Automation Anywhere Reviews

My use case is primarily for invoice and document processing in the HealthTech and FinTech industries, and apart from that, I use it for data entry, report automation, and IT support.

I am primarily a customer, but I also sometimes help other teams to configure and integrate as well.

I do use Automation Co-pilot.

The best features I appreciate most about Automation Anywhere include bot development, which is quite useful, specifically the IQ Bot that Automation Anywhere offers, along with automation analytics. It is well-suited for strong enterprise application integration, with most of our clients preferring to go with the ERP system.

The way Automation Anywhere helps increase productivity depends on different systems and platforms. For startups or small firms, productivity can increase by around twenty to twenty-five percent, but for the enterprise market, it is more complex, and I have observed an increase of about ten to twelve percent.

My experience with Automation Anywhere over three years has shown tremendous growth in operational efficiency and business processes, as it helps to automate repetitive and rule-based tasks such as report generation and data entry quite faster and efficiently, reducing errors by about thirty to forty percent from what I observed a few years back and improving SLA-related compliance.

For someone who does not have technical skills, using Automation Anywhere is quite challenging because it is primarily meant for the technical aspect, though it can help with basic data entry tasks, such as invoice processing and other repetitive back office operations. Overall, it is highly beneficial for someone with technical expertise.

Areas where Automation Anywhere has room for improvement include situations with insufficient data, which may hinder effectiveness, as it works best for enterprise-related tasks. Productivity is high when sufficient data is available, and there is room for enhancement in bot performance and visibility.

Aside from bot performance, I think the centralized control room could be improved, and integrating manual implementations could benefit greatly from full automation, especially as I see about thirty percent of cases related to legacy system integration that could be improved.

In comparing Automation Anywhere with other solutions such as UiPath and Blue Prism, I have used UiPath and found it to be more user-friendly, while Automation Anywhere is cloud-first, which presents challenges with legacy systems. However, it offers cheaper pricing and simpler cloud deployment and scalability compared to UiPath.

I spend about two to three hours maintaining bots personally, but my team's efforts vary with complexity. The initial setup requires significant time, about eight to nine hours for monitoring workflow, but this can reduce to three to four hours daily after four months.

My thoughts on Automation Co-pilot are that I primarily prefer to use IQ Bot for document processing. I also integrate it with Microsoft three hundred sixty-five tools, allowing me to work primarily suited for enterprise-level applications, and I generally prefer Automation Anywhere for any AI application related to invoice processing.

The challenges I have solved with Automation Anywhere include reducing manual effort and operational costs, achieving twenty-four-seven automation for critical business processes particularly in the HealthTech field, and optimizing invoice-related operations while improving accuracy and compliance.

My advice for others looking to implement Automation Anywhere is to focus on the pricing point and start with a strategic blueprint for implementation. Begin with small, stable, high-volume processes before large-scale automation, ensuring there is a clear understanding of rule-based systems and governance.

I would rate this solution an eight overall.

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.

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.

I have used it for multiple use cases across various domains. I started with automating use cases in the utility industry, such as customer billing and processing meter readings. Those were the initial use cases for which I used it. Currently, I am using it for a transport company in the U.S., where we process their invoice documents, perform three-way matching, manage their supply chain records, and handle daily billing bots. All these implementations have been successful.

For the transport company, we have identified a use case. Their ticketing team is manually processing all the incidents that occur during that day. We are now collecting all the documents and information about previously resolved tickets. We are creating a knowledge base out of it, and we will use that along with the AI agents that Automation Anywhere has. We will create an AI agent that will help take care of tickets by learning from the knowledge base. We are working on the PoC, and within the next quarter, we will be able to implement that.

We have implemented a Generative AI solution using Automation Anywhere and ChatGPT for email management. We implemented it for semantic analysis and sentiment analysis. One of our clients wanted us to create a bot that automatically fetches all the reviews from all of the social media platforms, including Twitter, and create a knowledge base within their own platform or database, whether the review is positive, negative, or neutral. For that, we leveraged the ChatGPT plugin along with Automation Anywhere. We created a bot that reads all their reviews, does semantic and sentiment analysis, and accurately describes them as positive, negative, or neutral.

