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.

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.

I am in the infrastructure service offering team, and I am focused on product ownership. My role involves overseeing how technology and new versions of products are defined across the bank. For example, I am working on adapting our systems to the cloud for automation and integrating Generative AI. This involves utilizing Agentic AI for process automation.

My responsibilities include integrating product features and assessing how these functionalities can benefit the bank through various use cases. I conduct proof of concepts and demonstrations from a governance and compliance perspective, acting as the architectural strategist. Additionally, I oversee product models related to anti-money laundering (AML) and engage with various business teams including wealth management, retail banking, marketing, and services banking to showcase how these features can enhance automation.

As a product owner, I also train teams and raise awareness about new technologies that can expand their automation capabilities. It’s essential for me to understand all functionalities and features of the product, especially since we're in the banking and finance sector. We cannot blindly integrate any AML model; compliance and governance are crucial in this field.

I must ensure that any integration is safe and sound, focusing on control perspectives, model training, and handling confidential data with appropriate encryption. I have a team to support these processes and ensure everything adheres to banking standards. My goal is to communicate with the business teams about new technologies, educate them on how these innovations can improve automation, and help them leverage these benefits. That is my primary focus right now.

Automation Anywhere helped our organization for repeated manual work and automate structured/unstructured document use cases

The features of Automation Anywhere are quite impressive. One aspect I particularly appreciate is the integration of AI. AI has reached a mature level in its capability for agentic processes, which greatly enhances product usability and enables adaptation to complex use cases. Traditional RPA is no longer sufficient; it has become outdated in this regard. In my opinion, RPA has been essentially irrelevant for the last two to three years. What we are seeing now is hyperautomation, particularly intelligent automations that have evolved into what I refer to as Agentic Process Automation (APA).

With Agentic Process Automation, we can manage end-to-end processes, particularly where human intervention is necessary. We can streamline these processes by integrating API tasks and obtaining responses from various sources, such as OpenAI. This integration leads to a higher level of accuracy in our systems. At our bank, we are moving away from the notion of traditional RPA and focusing on APA, emphasizing that everything will increasingly rely on APIs. Additionally, we are exploring how to facilitate seamless integration across different products. Our goal is to create a plug-in capability that allows for easy integration not only with RPA products but also with other systems to achieve comprehensive end-to-end automation. This is what we are striving for in our current initiatives.

Their vision is promising, but the product requires significant improvements in maturity and usability. I'm concerned that the product is not user-friendly. They continue to release new features, but end users struggle to adapt to them. This indicates a lagging development in product usability.

From a product maturity perspective, there is an area of improvement. We are currently on-prem, and as we transition to the cloud, there are numerous restrictions from our banking organization that we must consider. When planning to scale the product, I need to understand how it can handle increased bots. For instance, if I start with 1,000 bots and later expand to 1,200 bots, will the platform still be able to support this growth?

Additionally, as we integrate new features such as document automation, Intelligent Document Processing (IDP), and CoPilot capabilities, I need assurance that the current platform can sustain these enhancements. It is essential for Automation Anywhere to improve in these areas so we can effectively increase the scope of automation within the platform.

I have been using this solution for more than seven to eight years.

The stability of the product is quite good, and I am not facing any difficulties presently, though I have concerns as we add new features and hope to work closely with the vendor to address any potential stability issues.

The product is quite scalable from a high availability perspective and even offers seamless scalability in the cloud; however, there is a bit of lag in the on-prem setup which needs improvement, although currently everything is operating smoothly.

From a support perspective, we are quite aligned with the Automation Anywhere team and very happy with their approach. While there may be delays in enhancements, they acknowledge our suggestions and maintain a good relationship over the years.

I used Blue Prism over six or seven years back while working with a major bank in South Africa. At that time, we successfully implemented around 700 bots in production, marking the beginning of our journey into robotic process automation (RPA). After my experience with Blue Prism, I transitioned to Automation Anywhere, where I continued my journey in the U.S. at one of the largest banks—specifically, the third largest bank. We have successfully implemented around 1,000 bots, which are still operational today.

