Anywhere, it does not require syntax, so it is directly drag and drop options only.

When using Agentic Process Automation, my main challenge was agentic automation. We can learn Agentic AI, but the problem is identifying use cases where, when using Agentic AI, it needs to be value-added, such as saving money or reducing costs. The problem is when using Agentic AI, the cost will be very high compared to manual processes.

Regarding Agentic Process Automation, I do not currently have real-time experience with it, so I cannot comment. However, I want to utilize Agentic APA in the future to add value to my organization.

I am not utilizing AI Agent Studio in the process.

In my organization, the importance of AI governance is significant. When utilizing AI services, the main concern is security. As we are currently part of the healthcare domain, our main priority is the security of customer data. When passing data to AI, we take care of customer security. This is the main consideration with AI, but it will help in the future to reduce time, manual intervention, and improve speed and accuracy.

I do not have much hands-on experience with the AI governance feature in maintaining compliance and data integrity, as I do not have much experience with AI Studio and Agentic.

Regarding Autopilot capability, I do not use it.

I do not utilize Automation Anywhere's CoE.

In terms of improvement for Automation Anywhere, I do not have many comments at this time, as it is good in its current state. I would rate this review as an 8 out of 10.

The main use case for Automation Anywhere is where we see a repetitive task that needs our valuable time, and we automate those regular repetitive tasks through Automation Anywhere, which is useful because it can be used on any platform and can be integrated.

A specific example of a repetitive task I've automated with Automation Anywhere is when we want to trigger some task at a certain time and day, which we can easily accomplish through the automation.

Regarding our main use case, one of the critical tasks we have is to get an email notification whenever the log view indicates something in red.

The best features of Automation Anywhere, in my opinion, include its web-based management system that provides end-to-end automation for businesses, which I find to be a significant feature, offering a balanced outline for automating complex tasks.

The web-based management system is beneficial because it can be accessed as a web app from anywhere in a lightweight and easy-to-use manner, which has greatly helped me in my day-to-day work.

Automation Anywhere has positively impacted my organization by reducing team involvement and making monitoring and actionable tasks easier for us, and I'm proud to share that we signed the single largest outcome-based deal in Automation Anywhere history, showcasing its usefulness.

I have seen improvements across the board since using Automation Anywhere, and I can definitively say that it has saved us time, reduced errors, and improved team efficiency.

I believe your team has done a great job with Automation Anywhere, and while I don't see major issues, enhancing the web view UI would be beneficial.

I have been using Automation Anywhere for almost four plus years since I started working, which is about three years ago.

Automation Anywhere is stable.

The scalability of Automation Anywhere is excellent, allowing for easy adjustments whenever needed.

The customer support has been great and I am thankful for the multi-channel access to contact them.

We previously used some traditional tools lacking modern features, which is why we switched to Automation Anywhere, where everything is modern and orchestrated.

I have certainly seen a return on investment, and I would say we are achieving a five times return on investment.

My experience with pricing, setup cost, and licensing has been standard, as I believe those aspects are well-established.

Before choosing Automation Anywhere, I did not evaluate other options because it is my first choice, as I find it to be a cool tool.

Automation Anywhere has certainly helped us achieve our automation goals by automating the tasks we perform manually every day, making it a critical and important part of our use case.

I have had very limited use of the AI Agent Studio, but we have started working with it, and I think it's a great add-on, and we should look at and learn more about it.

AI governance is quite important in our organization, and I find that the AI Agent Studio's compliance feature aligns well with our needs.

I utilize Automation Anywhere CoE Manager, and I find it greatly impacts visibility in the automation lifecycle.

We utilize document automation in our current processes, and it is efficient and productive, increasing our productivity significantly.

I have measured the time saved by using document automation, and every week, we see substantial benefits.

I estimate that we save approximately ten to twenty hours each week through document automation.

The biggest challenge for my organization in the age of agentic AI is to ensure sensitive information remains private, and Automation Anywhere helps us align well with that goal.

The main challenge I aim to solve with agentic process automation is to deploy a smart and intelligent agent that mimics my own decision-making processes.

I would assess the flexibility of Automation Anywhere's truly universal orchestration as highly adaptable, managing to integrate seamlessly with various systems and models.

The data advantage provided by the Process Reasoning Engine due to its extensive training on enterprise processes is indeed impressive, and I would like to emphasize that.

I would rate this review a nine out of ten.

My main use case for Automation Anywhere is to automate business processes across different teams at FedEx Office.

I automated our toner replenishment program at FedEx Office. The bot reads all the toner levels at all of our printers in all of our stores nationwide, and when the toner levels get low, the bot will order replacement toners for the stores from our store warehouse.

Automating the toner replenishment process made it so that the store managers didn't have to monitor all of the printers in the store's toner levels, so it's an automatic system that replaces it and takes that process away from the store managers. It also saves the company money by managing all of the toner inventory in all of the stores, so we can reduce the amount of toner in the stores needed to just what they need.

The best features Automation Anywhere offers are its ease of use and easy to learn. It allows a person without a lot of coding knowledge to be able to make a process that becomes automated and brings business value to the company.

In my own personal experience, I don't have a lot of experience in coding and programming, but I was able to do the training and learn how to use the software really quickly and easily. Now I'm able to work on my own and meet with other teams to automate their business processes.

Automation Anywhere has positively impacted my organization by providing a lot of hours and dollars saved for many business teams across the company, and it helps spark ideas for people to look at their own business processes and learn how to automate them from end to end.

There should be more documentation on how to integrate into the back-end systems as that's our biggest pain point.

I have been working in my current field for seven years.

Automation Anywhere is stable.

Automation Anywhere scales really well. We can add it to different servers as we need.

The customer support is great. We currently have platinum support and they're available any time we need them.

I would rate the customer support a 10.

The reason I give that number is because of the great customer support we get from the Automation Anywhere team and the outputs that we get from using the software.

We did not use a previous solution.

Another team handled all of the pricing, setup costs, and licensing.

Automation Anywhere helps to automate our whole processes end to end so that multiple steps can be automated without having to hand off different business processes to different teams.

Automation Anywhere has definitely helped improve people's job capabilities. It's reduced the time they've had to work on projects and it has definitely improved the cost benefits for our teams.

I would say approximately over 10,000 hours saved a year with over 40 million dollars saved.

We looked at UIPath and Yext before choosing Automation Anywhere.

I would advise others looking into using Automation Anywhere to definitely take a look at it and start generating a list of ideas and processes you'd like to automate as early as possible so that you can start working on them and get immediate results. I would rate this product a 10.