Automation Anywhere Reviews

The main use cases for Automation Anywhere are document reading, document digitization, document management, and customer support. Document automation is the primary use case, followed by customer service.

In insurance, there are numerous documents that customers must upload, including their financial records, medical history, identity verification, and KYC information. The accuracy of document processing drives critical business decisions, such as claims processing and policy servicing. This is the most important use case for our organization.

Automation Anywhere has improved the efficiency, speed, response time, and accuracy in all of these processes while helping us avoid human errors.

Our response time for customer service and support has improved tremendously. Our first-time resolution rates and overall resolution rates have improved significantly.

Our response time has improved, and customer experience has improved with Automation Anywhere. The ROI is more from a customer experience perspective than from direct financial returns. However, these benefits work together because we are able to improve our retention and upsell and cross-sell to customers due to the better customer experience.

The initial setup for Automation Anywhere is something that can be improved. The starting process has been reported to have some challenges. I have heard that the initial deployment and onboarding process was somewhat difficult, but once things stabilized, the experience became excellent.

I have been using Automation Anywhere for the last year since I have been in this role.

I am not using AI Agent Studio; I am using the customer service support feature.

The biggest challenge for using Automation Anywhere is scale. Large companies have enormous transaction volumes. Using only human agents for customer support means we cannot keep adding headcount or capacity. To scale up, we need AI and Agentic AI solutions that can operate almost like a human being without the incremental costs that come from employing more personnel.

Document automation is the primary use case, followed by customer service.

Our response time for customer service and support has improved tremendously. Our first-time resolution rates and resolution rates have improved significantly.

We had OCR solutions that we were using before adopting Automation Anywhere, but they were not as efficient. We had some in-house solutions, but they were not as accurate and they were taking considerable time and compute capacity. We decided to switch to a third-party solution.

The initial setup for Automation Anywhere is something that can be improved. The starting process has been reported to have some challenges by my peers who have been around since it was onboarded.

The initial deployment and onboarding process was somewhat difficult, but once things stabilized, the experience became excellent.

Our response time has improved, and customer experience has improved with Automation Anywhere. The ROI is more from a customer experience perspective than from direct financial returns. However, these benefits work together because we are able to improve our retention and upsell and cross-sell to customers due to the better customer experience.

The API helped me achieve those goals absolutely.

We have had a very good experience with Automation Anywhere and we are very happy with the solutions. They are helping us stay within the compliance and regulatory norms, and I hope that will continue in the future.

AI governance is very important in my organization because insurance is a strongly regulated industry. We have many guidelines and government regulations to follow, especially regarding customer data and customer information. From that standpoint, it is a very important aspect of the overall solution.

Document automation is the primary use case, followed by customer service. I would rate this review as a 9 out of 10.

I am a customer of Automation Anywhere and I work in a company where we use Automation Anywhere.

My usual use cases for Automation Anywhere involve managing our inspections for customers, as I'm in a company where we deal with safety issues and safety solutions. So, we have customers and we had a problem to manage their inspections. Initially, we used a traditional way using spreadsheets to manually track those inspections and track the safety equipment, for example, fire extinguishers. It was slow, and actually, often, we could get mistakes. For example, some inspections could be delayed. Sometimes we could miss them. Customers could even miss the reminders because we used a traditional way using spreadsheets. Our staff and employees could spend a lot of time processing this data, maybe updating files, maybe processing inspection reports, all done manually. We had to come on board and see how we can fix that, so we opted for an automation software and decided to go with Automation Anywhere. Specifically for us, we set up a bot with a feature called Control Room where we set bots and workflows. We connected it to our database, the email systems, and also the connectors, mainly with Salesforce. After that, we set up the rules for when inspections should happen and what action these bots are going to take. These bots now check the system. For example, if it finds equipment due for inspection, it can create automatically a service request for a client and send reminders saying "Please, next week, your inspection is due." After the inspection, the bots collect the report, update our records, and even generate invoices to our clients. That is how we use Automation Anywhere.

The most valuable features of Automation Anywhere that I have found are the Control Room for bots, which I really appreciate, and Copilot. I appreciate Automation Anywhere because it is scalable; I have worked with software such as SAS and have not found a software where you can scale it up without redesigning the process and the setup process. Another thing I appreciate is that it has reduced our manual work, handling repetitive tasks such as data entry, reporting, and reminders for us.

