Automation Anywhere Reviews

My use case for Automation Anywhere is primarily focused on SAP monitoring and making some business activity changes within SAP business activities.

If I compare Automation Anywhere and SAP ERP, my opinion based on my experience is that it is very specific to use cases. My use cases are very specific to SAP because I work in an SAP environment. SAP ERP is a better solution for me considering my use cases are more aligned with SAP. However, if you consider the broader market, there are multiple aspects where Automation Anywhere can be better than SAP ERP, considering its use cases for non-SAP systems.

Specifically, the development studio is very useful for me in Automation Anywhere. The second thing is the deployment, which makes it easy for deploying and using the automation with the availability of the platform.

The main benefits Automation Anywhere provides for me divide into multiple aspects. If we are talking about taking the requirement and all, there are some pre-built solutions available from the marketplace which you can use. The understanding of the tool and utilizing it for the purpose allows you to use the template directly and build your own solution. The execution or the orchestration part of it is very good. All these aspects come together when considering the benefits of the tools.

For the challenges with Automation Anywhere, I will give some examples. SAP IRPA directly has connectivity, but if I need to build the same board from Automation Anywhere, the connectivity will come as an extra additional task to be done with drivers and connections. Although Automation Anywhere has the capability to automate those things, you need to go that extra mile to cope with that for developing that automation and connecting those systems. Since it is not an in-house solution for ERP systems or CRM systems, automating those things requires additional effort. The automation can be done, but it is not directly connected. You have to build an extra connection for that. Considering those aspects, those are the difficulties I could identify, but it is not a showstopper.

Direct plugins to connect to multiple systems, if those can be added into it, would be an improvement. There are multiple ready-built plugins available, but there are still some loose points where I need to bring certain things. I do not know whether it has been added in the last seven months, but till the time I was using it, it was not there. If AI solutions such as Copilot or OpenAI solutions can be readily plugged into Automation Anywhere to build a code around it, then it will help. Those improvements can be added to the tool.

I have been working with Automation Anywhere for six years.

For stability, I could give it a nine out of ten. The plugins require that extra mile, and sometimes they might get broken considering that the solution might get broken in between.

I would give Automation Anywhere a ten out of ten for scalability and the ability to expand.

Regarding technical support for Automation Anywhere, I could give it a ten out of ten. I have not reached out to the support group at all. The tool itself is self-sufficient to fix all the things.

I was using GitHub Copilot for that, so I did not use or our organization itself was not using Automation Anywhere Copilot. The integration is with GitHub, which is why we are using a different tool.

The initial setup process for Automation Anywhere is very simple.

We do have a separate team for maintenance for Automation Anywhere. I am the only developer. There are altogether different teams who do the maintenance, the orchestration, and monitoring of the solution execution.

The answer to ROI comes with certain bracket values, meaning it is totally dependent on the use cases you use in Automation Anywhere. You need to understand the ROI of that particular automation solution when developing it. If it really values the development and the use cases, I will give an example. If it is monitoring stuff and there are five people onboarded for monitoring your systems, it is worth developing an automation on Automation Anywhere and making it automated for completing that monitoring report and sending it over email. You can remove those five resources, which counts as ROI for that. The ROI will be very high, considering ninety percent. However, when you go with any business case for which one person is deploying and that use case has been executed only once a year, there is no point. Even though you can automate, it does not consider value-for-money automation if it is executing only once a year. It totally depends on the use case. In a nutshell, if I am talking about this rate, it will be value for money considering the larger aspect and the solution available on the marketplace.

I did not purchase the license directly from Automation Anywhere. My organization handles this and took a call to obtain it for me. I am the user. I do not know whether it is through a third party or direct from Automation Anywhere, but I believe it is direct.

The main competitors in the market are two. One is UiPath. Another is SAP IRPA.

Working with Automation Anywhere is quite technical. When you have a business person who holds technical knowledge, they will find it easy. However, if there is a non-technical person who does not know anything about the technology and they are only business drivers, they will find it very difficult due to technical terms that need to be understood to operate it. I will not count this only on Automation Anywhere; I count it on any RPA tool in the market.

