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.

Public Cloud

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.

Public Cloud

Other

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.

Public Cloud

Amazon Web Services (AWS)

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.

Public Cloud

Microsoft Azure

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.

Public Cloud

Microsoft Azure

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.

Public Cloud

Other

My main use cases for Automation Anywhere include both chat services within finance, invoice processing, and IT Service Management, as well as industry-related use cases, specifically focusing on healthcare. Revenue cycle management is one of the key areas where we implement solutions, and in some of my previous experience, I worked extensively with Telco organizations, improving order to activation lifecycle. Anything related to telecom processes has been a core use case as well.

A good example is when I was working on invoice processing, many tasks had to be manual. RPA used to solve some aspects, such as posting invoices into the ERP, but when it came to dispute resolution management, substantial context and reasoning were needed. Agentic Process Automation is now able to examine multiple documents at once, whether it be a purchase order or goods receipt, and it can analyze contract documentation to understand contract language, sending dispute-related emails to vendors and suppliers directly. This was one of the very first use cases where I started seeing success, and since then it has been constantly growing into other areas.

I utilize Document Automation in my current process, depending on the use case. Invoice processing is one example that heavily relies on Document Automation.

Automation Anywhere has helped me achieve my automation goals.

The cloud-based nature of Automation Anywhere CoE Manager has been beneficial. We are able to put it in the hands of business users for them to input ideas, and then for the CoE team to review the pipeline of automations and make decisions on approving the entire governance lifecycle, which has been helpful.

I use Automation Anywhere's AI Agent Studio for my automation processes.

My experience with the integration of AI Agent Studio has been very positive, specifically because I can connect with multiple systems via APIs, and the main advantage with AI Agent Studio is that I can also tap into traditional RPA workflows if I want information from a legacy system. That integration is also possible compared to other traditional AI agents.

AI governance is very important in my organization, and AI Agent Studio is improving its compliance with it. Initially, I struggled with metrics, starting from token consumption to see how exactly the agent took a particular decision. It is improving and is not fully mature yet, but all the new features regarding governance give me hope that I will soon get a complete picture of how we are leveraging the AI agents.

Compliance and security are embedded within Automation Anywhere platform, and we also have the controls to implement guardrails. This allows us to restrict PII information from being passed to the system and to the cloud, giving us good control in managing compliance and data integrity for the organization.

Document Automation impacted efficiency and productivity, as it immediately started helping me process unstructured data.

The main challenges I faced when I started using Agentic Process Automation was that earlier RPA used to solve anything rule-based, but I always hit a roadblock whenever reasoning and decision-making had to be done. The entire growth of Generative AI helped, and at the same time, Agentic Process Automation allows us to provide access to a lot of context to the agents, processing unstructured information and reasoning, so that we are able to solve many more use cases compared to traditional RPA.

The biggest challenge for the organization with Agentic AI mainly revolves around how efficiently we conduct evaluations. As we all know, whenever it comes to generative AI, there tends to be hallucinations, and we cannot be 100% sure the agent will always be right. Therefore, how efficiently we are benchmarking the performance of the agents and the overall governance is crucial, ensuring that none of the mission-critical processes go wrong due to an incorrect decision by an agent.

Automation Anywhere influenced the automation programs and the tracking of ROI.

Automation Anywhere can be improved by making it much more unified. Technology is changing rapidly, and as tech leaders, we often get lost on where the real value lies. Therefore, I want Automation Anywhere to stitch together multiple features and product lines into one single platform where I can manage the entire AI stack, rather than having multiple tools, including other AI productivity tools.

My experience with pricing, setup cost, and licensing has been mixed. Sometimes customer adoption of the Agentic features has delayed projects, specifically due to pricing-related concerns as the market evolves. Selling bots and RPA-related licensing has generally been straightforward, but Agentic-related licenses require much more due diligence, making it challenging to navigate the buying cycle due to pricing factors.

Before I used Automation Anywhere, I considered and used programmatic related automation, such as Python-related and heavy code solutions. Now, with Automation Anywhere, we sometimes lean into other solutions depending on the customer's preferences, especially if they gravitate towards specific SaaS products.

In terms of approximate time savings, traditionally processing an invoice took twenty minutes, but with all of this—not just Document Automation, but with all the other features—we are able to cut it down to less than five minutes, achieving almost a seventy-five to eighty percent efficiency gain.

I started using Automation Anywhere in two thousand eighteen, so it has been almost eight to nine years now.

My experience with the deployment has been good, with no issues there. There has been no downtime with the platform—though every deployment has some challenges depending on how effectively it is handled in the production environment—the availability rate from a platform perspective has been very good.

The decision to change to Automation Anywhere was initially based on ease of use and the quicker realization of value compared to other tech stacks, and this trend continues with many more AI features.

I use Automation Anywhere's Autopilot capability, but not extensively, because Autopilot sometimes gives a skeleton, and beyond that, substantial engineering goes into building the solution. Many times it has always involved building from scratch, but that is changing. The feature around using a cloud-like interface to start building code is going to definitely start saving some time.