We have not yet used Automation Co-Pilot, but we plan to implement several use cases. One use case involves integrating AI agents with Automation Co-Pilot for conversational AI. Users can input queries, and AI agents will run prompts to fetch required details directly in Automation Co-Pilot. This is particularly beneficial when the process SMEs need to verify post-bot run actions and address any data issues. Currently, the RPA support team is asked to rerun bots. We aim to enable SMEs to prompt bots for reruns, reducing response time from different time zones from five to six hours to immediate actions, significantly boosting productivity.

By implementing Automation Anywhere, we wanted to reduce the manual effort required for various processes for the clients. Previously, the client's accounting team had to collect all the bills, and based on the vendor, upload those to a particular portal. They daily receive bills for more than 250 vendors. We have now automated the process. There is no manual intervention. Earlier, this effort used to take more than 300 hours per month with more than ten people, whereas now, it does not take more than 50 hours per month, and they have only five people.

We have done integrations with Oracle NetSuite and Google APIs. We have done automation with ChatGPT and Claude AI. We are now leveraging Document Automation along with AI agents. We have also done integration with Anthropic. The integration is quite smooth and seamless. 

Document Automation is a game changer. Earlier, with IQ Bot, we achieved partial automation—around 80% of the process was automated. With GenAI and Google Vision OCR now integrated into Document Automation, end-to-end automation is achievable, even with unstructured documents.

The AI agent automation is noteworthy. Everyone is moving from RPA to agentic process automation. I had a chance to delve deeper into it at the Imagine event in Bangalore in 2024, where I engaged hands-on with AI agents. We are exploring use cases to create our own AI agents, which is exciting.

The generative recorder and BPMN converter features are also impressive. If we have recorded the complete process flowchart in the .BPMN file, uploading this file into Automation Anywhere results in a complete bot framework, reducing development efforts by 30%.

Additionally, the generative recorder's ability to handle changes in web portal elements ensures process continuity and notifies developers of updates, aiding in environmental change understanding. If any element changes on the existing web portal on which the bot is currently working, the generative recorder can record and capture the action. The bot will automatically understand at the run time that the particular object has changed, and it will automatically take actions to complete the process and ensure that it does not fail because of that one change.

AI agents need further improvements. AI agent technology in agentic process automation is still evolving. We have only scratched the surface, and there are many potential use cases yet to be explored. As technology advances, I believe it will enable us to implement more comprehensive automation solutions.

Document Automation has issues related to speed. When I compare Document Automation with IQ Bot, IQ Bot is faster than Document Automation. My understanding is that they are still evolving Document Automation, and this issue of slowness will be resolved in the upcoming .35 version, so we are good with that.

They are working on signature identification and validations for handwritten documents. Currently, we are able to extract data out of scanned but digital images, but there is still scope for improvement for handwritten documents.

I started using Automation Anywhere in 2015, so it has been over eight years.

It is stable. I would rate it a nine out of ten for stability.

I would rate Automation Anywhere a ten out of ten for scalability.

Our clients are small to medium organizations. We have seven people working with Automation Anywhere.

I would rate their support a nine out of ten.

Positive

We have completed several migration projects, moving existing bots from platforms like Blue Prism, UiPath, and Power Automate to Automation Anywhere. This was due to limitations with these platforms, such as Power Automate's compatibility issues with legacy systems, which resulted in partial automation.

Customers seeking end-to-end automation have found Automation Anywhere to be the best tool. We analyzed all bots and processes to determine that Automation Anywhere met all requirements. We converted their process documents and redeveloped bots in Automation Anywhere, resulting in successful end-to-end automation. 

Licensing costs for Blue Prism and UiPath are higher compared to Automation Anywhere, making the latter's ROI more appealing. 