Automation Anywhere has its own tutorials, which you can do to help. However, when we talk about business persons, if any solution which is built on Automation Anywhere is very easy to use. However, if you are talking about using Automation Anywhere itself for business persons, it is very difficult for them considering they need to understand the technical terms. Regarding the training, it has its own tutorials and training programs in which they can participate and learn. There are multiple platforms also available. For example, on Udemy, they can get their hands dirty with some training and training systems, and they can use it.

The main benefits Automation Anywhere provides for me divide into multiple aspects. If we are talking about taking the requirement and all, there are some pre-built solutions available from the marketplace which you can use. The understanding of the tool and utilizing it for the purpose allows you to use the template directly and build your own solution. The execution or the orchestration part of it is very good. All these aspects come together when considering the benefits of the tools.

All RPA tools used in the market have similar features and aspects that can be developed. However, specifically for Automation Anywhere, the ready-to-use templates which can be used as plug and play are a great feature. You just need to build a solution around it. This is a very good feature that saves time to build a bot or build any automation to get it business-ready or go live easily considering the other automation tools. That is the major aspect I can find in Automation Anywhere. I would rate this review a nine out of ten overall.

My primary use case is focused on automating financial processes—specifically accounts payable (AP) and accounts receivable (AR)—through document automation. We receive a large volume of emails and invoices daily, and my goal is to leverage Automation Anywhere’s intelligent document processing capabilities to streamline the extraction, validation, and processing of this information.

Our environment includes a Windows-based infrastructure with Automation Anywhere integrated into email systems (e.g., Outlook), ERP platforms like SAP or Oracle, and document storage systems. I’m particularly excited to implement IQ Bot and Document Automation to intelligently capture and extract data from structured and semi-structured documents like invoices, remittance advices, and payment confirmations.

We plan to orchestrate these bots using the Control Room for scheduling, monitoring, and exception handling, aiming to reduce manual workload, improve accuracy, and shorten processing cycles in both AP and AR functions.

Automation Anywhere has significantly improved our organization by automating repetitive, manual tasks that previously consumed valuable employee time. Specifically, in our accounts payable and accounts receivable processes, it has streamlined invoice and email processing, reducing errors and accelerating turnaround times.

With Automation Anywhere, we’ve gained:

• Increased efficiency: Bots handle high-volume, rule-based tasks quickly and accurately, freeing our staff to focus on higher-value activities.

• Improved accuracy: Automation minimizes human errors in data entry and validation, enhancing overall data quality.

• Better visibility and control: The Control Room dashboards provide real-time monitoring of bot performance, enabling proactive management and faster issue resolution.

• Scalability: The platform has allowed us to scale automation across multiple departments smoothly without a proportional increase in headcount or operational costs.

Overall, Automation Anywhere has helped us optimize workflows, improve process reliability, and increase operational agility—making a tangible impact on our productivity and service delivery.

One of the most valuable aspects of Automation Anywhere is its intuitive user interface, especially across the main dashboards and the Control Room. From a non-technical user’s perspective, the platform is user-friendly—scheduling, managing, and monitoring bots is simple and does not require deep technical expertise. It’s easy to navigate and provides clear visibility into the bot lifecycle.

Another standout feature is the dashboard and reporting capabilities. I rely on the run reports and visual dashboards to track how many automations have completed successfully versus those that failed. This helps us quickly identify any issues and maintain high operational efficiency. We also find the bot runner utilization insights very helpful—it shows us which runners are used the most and helps us plan better resource allocation.

Additionally, we’re currently preparing to implement APIs into our automation strategy. We’ve seen the demos and are optimistic about integrating API-based automation to expand our use cases and streamline more complex processes. We’re in touch with an Automation Anywhere manager, and our team is coordinating a discussion in the coming weeks to finalize the approach. This will open up more scalable and dynamic automation opportunities for our company.

At this point, I don't see any major limitations in Automation Anywhere. The platform already offers a comprehensive set of tools, including support for third-party integrations like Python, and it meets most of our automation needs out of the box. We’ve found little need to rely on external platforms, which speaks to the solution’s maturity.

However, as we begin testing API integrations, we may uncover opportunities for further enhancement—such as improving how the platform handles complex data exchange or error management in external systems. These insights will help shape our understanding of what additional capabilities might be valuable in future updates.