The flexibility of Automation Anywhere's truly universal orchestration in integrating with different systems and models has been great for us. Because we are new to the mission tools, we had our data scattered; for instance, our data is in Salesforce and Oracle Analytics. Automation Anywhere has smooth integration with those apps, and we are very fortunate that about ninety percent of our apps are supported, integrating particularly well with Salesforce, where our client data and service requests are managed.

I think Automation Anywhere could be improved by addressing the learning curve, as it is a little complex to start using it, especially for people new to automation tools. I recommend creating more documentation and tutorials, possibly on YouTube, showing how to set up bots and rules. We had a problem at the beginning, but it was later fixed by the technical support team; initially, the bots made correct decisions, but then, at times, a bot would trigger two service requests for a customer or miss an inspection that was due. That is where I think improvements could be made.

I have been using Automation Anywhere for the past nine months.

I assess Automation Anywhere as good and stable.

I find centralized governance across agents and assistants beneficial for maintaining consistency and compliance because it allows us to see all the workflows and how the bot processes work. For example, it shows how bots get data from app connectors, how they connect to client emails, and how they trigger alerts, such as "Hey, today at this time, your inspection is going to be done." I really appreciate how it is centralized in a way that it provides room for managing all our bots; initially, we had one bot handling service requests, and now we have around eight bots that we can monitor all at once.

My experience with communicating with the technical support of Automation Anywhere has been very positive. We had a lot of contact during the setup process, and it was helpful and responsive. If I were to give it a rating, I would say nine out of ten because we encountered issues, such as bots missing inspections and triggering two service requests, and the support helped us set up the rules and workflows for bots. It has been responsive and helpful.

Before Automation Anywhere, we evaluated other options; we were between Automation Anywhere and UIPath and also considered Microsoft Power Automate. During our selection process, UIPath was also a strong competitor.

I chose Automation Anywhere because it aligns well with our governance needs; the Control Room provides synchronized management, unlike UIPath. It is good at role-based access control, allowing us to set who can see and manage specific functions. Given the compliance requirements of our industry, Automation Anywhere was a better choice compared to UIPath.

From my perspective, the initial setup process was a bit simple because we were about to set it up, especially since the technical support team helped us greatly. We integrated our customer database and email system by connecting using app connectors such as Salesforce, Zoho Analytics, and Zoho Mail. After that, we started designing workflows, determining when bots should trigger actions based on connected data. Our first bot was set up for service requests, and generally, the setup was straightforward, particularly because of the assistance from the technical support team, especially in mitigating initial issues.

From my perspective, while Automation Anywhere is not the cheapest tool, it is cost-effective because the processes that Automation Anywhere automates can be handled by multiple employees, eliminating the need to hire more headcounts.

I am not familiar with Automation Anywhere's deterministic and agentic blended execution feature.

For AI projects, we do not use Automation Anywhere, but the only AI we experience is with Copilot. Copilot helps us in initial setup; instead of building everything manually, we can describe processes in plain English, and Copilot suggests workflows that align with our business. It now even recommends improvements for bots and helps explain processes to new hires. We use Automation Anywhere primarily to automate our inspection work processes.

I participated in the initial setup of Automation Anywhere.

I would rate Automation Anywhere nine out of ten.

I have been using Automation Anywhere for several years now. Overall, I have been working in my current field for about a decade.

Automation Co-Pilot, which was previously known as AARI, enhances workflow efficiency, and I use it regularly. Automation Co-Pilot has helped free up my people to work on other projects, saving us a lot of time. Automation Anywhere integrates well into our existing workflows, APIs, and business applications.

There are still some areas lacking enhancements in Automation Anywhere, and they can improve in integration capabilities. Nothing is perfect, and I would like to see them add better AI integrations in future releases. They can definitely do better by addressing the integration with other software.

Regarding AI integrations with Claude and Gemini, they need to ensure robust security measures alongside these advancements. Currently, there are some vulnerabilities in security that need attention in Automation Anywhere. I require them to enhance their security protocols for better data protection. I would like to see better security from Automation Anywhere.

I have been using Automation Anywhere for several years now.

Stability is generally good, with occasional lagging that we can manage.