Automation Anywhere is currently leading with GenAI and AI solutions. UiPath is also good, but they are still defining its market position. They are a bit confused about whether they want to project themselves as market leaders in AI, RPA, or agentic process automation. Automation Anywhere has already released five to six features directly connected with AI, not just for the customers but for the developers. Blue Prism recently came out with the cloud version. They are still exploring how they can leverage more AI into their platform. Power Automate works great with Microsoft products, but it fails badly outside the Microsoft ecosystem.

Automation Anywhere has enhanced a lot since we first started using it. At the time, it had the client/server architecture. It was not on the cloud. We had to manually install Automation Anywhere on each and every desktop. In 2019, they shifted to the cloud, so we just have to install the bot agent on any computer we want to use as a device. It does not matter whether it is a bot creator or a bot runner. That has improved the installation setup and reduced the configuration time by 80%. Previously, we had to manually install the client and control room and configure them. That was a tedious task, whereas now, because of the cloud, its deployment is very simple and user-friendly, and it has reduced the earlier effort by 80%.

Almost all clients use cloud deployment, but a Korean client has an on-premises setup because they are very diligent about the data. Cloud deployment is easier than on-premise deployment.

Cloud deployments typically take a few hours, around four to five hours. On-premises deployments can take up to two or three business days due to customer environment restrictions and infrastructure limitations. If conditions are optimal, the setup can be completed in one day. For the cloud, deployment time is much shorter, taking only about four to five hours.

The updates happen automatically for cloud deployments, whereas for on-premises setups, we have to download the new release files from the portal and manually do the updates.

In terms of bot maintenance, currently, our team is working for three customers, and there are 105 bots. Our team of seven people is handling these 105 bots. We are doing 24/7 service and daily spend four to five hours on average for bot monitoring and support.

We have one person for the cloud deployment. For on-premises, we have two to three people.

It is not cheap, with costs ranging between 700 to 800 dollars per month. While Power Automate is cheaper at 15 dollars per month, Automation Anywhere offers superior features, user-friendliness, and smoothness. Many customers are transitioning from UiPath and Blue Prism to Automation Anywhere, acknowledging its value. 

The pricing is justified and on-point. There are bulk packages that include licenses, Automation Co-Pilot, and Document Automation. Both Automation Anywhere and partners like us offer discounts.

For non-technical users, I would recommend the citizen developer program on Automation Anywhere University. They have a training portal where people can register themselves and do the learning paths. There is a learning path for new developers or people who do not have much technical knowledge but want to start their automation journey. They can go ahead and do that citizen development training and complete that learning path to understand it in a better way.

It takes about six months to learn it and start using it. The best part about the training is that you can also do hands-on training along with it. You can simultaneously learn and implement it. Six months is a good enough time to get your basics cleared and start your automation journey.

I would highly recommend Automation Anywhere, but the recommendation depends on the customer's specific requirements. For example, for automating tasks strictly within the Microsoft ecosystem, Power Automate will suit. However, for incorporating third-party applications like Oracle NetSuite, I would recommend Automation Anywhere due to its broader capabilities beyond Microsoft applications. Automation Anywhere easily accommodates diverse market use cases to meet customer requirements and scale effectively.

Overall, I would rate Automation Anywhere a nine out of ten.

I use Automation Anywhere for various things, especially in most cases, like automating most of my tasks because I'm always having multiple tasks such as email deliveries and so on. It helps me to automate all those tasks.

Being something we use daily also helps us with document management and file automation. It simplifies all our file management. It is easier to navigate because we are used to it. It helps us with editing, scanning, extracting some data, and so on. It's something that we use commonly in our organization.

I use Copilot, previously known as AARI, and it's not bad, as it is good for that in-app natural language experience, finding the running automations, and then the tasks at hand. It's not a bad one and simplifies our work.

Automation has helped us improve productivity in that it first of all saves time. With that, of course, that improves things, and we can now do other tasks. On top of that, because of the automation, at least we are able to eliminate those human errors, maybe missing out on something. It is really good for improving our productivity and has helped us a lot.

