Automation Anywhere Reviews

As a developer, I have worked for three to four years integrating SD-WAN capabilities. I create framework technologies for an architect role and give them to development teams. In total, I have 13 years of experience, with 10 years in RPA. I have around 10 years of experience with Automation Anywhere. With UiPath, I have around four years. Currently, I manage the team and deliver end-to-end solutions to clients. I initially started as a developer and now play a project manager plus architect role.

I find the learning curve of Automation Anywhere pretty good. Day by day, the tool upgrades. All RPA market leaders are upgrading to intelligent AI, cognitive, and document automation. I have started working on intelligent AI capabilities, but still not on full resources.

I definitely find it easy for business users who do not have technical skills to use it. It is drag-and-drop and low-code, no-code only, so they can easily drag and drop and build simple projects. Sometimes they need some logic things, and if they are very skilled in logical thinking, they can build it without technical knowledge.

Automation Anywhere Automation Co-pilot is true. If users give a correct prompt, the Automation Co-pilot will create the code.

I definitely find that it has helped increase productivity. I find that it has also helped free time for my team to work on value-add projects.

I believe Automation Anywhere needs to improve on product quality. Sometimes it has intermittent issues. If one node is down, the other node is up and we have a backup, but unfortunately if something happens, all the bots fail. Product-wise, they need to improve compared to other market leaders, and pricing-wise, they also need to reduce.

They have to improve a lot compared to UiPath and Power Automate, which are the market leaders. Like connectors, scalability, reliability, and build quality work fine for other tools. Similarly, Automation Anywhere should come up with these plans. They need to improve.

I agree that the scalability is not as good as its competitors.

To make it closer to ten, I think they need to improve some GUI capabilities. They need to improve for a few collectors and all, as it is not working. Similarly, they need to decrease pricing-wise.

I have mostly eight years of experience as a user, consultant, and integrator.

I believe Automation Anywhere needs to improve on product quality. Sometimes it has intermittent issues. If one node is down, the other node is up and we have a backup, but unfortunately if something happens, all the bots fail.

I agree that the scalability is not as good as its competitors.

I can rate the technical support by Automation Anywhere eight out of ten.

I find the initial setup pretty easy to deploy and configure.

I would generally recommend this product to all markets and all domains. I think bigger companies can accommodate it. For startup companies, we need to think it up. Startups nowadays are not going for traditional RPA. They are moving to tools such as n8n, LangFlow, and some other open-source tools. So compared to those tools, they need to think how they can utilize this with the same product. They need to think of it from that perspective. I rate this product eight out of ten overall.

I started in the other company with the manufacturing processes for logistics and finance. Now, I am implementing processes for finance and human resources. 

My challenge is to use Automation Anywhere for automatic manufacturing and services. I always push my finance team first, and they have to improve the financial processes before we use Automation Anywhere.

Automation Anywhere is helping us improve processes, as it can handle specific improvements. As we can execute the same processes, it is now easy and fast. With the APA, we can improve more processes. As the processes are more automated and easier to use, it is faster to gain value. Automation Anywhere is helping me overcome these challenges.

Comparing Automation Anywhere with other tools for RPA, in my opinion, it is better because it is easier to use for both the final user and the developer. This gives us many benefits because we can automate the processes more easily. 

APA has helped me achieve my automation goals. It's helped us achieve some of our automation goals. It's made things a lot easier. We have integrated the APA and RPAs with SAP, with Salesforce, and with many data sources. 

I'm using the AI agent studio in the automation process.

I utilize document automation in my current processes. We introduced automation, and where we previously had to use many letters, we now use only documentation.

AI governance is very important in my company, and we are implementing it now. I discovered this company three years ago when I studied the RPA tools. AI governance and data governance are not currently implemented.

There is no need for improvement right now. The AI is very important, and they are starting to use AI. They could continue to develop it out. Innovation is very important.

I started to use Automation Anywhere five years ago when I was working in another company. 