In addition to RPA, I have ventured into the realm of intelligent automation, focusing on providing end-to-end process automation solutions. My role encompasses solution architecture, advisory services, strategy development, and team leadership. I oversee various automation products, including IP products, workflow products, data messaging products, and Excel remediation products, ensuring comprehensive management of the entire process automation landscape.

Regarding pricing, I do not have extensive detail, but it varies based on the agreement with clients. Since we have a good relationship with Automation Anywhere, I do not see much difficulty in licensing costs or flexibility in licensing models compared to other products.

I can recommend Automation Anywhere. If you are considering Automation Anywhere, my advice is to avoid the on-prem setup and instead go for the cloud-based product to leverage more features, better scalability, and high availability, especially noting the lack of device pool limitations in the cloud environment which facilitates parallel bot operation without the restrictions found in the on-prem setup.

I would rate Automation Anywhere an eight out of ten.

At our organization, our primary use case of Automation Anywhere revolves around streamlining the large-scale, repetitive processes across different banking operations, where manual intervention earlier consumed enormous time, effort, and created a higher chance of error.

As one of the top private banks in India, our system handles millions of transactions daily, encompassing a range of services, from retail banking to corporate services, compliance to reporting, loan processing, credit card management, and customer onboarding, among others. Traditionally, many of these tasks were highly manual and involved a large back-office operation team that manually verified data, reconciled ledgers, prepared compliance reports, processed customer KYC documents, and handled various other service requests. This is where we thought of having one RPA tool and implemented Automation Anywhere as a robotic processing automation solution for us to automate repetitive, rule-based, and high-volume processes.

One of the biggest use cases is KYC and customer onboarding, where bots can now automatically scan, validate, and update the customer document and compliance with our regulatory bodies, drastically reducing the manual handling. Similarly, in loan processing, bots can extract data from customer applications, check it against the credit policy, and route only the exceptions for manual review. In payment and reconciliation, bots automatically match thousands of daily transactions between internal ledgers, payment gateways, and external clearing systems, ensuring accuracy and freeing staff to handle only exceptional cases.

Another critical case is regulatory reporting, where Automation Anywhere bots compile data from multiple core banking systems and format it according to the regulatory template, submitting reports accurately and on time. This was once a massive pain point during audits and is now done seamlessly. Fraud monitoring is also a very important use case where bots scan thousands of transactions in nearly real-time, looking for anomalies such as unusual withdrawal patterns, sudden overseas card usage, or duplicate transactions. While final decision and escalation still rest with our risk team, the bots act as the first line of defense for us, flagging suspicious transactions or activities instantly.

Our primary use case is not limited to a single department; rather, it involves removing inefficiencies from various business lines where repetitive, high-volume, rule-driven tasks exist, making the tool a backbone for our digital transformation strategy. To put it simply, if we had hundreds of people handling these processes in a day earlier, with automation bots, we now need only around ten to twenty people to handle the exceptions. This reflects the essence of our use case: scaling operational efficiency by combining human judgment with the speed and accuracy of robotics.

What I appreciate most about Automation Anywhere is how it transformed the repetitive, manual, and error-prone banking processes into a smooth, automated workflow that saves time, reduces human error, and gives the team space to focus on meaningful tasks. In a large organization where thousands of transactions and operational requests flow in daily, the platform's ability to handle scale with accuracy is truly remarkable.

My favorite aspect is the flexibility and breadth of the automation possibilities, from simple tasks such as data entry, reconciliation, report generation, to highly complex workflows involving compliance checks and fraud detection triggers, and integration across multiple systems. The bots work round the clock, ensuring faster turnaround time and consistency, something no human team could match without fatigue.

I also value that the platform comes with pre-built commands, reusable components, and AI/ML integration, making it easier to tackle complex tasks without reinventing the wheel. Another highlight is its strong governance and security features, which are very important for organizations given how critical data protection and compliance are in banking. The granular control, audit logs, and encryption mechanisms provide peace of mind that automation is safe, compliant, and transparent. The visual interface and dashboard provide real-time monitoring and performance tracking, helping leadership quickly see the ROI and efficiency gains.

There are certain areas where improvements would make a significant difference in Automation Anywhere. One area that could be better is the user interface and the overall user experience. Business users who are not deeply technical on the platform sometimes feel overwhelmed with too many menus, options, and configurations. Although the idea is to make automation accessible to both IT and business teams, the learning curve is still steeper than expected, and more intuitive drag and drop, plug and play simplicity would speed up adoption across non-technical departments.