I'm just a user, an end-user of Automation Anywhere. I have no affiliations. For improvement, perhaps what I can say is that sometimes I get challenges with the customer support team. When I contact them, they are sometimes busy, and I get delays in replies. They always reply, but at a later hour on some days, although of course, some days they are responsive.

I started using it earlier in June last year, but it's not that I had some stopover and then again just resumed recently.

I wouldn't complain about the stability of Automation Anywhere. It's stable. There's nothing that crashes or any abrupt shutdowns. It's always consistent.

The scalability is also good. It's a good one.

The quality of the support is a good one, but it's just those delays when we need immediate help. I would rate it a seven out of ten. It's not bad and good, but there are only delays when they are replying and they take some time. Not every day, but of course, some days.

Positive

I had used Blue Prism for a short time, but I didn't have a good experience, so I had to change.

The learning curve of Automation Anywhere was a steep one. It was hard to get used to the software initially, but then after some time, I was okay with everything. Initially, the deployment was a little bit tricky to get used to, but with time, we are now okay. Initially, it was a little bit complex.

I have an estimate for how long it took to deploy it. I estimated around two to three months.

It being a decision made by our big IT team, everyone also has their other reasons why we had to switch from Blue Prism to this one.

Both are good, but personally I would prefer Automation Anywhere. It's much easier for me, easier to navigate, no coding is required, simple to use, and pricing is fair.

I got the link on the platform of Automation Anywhere. It was an invite through a form.

Currently, I have no specific feature I would demand in Automation Anywhere. Of course, I would be happy if they added any other feature that would make my work easier. Although I'm not certain of which one, but at the moment, everything is okay with it. If they can also make any additions, it would be good.

Currently, it does not require any maintenance on my end.

I have no major complaint about the integration of Automation Anywhere into my workflows, APIs, and business applications. The integrations are always okay. I have no major problems. It integrates easily with our systems. It has no main challenges.

Upgrading Automation Anywhere to a new version is now easier because I've done it multiple times, so it is easy. No problem with it. It is okay.

The pricing of Automation Anywhere is, I think, not bad and a fair one. It's not so expensive, but of course, it is worth the cost. It is good pricing.

Overall, I would rate Automation Anywhere an eight out of ten because it's something that I really depend on. File transfers, managing my tasks, automating, managing, monitoring the event logs, that automated monitoring of all our server logins, then also detecting any problems in the process and errors, and so on.

My main use cases for Automation Anywhere include enterprise use cases in travel, banking, and supply chain. It's used for automating back-office business processes that simplify the work of day-to-day business operations.

The AI Agent Studio plays a crucial role in our automation processes as we use it to create autonomous agents, specifically back-office autonomous agents. We use it to automate processes where AI agents call the RPA bots for automation. The bots will call, and the agents will be calling the bots for the action part, while decision-making is done by AI agents. Wherever decision-making is involved, the agents take the lead. If there are pure actions to be performed, an AI agent will call an RPA bot. If there is any knowledge discovery or details to be searched, then it uses context routing or a RAG index. Finally, whatever an AI agent has done goes through a human in the loop for final verification by a human reviewer. This is a business process and AI agents are new, so we have introduced human verification for any actions done by AI agents. It goes through a human review before actually being performed in core enterprise systems such as SAP, ERP systems, booking systems, or insurance claim systems.

The main challenge or objective I was looking to solve with agentic process automation is related to tasks which cannot be purely rule-based automation, such as reading emails or going through content which is more unstructured in nature. When referring to unstructured nature, it could be contract documents, mortgage documents, reading mail messages, or chat messages. In all those areas, we cannot employ RPA bots to perform the automation because RPA bots tend to expect the data to be in a more predictable, deterministic, and more structured form or a semi-structured form.

The Autopilot capability of Automation Anywhere has been more useful in semi-autonomous processes where I need to discover information from enterprise documents, such as policy documents or more enterprise-related documents. Autopilot is particularly useful for back-office teams because it provides more reliable and precise responses compared to traditional search methods. It is useful for teams in their day-to-day processes where they have to refer to information from enterprise documents, guidelines, or fetch information from SOPs.