The deployment depends on the processes being put in place. Normally, it is straightforward. 

I do not have the correct numbers to calculate ROI, however, overall, it has been very efficient. The time saved in document processing is good.

The pricing is a little bit high compared with other tools. Of course, some tools may be much cheaper, however, the offering isn't as robust.

For our internal policy, before implementing a new project or new tools, we have to evaluate technical skills and make a comparison with other tools. We did evaluate Automation Anywhere and UiPath. Between Automation Anywhere and UiPath, there are pros and cons. Automation Anywhere is easier to use for final users and developers.

I am utilizing the AI Agent Studio in my automation process. My impression of the AI governance features in maintaining compliance and data integrity in my company is that all the automatic processes are similar to processes made by humans. Only in specific cases do we have to use the compliance process with government; in most cases, enterprises would have to accomplish specific requirements. It is not usual in these kinds of processes to have compliance.  

I would rate Automation Anywhere a nine out of ten. If the price were a bit less maybe I would give it a ten.

My usual use cases for this solution are banking use cases, including fraud detection, KYC, loan, and loan servicing use cases.

The features and capabilities of Automation Anywhere that I have found most valuable include excellent support. As enterprise customers, we benefit from strong support for our needs.

My experience with the technical support of Automation Anywhere is great. Whatever issues we encounter are resolved within the defined TAT and SLAs, and their technical expertise ensures quick response times.

Automation Anywhere is easy to use for business users who do not have technical skills. We have citizen developers, and there are features available for non-technical or business users to create bots and automate their use cases.

The learning curve for Automation Anywhere is good, particularly with Agent AI. We have completed all our deployments using Agent AI with different GenAI features, and the experience has been excellent.

Currently, Agent AI is the best feature of Automation Anywhere. I value the Agent AI feature because previously all automation was achieved through RPA. Now, with AI advancement, we have RPA plus Agent use cases where Agent AI handles everything without human intervention in the loop.

The positive impact and benefits I have experienced from using Automation Anywhere include ROI through FTE reduction on the business side, which depends on the specific use case. We have benefited significantly from converting our manual efforts into automation and reducing our FTEs.

Automation Anywhere could benefit from more in-person support, as they currently maintain only a virtual presence. I would value this improvement because it provides real connection and facilitates better understanding of use cases and expectations.

I have been working with Automation Anywhere for the last five to seven years.

I rate the stability and reliability of Automation Anywhere as nine since we do not experience any major application downtimes.

I rate the scalability of Automation Anywhere as nine because over the five to seven years I have been using it, I have observed that it has already scaled well and will continue to be scalable in the future.

My experience with the technical support of Automation Anywhere is great. Whatever issues we encounter are resolved within the defined TAT and SLAs, and with their technical expertise, the response time is quick and effective.

I rate the technical support as eight.

Positive

Before Automation Anywhere, I was using Automation Edge and UiPath. I decided to switch from UiPath because of cost considerations, and with Automation Edge, we did not have sufficient technical support from that team.

The initial setup and deployment of Automation Anywhere were straightforward, with no major challenges during the setup process.

I participated in the initial deployment and setup of Automation Anywhere, including regular deployments and upgrades.

Automation Anywhere has helped me save both time and costs, with savings of approximately eight million in the last two to three years.

In terms of percentage, I saved around thirty to forty percent of time compared to before using Automation Anywhere.

The pricing of Automation Anywhere is reasonable compared to other RPA tools and agentic tools, and they stand out well in the market.

Before choosing Automation Anywhere, I evaluated Microsoft Power Automate, but it was not suitable for our use cases, which is why we selected Automation Anywhere.

I do not integrate other tools or applications with Automation Anywhere.

I do not use Automation CoPilot in Automation Anywhere as I use it in the office.

I was addressing challenges related to implementing Agent AI and its components, which we are now able to deploy successfully.

Training non-technical employees on Automation Anywhere usage does not present major obstacles, as we have technical expertise available on premises, and for any technical challenges, we leverage their solution architect experience.