Automation Anywhere is highly scalable and adapts well to growing needs.

I have not contacted the technical support or customer support for Automation Anywhere.

I have used some alternatives that provide similar functionalities as Automation Anywhere.

The initial deployment of Automation Anywhere was relatively easy for my team.

For this deployment, we needed a small team of about three people, as it is not a one-person task. It took my team about three weeks to fully deploy Automation Anywhere in our company.

I spend about two hours a week maintaining bots for Automation Anywhere.

The pricing for Automation Anywhere is competitive, but it varies based on the features and services selected.

I have tried upgrading Automation Anywhere, and it was a smooth process.

If anyone is looking for an efficient automation tool, I definitely recommend Automation Anywhere because it is very helpful, even for non-technical people. Training non-technical employees on how to use Automation Anywhere takes about a day. After all of that, it does require some ongoing maintenance on our end. I would rate this product an 8 out of 10.

Our main use cases involve automating finance-related bots, specifically finance invoices, intercompany receivables, and manual entries. All those types of bots we are automating.

The main automation we have built is for the finance team, which was receiving around 500 to 600 requests for manual general entries. For those entries, there was a particular request they used to get from the user, and then they had to validate that request before posting it in SAP and attaching the document in SAP, followed by communicating details of that request with the stakeholders. This was a time-consuming and repetitive task, so we built an end-to-end automation bot that monitors Outlook emails, monitors the shared mailbox, takes and validates the request, the user, and the attachment. Once that is done, it posts the document in SAP and sends a successful mail to the user. If there is any failure, the bot also sends the particular error message to the user to eliminate any communication gap between the user and the bot. This basically eliminates all the manual efforts of the users and increases the efficiency of the task process.

We are about to use Agentic Process Automation; we are currently using it for a particular region and expanding that bot to other regions as well, alongside using it for Agentic Automation.

My experience with Automation Anywhere is quite good because we can automate the whole end-to-end process with no human intervention. The main focus is that we are able to focus on higher-value activities rather than working on the same repetitive tasks, which is quite important and gives the highest impact to the business as well.

The main automation we have built for the finance team eliminates all the manual efforts of the users and increases the efficiency of the task process. We are able to focus on higher-value activities.

Currently, while working on the SAP part, I encounter some challenges, particularly not being able to extract the tree structure. There are some tree structures we are unable to extract, so we are finding difficulties with those objects in SAP. I think the SAP part can be improved.

I have been using Automation Anywhere for around 3.8 years to build end-to-end automation RPA bots.

Sometimes Automation Anywhere recorders might fail, and there could be package issues. I have faced those issues, but not major ones—just minor ones that I was able to resolve myself. I received support from Automation Anywhere too, and we used to raise tickets, which helped a lot, with hours spent solving the issues over a call.

In terms of Document Automation, I am not using it in the current organization, but I have used it previously for the invoicing process. It used to capture documents in PDF format, extracting data from tables, including quantities of the invoices and the final amounts, and sent the mail to the business user. For Document Automation, we used to get around 15 to 20 requests monthly for documents, saving about 10 minutes per document, which amounts to a 40% efficiency saving.

I would rate this solution with a score of 8 out of 10.

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.

Positive

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.

We have been working on multiple use cases with Automation Anywhere, but majorly it revolves around order management, where we do a lot of sales order processing and invoice processing because it gives us a lot of scalability across the globe for the industry we are operating in, making that our biggest use case.

I consider multiple features of Automation Anywhere to be valuable, particularly the RPA automation feature that we use to automate all the deterministic processes we've discussed, which I think is the most valuable one, and as we move into more AI and agentic space, there are some new features being introduced that I believe will be even more valuable.

The productivity benefit is the foremost advantage we gain from Automation Anywhere, as automating mundane tasks allows the business to focus more on human judgment-related processes and activities, which I think constitutes the biggest benefit we provide to the organization, along with several soft benefits such as compliance and regulatory support that come from these automations across different business functions.

For any tool, we have to consider that the evolving AI space is rapidly changing, and I believe Automation Anywhere can enhance its offerings to keep pace with developments in the AI sector, which presents a lot of room for improvements, but overall it is working well for us.

I'm Jitesh Mittal, working in the healthcare industry as a delivery lead for the automation and enterprise AI team, and we have been using Automation Anywhere for the last six to seven years.