The AI Agent Studio compliance feature effectively meets our needs by providing a trust layer that enables us to define which LLMs to use, the level of creativity that we can allow, and creative decisions we can allow it to take. It determines what gets revealed to the model provider versus what doesn't, including whether PII and PHI data is revealed or concealed. It also supports potential tokenization of sensitive data. The guardrail modules are beneficial; if the tool doesn't return the expected response, then it raises an error, alarm, or warning. These configurable settings within APA, in the control room, are a good way to start in order to pursue use cases that we couldn't pursue earlier, which were completely manual.

AI governance is very important in my organization, and the AI Agent Studio compliance feature effectively meets these needs. APA helped achieve automation goals, but it's evolving. We have tried simple and medium use cases, and there are more complex, cumbersome use cases yet to be picked up. For now, the complex tasks that we could not pursue through RPA, we are able to do with APA.

Automation Anywhere adapts well to customers' needs. Customers are migrating or willing to pursue more complex use cases requiring AI capabilities, and their platform supports the needs for more complex implementations.

The robotic capabilities are most valuable. The different screen scraping capabilities have been in use for a long time. Their agentic capabilities and AI capabilities have brought many new advancements and features. Their Autopilot, semi-autonomous agents, and autonomous agents have added numerous new features and capabilities. I would rate them high on these features because they have innovated and kept their platform more centered and relevant in the market by introducing these AI and agentic capabilities.

Automation Anywhere is a good platform with extensive capabilities. Their roadmap is promising, especially the AI roadmap. They have good AI capabilities, autonomous agents, semi-autonomous agents, knowledge agents, RAG capabilities, and AI engineering capabilities for faster development.

Regarding improvement areas for Automation Anywhere, they already have strong AI agentic capabilities. The autonomous agents and semi-autonomous agents have decent capabilities, and I don't see any gaps with the way it's been designed. We tried creating agents, autonomous, and semi-autonomous agents with Automation Anywhere, and it is working fine. We see good capabilities and faster time to implement. It has good low-code implementation capabilities, so we are able to perform implementations faster using the agentic AI stack in Automation Anywhere. The architecture and pro-code support for pro-code agents are areas that could use improvement, which they don't have currently.

I have been working with Automation Anywhere for five to six years.

Regarding stability and reliability, Automation Anywhere is good.

For automation at scale, it's a reliable platform. I can implement a large number of automations, and the platform performs well. I don't see any issues with stability or scalability; both are satisfactory. I can scale it in terms of hundreds of bots and configure hundreds of parallel robots easily.

I often communicate with the technical support of Automation Anywhere, and their technical support teams are excellent. They provide great support. Especially if you are a premium partner or a gold partner, you have a very good support option, including a partner success manager assigned to you with good SLA deadlines within which your query is resolved.

Positive

I have participated in the initial setup of Automation Anywhere as they are providing a SaaS cloud model, so the setup is quite easy now. 

In the initial setup, you don't have to invest much effort because they now have a complete AI SaaS module, and even the A360 has a SaaS module. You can subscribe to it and just have things connected. There could be some plugins or certain settings for the local studio, or another local robot which might require certain add-ons and dependency packages. But it's more of an initial effort investment; once you set things up, it works fine.

They offer both on-prem and SaaS cloud solutions, but on-prem may require more effort in setup. SaaS cloud is easier to utilize and configure. Nowadays, most customers are migrating to cloud options, which come with various benefits and ease of setup, including commitments in provisioning servers. Multiple benefits are available, and many customers, including those in the Middle East, are migrating towards cloud setups.

It's affordable because the subscription allows you to use a certain number of tokens from the LLM provider. You only pay for the tokens you actually utilize, and you won't pay more than that. This applies regardless of which service you are subscribed to, whether it's Gemini, OpenAI, Anthropic, or any other provider.

I would rate Automation Anywhere an eight out of ten.