Another area needing improvement is bot maintenance and troubleshooting. While building bots is relatively straightforward, keeping them running smoothly in a dynamic banking environment where system updates, application changes, or small UI tweaks happen frequently can cause bots to break. When this happens, the troubleshooting process is not always as seamless as it should be.

On the scalability side, while the platform handles large-scale deployment effectively, the infrastructure requirements and licensing model can get expensive as the number of bots and processes grows. In a cost-sensitive industry like banking, where automation needs to prove clear ROI, a more flexible pricing structure would assist organizations in expanding automation more aggressively without feeling constrained by budget considerations.

We implemented Automation Anywhere around 2018 and 2019, through our digital transformation journey. We have been using it actively for over five years now.

The stability is good overall. Once the bots are built and tested, they perform consistently. However, stability issues arise when the core system undergoes upgrades or when workflow changes occur. Proper governance, version control, and a bot maintenance team are essential to ensure uninterrupted functioning. I would rate it eight out of ten.

It scales very effectively. From a handful of bots, we expanded to hundreds across different departments. The centralized control room allows us to orchestrate and manage bots seamlessly. Scalability-wise, it has not been an issue; the challenge is more on governance and prioritizing processes for automation. I would rate it eight out of ten.

The customer support is always responsive, but sometimes resolution time is longer than expected, especially for technical escalations. The local partner ecosystem in India is strong, and we have benefited from their expertise. I would rate it 7.5 or eight out of ten.

The initial setup required effort, especially for integrating with legacy banking systems. However, Automation Anywhere provided good documentation and local support, which made the process manageable.

Implementation was done jointly by our internal digital transformation team and the Automation Anywhere partner vendor, who played a key role in bot deployment and training our team.

The return on investment from Automation Anywhere at our organization has been both tangible and intangible, delivering value far beyond the initial financial calculation. From a direct standpoint, the biggest gain has been cost savings and operational efficiency. Processes that earlier took hours of manual effort are now executed in minutes, translating into a massive reduction in man-hours and labor costs.

With bots handling these tasks, we have freed up thousands of hours each month, allowing employees to shift focus to higher-value work, such as customer relationship building, assessments, and further innovations. Manual processes, regardless of how well-trained the staff, are prone to mistakes, particularly with repetitive data entry. Automation Anywhere has minimized this risk, saving costs related to rectification and improving compliance adherence to avoid penalties in a tightly regulated industry.

Beyond direct savings, there is a significant impact on speed and customer experience. Faster turnaround times for services such as loan approval, account onboarding, or transaction reconciliation improve customer satisfaction, which indirectly translates into better retention and higher revenue opportunities. Thus, Automation Anywhere's value cannot be measured solely in the money saved, but in the holistic transformation it has brought, which reduces costs, minimizes errors, speeds up services, improves compliance, enhances TAT, and results in happier employees and customers.

The pricing is a bit on the higher side compared to competitors. The bot-based or user-based licensing model can become expensive as automation expands, but the ROI justifies the investment in the long run.

While choosing this tool, we compared Automation Anywhere with other competitors such as UIPath and Blue Prism during our shortlisting period, before 2018 and 2019. Automation Anywhere has been a game changer in our digital transformation as it improved efficiency, cost, and compliance, which is a unique proposition that comes together with Automation Anywhere. Other solutions provide automation but are not as strong on the compliance side, where Automation Anywhere has the upper hand.

We are a customer who integrated ServiceNow seamlessly and feasibly. I estimate around 30% to 40% integration. We have not used Co-Pilot in Automation Anywhere as it was fully deployed. We are on a multi-cloud setup, specifically using AWS and Azure. We have a team of around 15 to 20 people managing Automation Anywhere, comprising business, IT, and vendor personnel. I would definitely recommend Automation Anywhere.

However, I would advise organizations to start small with a clear use case, establish strong governance for bot management, involve business, IT, and operations teams collaboratively, and plan for continuous monitoring and improvement, which is crucial for deployment.

My overall rating for Automation Anywhere is nine out of ten.

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.