Automation Anywhere has proven reliable for us over the last six to seven years, particularly for the deterministic automation we've implemented, although reliability also hinges on the dependability of the underlying applications and data; if those are not reliable, no tool can significantly help.

While automating deterministic processes at Automation Anywhere, we often encounter fragmentation across multiple applications, but the integration with these enterprise applications has been seamless, and as we venture into agentic automation, we also consider security measures diligently, ensuring that every defined persona has appropriate access to the necessary enterprise applications and adheres to data security standards.

Customer service and support from Automation Anywhere have been quite good for us as a Gold partner; we benefit from weekly meetings where we discuss issues and new features emerging in the market, which enhances our overall experience with the platform. On a scale of 1 to 10, I would rate the customer service at a nine.

We have definitely utilized the deterministic feature of Automation Anywhere, while the agentic feature is something we are still exploring, even though we have other multiple tools in our ecosystem, so we are indeed exploring this aspect of Automation Anywhere.

The deterministic automations have provided us with substantial productivity benefits across the organization, and as we aim to combine them with agentic features, we believe that we will be able to pursue end-to-end processes with human involvement, which will definitely enhance our advantages.

The use cases we're working on and the deterministic automations implemented so far have given us a great productivity boost in various functional areas across the globe, which has significantly helped the organization, and as we evolve towards more agentic and AI features from Automation Anywhere, these will further assist us in achieving end-to-end process automation rather than just peripheral automations.

When we began utilizing Automation Anywhere RPA about 10 years ago, the controls to prevent infinite loops and retries were not as mature, but over time we've seen these practices mature, with the tool itself now guiding us on best practices, and we are leveraging exception-handling mechanisms to prevent vulnerabilities that could lead to infinite loops or other security issues during production grade.

The features showcased at the Imagine event are promising, as we are delving into the AI and agentic AI realms, which are already crucial in today's environment; if these can be made generally available for customers to use in their processes at a faster pace, I believe that would greatly enhance Automation Anywhere's offering. I would rate this review overall at eight out of ten.

My main use cases for Automation Anywhere involve all kinds of automation, primarily in the healthcare industry, where I use most of the features for invoice-related tasks and the reconciliation part, involving multiple applications like SAP, GetPaid, and many others.

I use the Automation Anywhere COE, and I am part of an RPA COE, which is a subset of an IAE COE, where I currently serve as a team member of the RPA COE team.

The impact and visibility of the automation life cycle, in my experience with Automation Anywhere, is quite straightforward, as it has eliminated the complexities that existed at the beginning. Most of the automation life cycle can now be managed within the platform itself, including monitoring and debugging, and I see the product improving continuously. Document Understanding, previously known as IQ Bot and now rebranded as Document Processing, has made extracting data from invoices much easier and significantly reduced challenges.

In my opinion, there are always areas for improvement in Automation Anywhere, and they are continuously working on enhancements. At each of these Imaginate events, they introduce new features, and currently, I believe more AI capabilities and solutions for securing enterprise-specific data are needed, as certain industries prefer to keep their data private rather than sharing it with third-party LLMs.

I have been using Automation Anywhere for five years.

My experience with deployment has been very smooth so far. I have not encountered many issues, and whenever we deploy something to production, things typically go smoothly, thanks to their support team being readily available to assist with any problems by allowing us to raise tickets with Automation Anywhere support.

Before adopting Automation Anywhere, I used several other solutions, including platforms like Power Automate and UiPath, as well as various Python solutions and VBA macros. Our primary platform for building automation remains Automation Anywhere.

The main reasons for choosing Automation Anywhere include the ease of building end-to-end processes and the effective monitoring systems that they provide, which have established governance and oversight for executions.

The time savings from using Document Automation are substantial. Previously, a team of about five to ten people managed specific processes end-to-end, such as processing fourteen thousand entries in a month, but after automation, that entire process is streamlined, saving us a lot of FTEs.

If I had to quantify that in percentage terms, I would say we have saved almost seventy percent of the time, although some manual intervention is still necessary for certain edge cases that the bot cannot handle.

The main challenges and objectives that I try to solve with Agentic Process Automation include certain automations requiring decision-making, which previously relied on human participation, but right now we leverage Agentic AI with LLMs to get outputs that serve as inputs for the remaining automation tasks.