To bring Automation Anywhere closer to a “perfect ten,” here are a few areas where I’d like to see continued progress:

• Enhanced AI/ML Capabilities: Deeper integration of AI and machine learning for more intelligent decision-making during workflows would be a big step forward. For example, predictive analytics or adaptive learning models that improve over time could make automations more resilient and proactive.

• Advanced Document Intelligence: While IQ Bot is powerful, continued improvements in handling unstructured or variable-format documents—like handwritten notes, multi-language invoices, or scanned PDFs—would be highly beneficial for use cases like AP/AR.

• Citizen Developer Support: Expanding low-code/no-code capabilities would empower more business users to build and deploy bots without needing deep technical expertise. Features like guided workflows, reusable components, or natural language automation design would make automation more accessible across the organization.

• Real-Time Collaboration and Versioning: Collaborative bot development, version control, and built-in rollback features would enhance team productivity, especially in large-scale automation environments with multiple developers.

If Automation Anywhere continues evolving in these areas and maintains a stable rollout of new features that work as expected, I’d have no hesitation in rating it a 9 or even a 10 out of 10.

I started using Automation Anywhere in 2018, so it's been almost seven to eight years. Over this time, I've worked extensively with the platform across a variety of use cases, especially in finance and operational automation.

In my experience, Automation Anywhere is a stable and reliable automation platform. The bots consistently perform their tasks as designed, with minimal downtime or unexpected failures. The Control Room provides robust monitoring and alerting capabilities, which help us quickly identify and resolve any issues that do arise.

The platform’s architecture supports fault tolerance and recovery features, ensuring that processes can resume smoothly after interruptions. Additionally, regular updates and patches from Automation Anywhere help maintain system security and performance.

While no system is completely immune to occasional glitches, Automation Anywhere’s overall stability has allowed us to maintain high uptime and deliver consistent automation results, which is critical for mission-critical processes like accounts payable and receivable.

From my experience, Automation Anywhere is a highly scalable solution that supports growth in both the volume and complexity of automation initiatives. The platform’s architecture allows us to start with a handful of bots and easily scale up to dozens or even hundreds of bot runners as our automation needs expand.

Key factors that support scalability include:

• Control Room Management: Centralized control enables efficient scheduling, monitoring, and management of large bot fleets, which is critical as automation scales across multiple departments.

• Flexible Bot Runners: We can add or reallocate attended and unattended bot runners depending on demand, ensuring resources are optimized without disruption.

• Robust API Support: The ability to integrate with various enterprise systems and external applications through APIs allows for expanding automation use cases seamlessly.

• Cloud and On-Premises Options: Automation Anywhere supports both deployment models, which can be tailored to the organization’s growth strategy and infrastructure preferences.

Overall, the platform’s design and features provide confidence that Automation Anywhere can handle increasing workloads and evolving automation complexities while maintaining performance and governance.

Our experience with Automation Anywhere’s customer service and support has generally been positive. The support team is responsive and knowledgeable, providing timely assistance when we encounter technical challenges or need guidance on best practices.

We appreciate the availability of various support channels, including online resources, documentation, and community forums, which help us troubleshoot issues independently as well. In addition, the training sessions and webinars offered have been valuable in enhancing our team’s skills.

There have been occasional delays during peak periods, but overall, the support experience has been reliable and contributes to the smooth operation of our automation initiatives.

Before adopting Automation Anywhere, we explored a few other RPA and automation tools; however, we didn’t fully implement them across our operations. Our decision to standardize on Automation Anywhere was driven by its user-friendly interface, scalability, and comprehensive feature set that aligns well with our business needs.

Automation Anywhere stood out due to its intuitive Control Room, support for unattended and attended automation, and the ability to scale across different departments. It also offered strong document automation capabilities—especially important for our accounts payable and receivable workflows—and integrated easily with our existing systems.

The transition to Automation Anywhere has allowed us to centralize our automation efforts, gain better visibility through dashboards, and reduce dependency on manual work and disconnected tools. Overall, it gave us the reliability and flexibility we were looking for in an enterprise-grade RPA solution.

The deployment is very easy. We just need to export the bots and deploy those bots into production. It's very easy with import, export buttons. It's like five minutes. It's very easy to export into Android environments from dev to test and test to prod. It's very easy to move.