Automation Anywhere's CoE Manager serves as a centralized area to track the entire initiative, including how many use cases we have and whether we are trending in the right direction or not, which has been very useful for visibility and automation lifecycle impact.

Automation Anywhere can be improved by making it much more unified. Technology is changing rapidly, and as tech leaders, we often get lost on where the real value lies. Therefore, I want Automation Anywhere to stitch together multiple features and product lines into one single platform where I can manage the entire AI stack, rather than having multiple tools, including other AI productivity tools.

In terms of approximate time savings, traditionally processing an invoice took twenty minutes, but with all of this—not just Document Automation, but with all the other features—we are able to cut it down to less than five minutes, achieving almost a seventy-five to eighty percent efficiency gain.

I would rate this review a nine out of ten.

I use Automation Anywhere when I'm handling repetitive digital tasks. For example, I use it when I'm capturing data and when I'm generating routine reports for our company.

What I like most about Automation Anywhere is that it saves a lot of time because it rarely makes mistakes, which could have been made if we were to do that work repeatedly. Time saving is a significant benefit.

Automation Co-Pilot is a good tool because it enables us to run and interact with automations that are already made without first passing through the whole development tools. This makes it easy to use when someone doesn't have a lot of technical knowledge about the software.

What I don't like about Automation Anywhere is that its troubleshooting tools need to be improved because they usually take a long time to solve problems as they come up. If they could improve the troubleshooting tools, that would be better.

I have used Automation Anywhere for three years.

Automation Anywhere is very stable. Issues can arise when the application you're using has changes that are automated, but if there is nothing like that, then it's very stable.

Scalability is not an issue.

I have contacted the support team before. The support is very responsive and helpful. When the issue being addressed to them is a smaller issue, they usually resolve it in a few minutes or even a few hours. They are very responsive.

The initial deployment of Automation Anywhere was a bit tiresome because at the beginning there is always a lot to do. For example, configuring the control room and connecting different components of the software took effort. However, once that was finished, it became easier to use.

It took us about two days to finish deploying Automation Anywhere. Our implementation team consisted of around 20 people who were exchanging ideas.

The pricing of Automation Anywhere is fair. However, when we go to licensing, that's where there is some problem. The licensing needs so much understanding, especially when we are going to use many bots. Apart from that, the cost is fair.

I have used alternate solutions before implementing Automation Anywhere.

Automation Anywhere does require some maintenance on my end, especially the bots. They need to be updated whenever there is any change in our applications. That's the part which needs maintenance the most.

I have integrated other tools within my system into Automation Anywhere. Integrating other tools with Automation Anywhere works very well with web applications and desktop software such as ERP and CRM platforms that we use in our company. Automation Anywhere is very effective at doing that integration.

For training people on how to use Automation Anywhere, it's a bit difficult. It might take about two days for people who are non-technical. For people who are technical, such as those who are going to be bot users or those who are going to be developing bots, it will take about two weeks because this is the critical part of using the software. The people who are going to develop the bots and the people who are going to use them need to be trained very effectively. I would rate this product an 8 overall.

Hybrid Cloud

Other

I have been using Automation Anywhere for the past 1.5 years to reduce manual efforts that we incur every day in our cloud environment.

We are using Automation Anywhere in AWS. We basically receive a few reports from multiple vendors every week and use Automation Anywhere to check if the files have arrived or not. If the file is not available by the expected timeline for each vendor, we need to send an SNS notification to them to trigger that, because if we do not receive that, our subsequent pipelines would fail.

We have some vendors that upload certain reports every week from Monday to Friday. We have close to 29 external vendors uploading all such reports to us, and we need to make sure that the report is available there. Using Automation Anywhere to assume a temporary IAM user, which is session-based access, ensures that the file is available there.

My use case emphasizes that Automation Anywhere has seamless integration with AWS, especially in terms of sessions.

We are still exploring new use cases where we can fit Automation Anywhere into handling certifications, recycling, or if we design a format of incidents with so-and-so user, so-and-so account, so-and-so role, and so-and-so issues. We are working on that to handle all such incidents using specified shell scripts or existing automations executed by Automation Anywhere.

Automation Anywhere reduced a lot of manual effort in the use case we already implemented. We used to have only six to seven vendors, and now we have close to 46 vendors, with each vendor bound to share a couple of files every single day, which means we are looking at around 85 to 90 files every day. It is very difficult to keep track of all of them manually.

Automation Anywhere reduced the FTE cost, human intervention, and the time it takes to notify the respective consumer, providing almost immediate notifications, which is not the case with manual processes. The incident resolution time is practically reduced from two hours on average to under 15 minutes.

Automation Anywhere helped me achieve my automation goals as it reduced turnaround time, cost, human intervention, and increased overall satisfaction levels for our customers.

We have still not explored Automation Anywhere to its full potential, so I will restrict myself from commenting on improvement areas at this time.

I have still not explored Automation Anywhere fully, but I would like to try it for personal projects. I have registered for the trial period to utilize its capabilities and gain a comprehensive understanding of what Automation Anywhere as a product offers to its customers.