In the age of Agentic AI, the biggest challenge for my organization is data security, as we use third-party LLMs or models for outputs. However, at the Imaginate event, they showcased in-house LLMs and models that cater specifically to enterprise needs, which I believe will solve our data security issues.

API helps me achieve my automation goals because, moving forward, most tasks are trending toward being API-based. Previously, we relied on RPA and rule-based methods, but now we are shifting towards APIs that incorporate decision-making, and I see APIs becoming crucial.

I am not currently utilizing the AI Agent Studio for my automation processes, but we are gradually moving in that direction by building AI skills and employing various models, so we will eventually develop something end-to-end.

My impression of the AI Governance feature is that it is great and has showcased a lot of potential benefits for organizations, making it easier for leadership to access and visualize everything through a dashboard.

I do not use the Autopilot capabilities of Automator AI at this time.

I have not yet used the cloud-based nature of Automation Anywhere COE Manager in managing my automation pipeline, so I cannot comment on that.

We primarily use Azure for our cloud services because we do not have AWS in our system. I would rate this review an eight 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.

I work in an automation Center of Excellence in health care, and I utilize it for everything and anything that is appropriate in health care. We have approximately 41,000 hours worth of automation that operates and handles tasks ranging from assisting with HR operations, such as leave of absence, to medication monitoring and much more. Our portfolio is quite expanded.

We are also jumping into the Co-Pilot world because we want to start embedding it into Teams, SailPoint, and some of the other tools. 

We are also looking at a unique use case. We have discharges, and there are certain types of prescriptions that are just extremely specialized as part of discharge. We have medication contracts. One of the things that we have going on in our organization is a buddy system and then an official request. The buddy system is essentially prescription denial appeals. We would like to use AI to search our contracts to figure out what is the standard for these medications and what are the denials and appeals that we can have prewritten and ready to go.

It was a response to COVID that prompted us to dive into scalable tools. We needed scalability and the ability to perform 10,000 or 1,000 or 200 tasks at any moment. No other software that we have had could provide such scalability and is built in a modular way.

It is unique and almost invisible. You do not realize its impact until you discuss it with users who provide positive feedback. We build automation, support it, and deploy it. When we meet with our users later, they have such good feedback about how impactful these things are to their path. For a nurse, not having to repeat a task 10,000 times has made a significant difference. Especially during COVID, it was truly helpful on the front line. Now, I also employ it with other powerful medication tools.

I was personally able to see its benefits as soon as I jumped into software. It was one of the most impactful and amazing tools for my day-to-day life because, at any point in time, I could design something, modularly build it, and deploy it. It can handle such amazing tasks, including things like templates and design and all other materials that we have for communications or activities, and produce them for me automatically. For me, personally, it made a huge impact right from the get-go, but as an organization, we definitely had to learn how to make choices on our use cases.

It has absolutely saved us time and costs. The whole point of the software is to develop something that at least on a use case basis provides value. We have many years of learning how to do our program. Over time, we have also been using it for other things, such as compliance. We have definitely evolved from just saving time or money to using this solution for everything we can use it for.

I have just built my first Co-Pilot, and it is significant in how that part functions. I am also exploring the API task tools, which appear to be quite significant, but for the most part, the forms and the capability to integrate data from other software represent the specialty.

One thing I learned with Co-Pilot is that it is very static. For instance, when dealing with tables and their headers, I must program them in a form. If my build changes, I have to return to my form and update the table titles. Features like looping are missing from Co-Pilot. If I want to perform a task five times in a row, I have to rerun Co-Pilot five times just to achieve that. This is an aspect I considered as I explored possible changes and improvements. Other than that, it is among the best software tools and organizations I have worked with. I find it challenging to suggest much beyond continuing the good work and expanding on it.

I first heard about it back in 2021. This will be my fourth year using it.

I had an issue lasting for the better part of three years, and it was quite severe. I never lodged a ticket because whenever we attempted to resolve it internally, the problem temporarily ceased. Each time I ran my Digital Colleagues, I encountered a strange error on my screen, which persisted for a couple of years. However, an update corrected it, and it is no longer an issue. 

The only current challenge involves a discrepancy in table columns. In my support session, we could not figure out why my table was off by one column. I had to have a blank column zero for my table to align correctly. These minor issues aside, the tool now functions more stably. 