The deployment process with Automation Anywhere has been very straightforward and user-friendly. Moving bots from development to testing and then to production is seamless thanks to the easy-to-use import/export functionality.

Exporting bots and deploying them into different environments takes just a few minutes, making the transition smooth and efficient. This simplicity reduces deployment time significantly and minimizes the risk of errors during migration. Overall, the process of promoting bots across environments—from dev to test and then test to production—is very easy to manage.

While exact ROI figures can vary depending on the specific processes automated and the scale of deployment, our experience with Automation Anywhere has demonstrated clear and measurable benefits:

• Time Savings: Automating repetitive tasks in accounts payable and receivable has significantly reduced manual processing time, freeing employees to focus on more strategic activities.

• Cost Reduction: By minimizing manual errors and reducing the need for overtime or temporary staffing, we have lowered operational costs.

• Increased Throughput: Automation has enabled us to handle higher volumes of transactions without proportional increases in headcount.

• Improved Accuracy: Enhanced data accuracy reduces costly errors and rework, contributing to financial savings.

• Faster Cycle Times: Automation has shortened invoice processing and payment cycles, improving vendor relationships and cash flow management.

Though we don’t have precise dollar amounts publicly available, these operational improvements collectively translate into a strong ROI and justify the investment in Automation Anywhere.

In our organization, we currently operate with ten bot runners and utilize most of them regularly. This makes the pricing feel reasonable relative to the value we receive from increased efficiency and reduced manual effort.

For others considering Automation Anywhere, here are some key tips regarding cost and licensing:

• Assess Your Needs Carefully: Before purchasing, evaluate the volume and complexity of processes you plan to automate. This will help you determine the right number and type of bot runners (attended vs. unattended) you require, preventing over- or under-licensing.

• Plan for Scalability: Consider your future automation roadmap. Licensing can often be scaled as you grow, but having a clear growth plan helps in negotiating flexible terms with the vendor.

• Negotiate Licensing Terms: Engage with Automation Anywhere’s sales and support teams to explore flexible pricing models, including enterprise agreements or bundled offers that may reduce overall costs.

• Include Add-On Costs: Don’t overlook potential extra costs for features like IQ Bot, API access, or advanced analytics. Factor these into your budget early.

• Monitor Usage and Optimize: Use the Control Room dashboards to monitor bot utilization regularly. If some bots or runners are underutilized, reallocate or optimize them to maximize ROI.

• Leverage Vendor Support: Utilize vendor support and training resources to speed up deployment and avoid costly trial-and-error phases.

By taking these steps, organizations can better manage their automation costs and ensure a strong return on investment as they scale their RPA initiatives.

Yes, during the selection process, we evaluated other leading RPA platforms, including UiPath. Both tools have strong capabilities, but after thorough analysis, we chose Automation Anywhere for several key reasons:

• Ease of Use: Automation Anywhere’s user interface and Control Room dashboard felt more intuitive and accessible for both technical and non-technical users in our team, making adoption smoother.

• Scalability: We believed Automation Anywhere offered better scalability options for our planned enterprise-wide deployments, including better management of unattended bots.

• Document Automation: The intelligent document processing features, such as IQ Bot, were more mature and aligned with our heavy focus on accounts payable and accounts receivable automation.

• Integration Flexibility: Automation Anywhere provided easier integration with our existing systems like SAP and email platforms, reducing the complexity of our automation workflows.

• Support and Community: We also appreciated the strong support framework and active user community that Automation Anywhere offers, which gave us confidence in ongoing assistance and knowledge sharing.

Overall, Automation Anywhere matched our business goals and technical needs better, which is why we decided to move forward with it.

While I have not yet explored AI-driven agentic process automation in depth, I recently completed API training within Automation Anywhere and am excited to start leveraging these new capabilities. My main goal is to stay informed about the latest features introduced at events and to gradually implement them in our automation workflows. I believe Automation Anywhere is well-positioned to address emerging AI and Generative AI challenges.

Although we haven’t yet deployed AI-driven bots, we recognize the potential improvements AI can bring to automation performance and intelligence. I’m eager to learn more about how these tools function and plan to deepen my understanding as we explore API-based process automations.