There is no business relationship with this vendor other than being a customer.

I do not have any small or specific improvements in my mind at this point in time.

I have been using Automation Anywhere for the past 1.5 years to reduce manual efforts that we incur every day in our cloud environment.

Automation Anywhere is stable.

At this point in time, we are pretty much happy with Automation Anywhere's scalability and the benefits it is bringing for us.

So far, we have not raised any support tickets with Automation Anywhere customer support, but I strongly believe they will meet expectations.

We primarily used the in-house AWS application, but they did not provide great benefits to us.

We use Lambda functions, but considering the scale of the project, we have many Lambda functions running in our accounts that hit threshold limits, leading us to switch to Automation Anywhere.

The setup is easy. Regarding pricing and licensing, we are not directly paying for it since we use the product provided by the end customer, and I believe the pricing is somewhat justified.

The implementation team was provided to us by my customer itself, and I do not have those internal information available.

We have a reduction of two full-time efforts with Automation Anywhere.

The setup is easy. Regarding pricing and licensing, we are not directly paying for it since we use the product provided by the end customer, and I believe the pricing is somewhat justified.

I am looking for solutions that can showcase great builds using Automation Anywhere, especially in AWS Cloud or Azure Cloud, making it available to others as open source, so that users of AWS Cloud or Azure Cloud can benefit the most.

The biggest challenges are data governance, security, plagiarism, and using license code. With Automation Anywhere, we have not explored its full potential, so I cannot comment on how it can help in this case.

I suggest others curate their automation needs and consider using Automation Anywhere to implement them smoothly, focusing on specific use cases rather than large, interconnected automation projects.

Automation Anywhere is currently handling around 46 vendors, which is a number that has increased by 16 since we started using it, starting with 30 vendors, and we are satisfied with its ability to handle our increasing vendor count.

AI governance is pretty much required, as the general tendency of humans is to provide all information to tools, necessitating a clear segregation of what can be provided to AI tools and what can be copied from that.

I gave this review an overall rating of 7 out of 10.

Public Cloud

Amazon Web Services (AWS)

We do not cater to clients; we are automating in-house processes like finance and HR, payroll processes, accounts payable, accounts receivable, and collection. These are the kinds of use cases, with separate teams for each domain, while our team mostly focuses on the finance part of it.

I appreciate that Automation Anywhere is so user-friendly, and currently, our team is learning Power Automate and migrating some of the processes as we go. I find Automation Anywhere very developer-friendly, and I have been in this field for seven years, working on tools like UiPath and Automation Anywhere, then switching to Power Automate, which comes with quite a bit of a learning curve. Something that can be done very simply in maybe one or two lines in Automation Anywhere takes a lot of workaround in Power Automate. Automation Anywhere has positively impacted my organization primarily because the deployments were mostly done before I joined, and I focus on knowledge transfer and migration. However, from what I understand, during COVID, they started RPA in our firm and saved a lot of manual hours by automating the business processes, which was a lot of help especially during that time.

One area for improvement with Automation Anywhere is that while Power Automate has very simple integration with Microsoft tools, it is something that could be worked upon. Even in my previous organization and many other organizations are shifting towards Power Automate, especially companies catering to clients because of the cost efficiency with Power Automate, which is also something you can take into consideration. I confirm that while the product has advantages in terms of pricing, in terms of integration, it needs some improvement.

My current experience in this field is seven to seven and a half years.

The deployment of Automation Anywhere is quite simple for me.

We actually have some citizen developers in our organization who develop entire processes on Automation Anywhere, even with very little knowledge of how RPA works. During the migration, I had the opportunity to meet some of these business users when they came to India a couple of months back, and we had the same conversation that Automation Anywhere was very user-friendly compared to Power Automate, which is something everyone appreciated.

There have been many instances, particularly in my previous organization where we did a lot of development in Automation Anywhere, catering to clients like CPA firms in America, where we raised tickets for solutions but did not always find a satisfactory resolution, despite connecting over a call.

I previously used UiPath, but not in this firm where I have been for only seven months, focusing on Automation Anywhere and migrating to Power Automate.

I do not remember approximately how much time the deployment for this product took.

I could implement it all by myself without any consultancy or help from outside.

We do track ROI, though I do not have the exact statistics in mind. For every man hour during any deployment, we estimate about $70 saved based on how much it takes manually to do that process, and we track that every time the bot runs.

I am considering Power Automate because of the cost.

In my current role, I joined about six or seven months ago, and they have been using Automation Anywhere for three or four years with a renewed license for another three years. Automation Anywhere has positively impacted my organization primarily because the deployments were mostly done before I joined, and I focus on knowledge transfer and migration. However, from what I understand, during COVID, they started RPA in our firm and saved a lot of manual hours by automating the business processes, which was a lot of help especially during that time. The challenges I was trying to resolve by implementing Automation Anywhere mostly revolve around automating repetitive business processes, as during COVID, there was a lot of extra work in my role within the aviation industry. Streamlining the business processes made a lot of sense and helped boost the revenue significantly. I provided this review with an overall rating of 8.

On-premises

Other