From my organization's perspective on automation and AI, we have already deployed the use cases we wanted and need to explore additional features that become available in AI.

My approach regarding generative AI is specific to generative AI and CoPilot. We need to evaluate these features because we have not yet explored those areas, but we plan to do so in our future roadmap.

I rate Automation Anywhere overall as eight.

I primarily use it to automate repetitive data workflows.

The impact of Automation Anywhere on our organization has been significant. It has helped us save a considerable amount of time, approximately 30% to 40%, in repetitive processes and has improved automation accuracy. The finance team, in particular, has benefited, as their tasks are now automated from the data engineering side. I was able to integrate file transfers, validations, and data loading into pipelines, making the process more efficient.

Regarding the financial impact, my senior mentioned that it saves our organization around 40% to 50% in costs since it automates roughly half of the tasks, including data integration and file transfer.

Having completed the AI/ML engineering certification, I particularly appreciate Task Bots. They are extremely useful for handling repetitive tasks without errors. I also find IQ Bots valuable, as they can process unstructured documents—something that can be quite complicated—and automatically extract data. Additionally, the Control Room stands out for me, as it allows for centralized monitoring and management of all bots, which is crucial when multiple automations are running. These features are among the most beneficial I have encountered.

The platform is functioning quite well. Initially, I faced some challenges in learning the platform; it felt a bit complicated at first. However, as I became more familiar with it, I found it manageable. Debugging can be particularly tricky; identifying the exact reasons for bot failures can be time-consuming. Integration with modern data engineering stacks also posed some difficulties, but I have since learned to navigate these challenges.

I have been using Automation Anywhere as a data engineer intern for a year now.

As for stability, I would rate it a seven out of ten. Generally, the system is stable once the bots are tested and scheduled; they run consistently. We faced some challenges at the beginning, but they were manageable. Occasionally, updates or changes in the system environment can cause some disruptions, but these are not severe.

Scalability is one of its strengths because it can handle large volumes of data efficiently. As processes grow, it is easy to add more bots without incurring significant extra costs or effort. The cloud infrastructure for deployment works well in tandem with this capability.

I am working in a small organization with around 18 employees, all of whom are AI and machine learning engineers, including myself.

I would rate their support an eight out of ten. They are very helpful, but there is some room for improvement regarding quicker resolution times. They can take time to solve issues, but overall, the customer service is solid.

I have only used Automation Anywhere as automation software so far, so I cannot compare it to others at this time. However, if I get the chance to use another software in the future, I will definitely make a comparison.

The deployment process was quite straightforward and smooth since it is cloud-based. We deployed it on Microsoft Azure, starting small and gradually scaling up. 

The Control Room feature made it easy to manage multiple bots in one place, allowing for effective monitoring. In the beginning, it took about two to three weeks to implement because we encountered several issues and system failures. However, our team did a great job, and we managed to overcome these challenges.

I strongly recommend this software to others as it efficiently manages manual processes. All we need to do is monitor it and handle issues related to fault tolerance. Overall, it is quite effective for automation processes.

I would rate Automation Anywhere a nine out of ten. It handles our credential data securely and is user-friendly, though there is room for improvement in debugging and integration features.

The main use cases for Automation Anywhere are customized bots for customers, and lately, we are working with AI through Agentic.

With Automation Anywhere, we have been able to streamline processes for our customers in the logistics industry. Currently, we are increasing efficiency for logistics agents or logistics operators and increasing their productivity.

Running a business with a lot of people is expensive. Agentic AI is going to help us have the same level of productivity but with lower costs. The biggest challenge for the models is to keep track of the context. Whenever the context is too large, it tends to hallucinate. That's something that we're working on right now. Automation Anywhere helps me overcome these challenges through its well-structured knowledge base. We're still looking for ways to improve the context window. The support they provide in helping through every step is beneficial.

Document automation impacts our efficiency and productivity significantly. A part of our key processes is reviewing invoices. It helps us in terms of people who process invoices, allowing them to focus on what really matters, which is approving or denying the actual changes, as opposed to doing data extraction and data entry.