Regarding document automation, we experimented with Automation Anywhere’s solution about two years ago. At that time, the accuracy was around 70-80%, which was not sufficient for our needs, so we opted to use third-party tools instead. However, document automation does save significant time, and we’re now motivated to revisit Automation Anywhere’s document automation capabilities, hoping for improved accuracy and better results with the latest versions.

Overall, I would rate Automation Anywhere an 9 out of 10, acknowledging its strong capabilities while recognizing there is room for growth, especially in AI and document processing.

We focus on multiple use cases, but primarily in the banking and finance vertical. We leverage Automation Anywhere's platform extensively. For one of our leading customers, we have transformed most use cases with respect to collection, reconciliation, validating possible fraudulent activities, and proper audit of cases. Many use cases which are very time consuming have been solved with the help of automation.

Contract management presents two challenges. One is understanding contracts, which are unstructured in nature. With AI, we can now read and analyze those contracts. The second challenge is processing invoices based on the contract terms, which is deterministic and rule-based in nature. Once I understand the contract, I can apply the appropriate terms and conditions and process the numbers accordingly. The blend of cognitive capability and deterministic capability together solves this problem.

Process reasoning, which we call process mining, serves the underlying purpose of monitoring what is happening and identifying improvement opportunities. Audit logs recorded by the system are analyzed to provide insights on how we can improve further, where deviations are happening, and what the improvement areas are. This complementary capability is powerful for larger enterprises to evolve to the next level, not only for what we have delivered now but for how we can graduate to the next level.

One thing I appreciate about Automation Anywhere is that we do not need to run around with multiple platforms. Automation Anywhere provides an end-to-end solution.

The platform has many features I value, but what has helped me most is not having to run around for multiple platforms. Automation Anywhere integrates very well with the underlying ecosystem. If I want to leverage document processing, the platform has very strong capability in that. If I want to leverage AI, I can easily embed AI from other parties within the same platform. If I want to take their services out of their platform into some other platform, they provide all that exposure through APIs. Automation Anywhere is very flexible and at the same time very cohesive, allowing us to solve all problems within the same platform without needing to run around.

As an organization, it is very easy to govern the process. If we had multiple platforms, we would need parallel governance and then one common governance on top of that. Automation Anywhere uses a non-monolithic design where multiple agents have different purposes, but at the same time there is a common orchestration layer. We can track the complete journey in an auditable form within the same platform, which helps us know what happened in each particular case. This provides a very seamless experience for anyone embracing the platform.

Automation Anywhere is a fantastic platform, but I rate it nine because I see one scope of improvement. They can leverage AI to accelerate their SDLC journey. AI for process recording, having that process recording fed directly into the engine, from engine to having the bots ready, and then governing those bots while preempting failures and having auto healing is where they need to immediately lead because that is where the competitors are converging towards.

We have our own IX suite as Concentrix, but that is more on the conversational side because we are very much focused on the CX stack as a business. We have invested in voice bots, chat bots, and other conversational capabilities which are part of our customer service. Where it comes to the back office where we need to get the job done, in the definition of agents—more execution agents—we are highly relying on platforms like Automation Anywhere.

Building our own product is always an aspiration every company has. We as a company invested a lot on the conversational side, and that is what we have in our IX suite. Automation Anywhere and platforms like it are complementary to each other, where our suite is more focused on front office conversational side with voice bots and chat bots. Behind the scene, when those dispositions land into execution with the back-office system, we rely on Automation Anywhere to close the gap. It is complementary.

Initially, there were some hiccups because of poor Java or JRE issues. Now that the platform is a cloud platform, they have migrated themselves into the cloud. They are taking all proactive measures in having patches updated and binaries updated with the latest versions and whatever threats they are seeing. I am not experiencing much downtime. In the last one year, I have not experienced any downtime driven by the platform. Downtime has happened because of other reasons not in the platform's control. For example, the underlying application is down, or there are network level disruptions happening which are not in their hands. From platform originated disruption, there is not much.

Automation Anywhere has an edge over other platforms in this area. They are really very proactive and believe in relationship. When we raise a ticket and share a concern, we hear back from them in a very short time. Given the way their business is going, they have created their own support model where we can have priority support. We need to pay a little premium for that, but by paying that premium, we can get priority support. For critical customers, we go for that option. When we have something we can solve ourselves, because this competency is like ten years old within our organization, we only disturb them when we see that we need to take platform advice. Otherwise, our architects and developers are solving most issues. I rate this aspect ten out of ten with no complaints.