Previously, inconsistent search behavior occurred in the ServiceNow search bar. It was puzzling because it worked differently every single time that we searched in that search bar, but that issue has been resolved.

Scalability is the most remarkable feature of this tool for me. For example, we have a recognition system for automation. I designed a template for various achievements by citizen developers, such as completing a class or build. At first, it was not a big deal to just do it yourself because you are only doing a handful of templates, but the last round had 34. Initially, creating a few templates was manageable. With time, however, it escalated from 5 templates to 34. We are now using this tool multiple times weekly for template generation. Eventually, I aim to release it to the entire automation team so that leaders can readily recognize achievements based on team activities. 

Scalability is impressive; whether handling five or a hundred million templates, it remains easy to design and build. The tool's intuitive nature contrasts with other tools, which are less intuitive for building and scaling, explaining my infrequent use of them.

I have contacted their support for technical issues with the software as well as personal build support.

The response is very quick. Within a couple of days, they are communicating and establishing connections to set up solutions. In my case, I meet with my customer relations every Friday. We get prompt responses to any issues I raise. The support is fantastic, even when dealing with complex situations due to the complexity of some of my builds. While not all problems are solved immediately, this is typical for complex tasks.

I very recently had one of the best support help sessions that anyone could have ever asked for. We were doing something really complex in Co-Pilot, and it was something that was completely unique to even our internal development team. They helped me solve that, and they did it in such a great way. It was a ten out of ten for connecting to someone, taking the time, and doing all of the work. However, we have also had some support tickets in the past that have been just okay. It has been a mixed bag on that front. I would rate them an eight out of ten because they do try hard to connect and support us even though we are doing some complex work.

Positive

This predates my time, so I am not fully sure. I do know Microsoft automations were used before transitioning to Automation Anywhere. Selecting a vendor was a part of the process when we started the program, and Automation Anywhere was chosen.

The decision for the software had already been made. I was only involved in meetings to discuss how we were going to deploy programs, design things, and create standards. 

I believe it took six months from deciding to go live with the software to deploying automations. It did not exceed six months to get everything up and running, though there might have been a year of planning. Once I was set for launch with everything in place, the transition from purchased to used tenants happened swiftly, possibly in less than six months.

Initially, I used strategic resourcing for implementation. At the time, I had an engineer, a technical lead, a technical developer, and an architect—four individuals in total—who implemented all my environments. Four environments were set up, following designs, standards, and rules. This setup involved comprehensive program design, focusing on transitioning and using different control rooms and establishing standards.

We support the entire tool, and we support the automations which require lots of maintenance and support. That is only due to user design or systems changes or some of the elements that are out there. We have a whole support program that goes along with our automations. As for the tool itself, it is just like any other software tool. It is certainly more stable than something like Microsoft where you constantly have to go back and correct issues or incidents. Our incidents are with bots, not with the software.

My job involves citizen development. I work in the field of helping people connect to this technology and use it. In terms of ease of use, the software is not hard to use, but things are presented to users in a new way than what they are used to. I had to make people start with basic programs and learn how to do a simple process. It is a little bit of an advanced tool. It is easy to understand for me and I love it, but it is definitely a step above entry. Before I instituted an entry course, the learning curve was a little bit steeper. We would have individuals coming to our four-day course and then come through and do lots of support. When we taught them the basics of how the automation software works and then brought them into this advanced tool, it was very quick for them. Our results were much better, and we have those individuals building regularly.

In terms of integration, what was interesting to learn was that everything requires a configuration. For an organization like ours, it involved figuring out how we should branch, how we should grow, and how we should engage other teams to get those configurations implemented so that packages will work as intended. That was an interesting learning curve for us. We had to adjust how we train, talk about packages, and use the software to make sure that we had the right integrations and setups. A great example is ServiceNow. They have the packages for ServiceNow built in. If you have all the access to the information and all the things you need, you are in good shape to have some really awesome automation. If one of those pieces is not in place, you have to think a little bit about how you are going to access that.

Automation Anywhere is a ten out of ten. The company is impressive, especially with its new initiatives like Agentic AI. In five years, it is going to be amazing to witness their advancements, particularly as AI continues to play a significant role.