What I appreciate most about Automation Anywhere is the ease of use. Everything is easy to set up. I also appreciate the extensibility that it has.

Automation Anywhere can be improved with better documentation. We would benefit from having better technical documentation that is more readily available.

Having better documentation that is more openly available would help. Often, it feels necessary to contact someone or search for documentation that is stored behind a login or in another location. It would be beneficial to have one centralized place for everything.

We have been using Automation Anywhere for approximately five years.

I have not used another product before choosing Automation Anywhere. We have been using it from the beginning.

The deployment experience with Automation Anywhere was great. It was smooth, and it was helpful that we had somebody already set up the way.

It's fine. However, I'm concerned with the credits in terms of the pricing for the AI models. It is understandable that the new ones are more expensive, but the base models, after doing the pricing conversion, cost about four to ten times as much as paying directly.

Initially, we were considering UiPath, but since we started with Automation Anywhere, we have remained with it.

APA has not yet helped to achieve our automation goals because it hasn't been rolled into production, but it looks promising.

AI Governance is pretty important because we handle customer data. We need to make sure that what we're building is not open to any exposure. We need to ensure that AI is not doing things that are not part of the plan, and there is data confidentiality, and keeping track of information.

I would rate Automation Anywhere a nine out of ten. 

My use cases include technical service, finance, and IT ops.

What I appreciate the most about Automation Anywhere is its ease of use. The ease of use helps my company by allowing us to roll out automations quickly.

The main challenge I was looking to solve with the agentic process automation, is that we don't have any agentic process automation yet. In the age of agentic AI, probably the biggest challenges for me and my company are determining which direction to head and settling on the right path. Automation Anywhere can help me with that. It depends on the price point; currently, the pricing is a bit high. I am just on the RPA. I have not had a chance to try out the AI agent studio feature of Automation Anywhere yet.

AI governance is very important for my company in general. It is important due to safeguards, making sure that there are appropriate guardrails in place so it does not give proprietary information outside the company.

I utilize Automation Anywhere Center of Excellence manager or CoE manager. My impression of its impact on visibility in the automation lifecycle is so-so; it has good points and bad points, and I have discussed with Automation Anywhere several of the other shortfalls as well as the positives.

We are using the cloud-based nature of Automation Anywhere CoE manager in managing our automation pipeline. I use it to track the progress of various ideas, the solicitation of ideas from our population of managers, as well as to track a couple of projects against our initial goals. We do use document automation in our current processes, yet not in production as we are in the process of one project that's being developed right now.

One way Automation Anywhere can be improved is in ticketing; I have a couple of tickets that have been outstanding for a while, and the support staff have closed tickets without checking with me first, which has been a sore spot.

I have been using Automation Anywhere for five months.

I used Microsoft Power Automate before choosing Automation Anywhere.

My experience with the deployment has been very good. 

My experience with the pricing, the setup costs, and the licensing of the platform has been good with the bots, as well as the support package, but the price points on the agentic side and AI side are rather high.

I did consider other solutions before choosing this one, including UiPath. I went with Automation Anywhere because it was a coin toss between the two, but Automation Anywhere had a better price point.

I switched to Automation Anywhere since it is a better product. 

From one to ten, I would rate Automation Anywhere probably about an eight.

My use cases for it are twofold: we are automation partners, so we use it for customer delivery, and we also use it internally for many data entry tasks and intelligent processing of information, including PDF contracts and so forth.

We saw the benefits conceptually with the RPA, knowing it should work, however, we realized how helpful it is after about a year when we had a few smaller projects internally. We found that it works effectively for us and is trouble-free, though we occasionally need to tweak it due to operating system updates.

One of the things I appreciate the most about Automation Anywhere is that it's in the cloud, so when we are on-site on a project, we collect a lot of data, hand it to this bot, and it runs the function. By the time we reach our destination, whether we move from San Francisco to New York, it's equivalent to 20 people's work in six hours, utilizing quite a few attended or unattended bots.

The licensing model could be a lot less complex, mainly due to their different structures, which are not straightforward. The learning curve, especially for advanced automation, is complex and often requires a software developer, and sometimes there is less documentation, making it harder to navigate.

The challenge comes when we need to move data, such as when we build something in Excel and transfer it to Google Sheets, as the code changes, however, we aim for efficiency, and that advanced automation can be somewhat lackluster.

Our experience with Automation Co-pilot is mixed; it's still in its nascency and not as mature as projected. It relies on the underlying platform, meaning it works fairly on Windows 11. That said, has issues when using it on AWS Cloud, leading to confusion since there are many moving parts with the co-pilot that make troubleshooting challenging.

I have been using Automation Anywhere since 2016 and am still using it currently.

With the newer version, stability is questionable, particularly when a lot of heavy lifting is needed. Still, performance is solid once optimized since the RPA completes its tasks effectively.

Scalability entirely depends on how you design the process automation; it can be run concurrently or in a single-threaded manner, and AI tools can handle all forms of threaded processes without any issues.

I have contacted their technical support. The quality of support is good; they go the extra mile to address problems. Speed-wise, it varies since most staff operates from India. I've been impressed with their response times, sometimes within three to four hours, suitable for customers in the Pacific time zone, and I find the US staff to be very good. I would rate the support a seven out of ten.

Business users find Automation Anywhere manageable to use; since 2016, it has evolved from an engineering tool filled with tech jargon until around mid-2020 to a platform that is much more business-friendly and closer to the customer's mindset, though in comparison to UiPath, there's still progress to be made since it fundamentally operates an engineering company.

The biggest differences from UiPath lie in the designer; UiPath has an easier designer to start with, almost straightforward for selling. However, as you consume UiPath, the costs can add up, while Automation Anywhere does not articulate long-term efficiency. From a product design perspective, Automation Anywhere presents more complexity, especially regarding communication and the number of moving parts.

The initial deployment is not difficult at all for someone doing it for the first time.

Usually, one person or maybe two is required for deployment; while the automation can be built by one person, working with an internal application Microsoft CE or HubSpot through API calls typically requires at least two people to integrate effectively.

Maintenance is not required on the end-user's part, though if it is an attended setup, some monitoring may be necessary because VMs can become unavailable if used for other reasons, leading to a single-threaded heavy load process that runs for an hour but sits idle the remaining 23 hours.

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

We have many use cases. We have 200 bots, and we are doing extensive order management. We work at Cargill, so they do a lot of order management type of bots, but there are many different types of bots for all industries.

With Automation Anywhere, the features we are using help to remove tasks that humans are not good at, such as repetitive tasks. It's this type of task that people don't want to do. With intensive repetitive work, it's prone to human errors. That's what is helping us. It first motivates people not to do this type of work, so they can focus more on the customer and work on things that are more engaging. Additionally, it reduces the errors.

The main challenge that we are trying to solve with agentive process automation is business rules. We have many bots that have complex business rules, and these business rules are usually hard coded.

I joined my company, Cargill, in 2018, and since then, they have been using Automation Anywhere. I have been six years working with Automation Anywhere.

The main complaint with Automation Anywhere is when they release features that they don't have ready.

I did use another solution before choosing Automation Anywhere for the first time. In the past, we had UiPath as well. Also, when I worked for Hewlett-Packard, we were using WinAutomation, which is the one that Microsoft is using now for Power Automate desktop.

The pricing, setup cost, and licensing of the platform are the worst. This is my major concern and complaint.

I have considered other solutions. We are working with Power Platform, which is another vendor we are using at Cargill. We did an analysis last year on cost for the long term. If it works, we might change to that platform in the future.

In the age of agentive AI, the biggest challenge for me and my company is that there are many vendors and companies offering the same thing, which gets complicated and confusing.

I would rate Automation Anywhere overall a nine out of ten.