The answer is yes. Given that we do not always have a choice to decide the technology, we step back and say we are not the pharma person, we are the doctor. We are not selling medicine, we are selling solutions. Sometimes we need to prescribe medicine by seeing the problem statement or something where a client has already invested. There are parallel products of Automation Anywhere. I do not want to name them now, but we all know. Because we do not have a choice and the client is already having a parallel relationship with them, we continue solving their problem using those platforms.

If we think about peer products like UIPath, Blue Prism, Microsoft Power Platform, and Workato, they are peer products where we have parallel competency the way we have in Automation Anywhere. At the same time, most of the hyperscalers are also coming with their own automation platform, like Microsoft Foundry which is in the space of APA, and Google and AWS are all bringing their own platforms. We are leveraging their platforms as well.

I was trying to recollect when the most challenging experience I had was when deploying Automation Anywhere. One thing which is part of the design is that we can easily have a different environment with a clear-cut checklist defined for the development team. Some of these experiences can be avoided. We do have a staging environment where we do all kind of checks and balances before we move things into production. The consistency of the environment is very important because sometimes the version we have in development versus in production are not the same for the base platform, because of which our bot is not able to recognize some of the screen elements and that is where it fails. That is where the retake happens. I think if we had some checklist handy, these things could be avoided. I do not think these are platform limitations. This is more with respect to the way we use that platform. If we are using this tool perfectly, we will hardly experience this.

Typically, in the past when we talked about ROI, we were more focused on KPIs and SLA of the contact center side, where we said we were able to reduce efficiency or drive accuracy. What I am seeing now in terms of ROI is that we are trying to gauge it at a larger perspective. The equation is more at the enterprise level where our metrics are getting aligned with business metrics of the customer. That is where the ROI is very disruptive now. With the power of AI, the demand is very high. Customers are asking for more and more impact on their bottom line. By saying that, we have to be very creative in our ideas and how to give them back.

By design, from the beginning, Automation Anywhere was designed for enterprise solution. From RPA to APA, if we see the graduation, what we see as a consumer is that earlier we were having a bot, now we have a bot with a brain. The orchestration and the journey is now amplified with other use cases which were not part of the scope before, which were very decision-making, reasoning, and some contextual background that we need to answer those things which we are parking for human. Now, the agentic part has that reasoning also ready. For high-risk profile, when someone as a human is doing that validation, they do not need to use brain for reasoning. They just need to proofread the reasoning and see that there is a logic for that and approve it. That is where we see from RPA to APA, and with the same platform, we do not need to disturb the platform. The only thing is the brain is also added in that platform. That is how more activities which are part of the human job are now part of the bot job or the agent job.

Three years back when everyone started talking about APA, the first thing we did is we stopped calling our internal advisors agents, because until that time, customer service agents were what we addressed them as. We said "You are the game changers and now technology is the agent." With that change in culture, we started embracing APA very extensively by saying that the rule of the game is the same whether we outsource this work to human or to agent. The discipline is the same, the governance is the same, the guardrails are the same, and security norms are the same because someone is trusting us with giving data. Data misuse is very common. The kind of role-based access control that we plan for human agent, the security guardrails for all the layers of the infrastructure, from the access, where things can go wrong because it is an agent with a very powerful LLM running behind, how to control and avoid any kind of side attacks that can happen on these things. We need to prevent and ensure that our customer data is safe irrespective of the situation. Some of those disciplines continued, and that is how we are graduating into APA. Rather than just calling agent, we have started calling them digital worker and the new hybrid setup of a human bot agent delivering customer problems together.

We are getting into this hybrid setup of human, bot, and agent, all part of the ecosystem in addressing one journey of the customer. In any use case journey, we will have some activities done by the bot, which is very deterministic in nature. We do not want to pay for AI in that situation. Some of the cognitive capabilities will have agent and agentic capability of AI, and then at the end of the day, we need someone to approve it, which is where human comes. The complete journey has to be tracked so that if any customer query is coming about why we gave them a certain amount for a claim, just thinking of claim processing as one example where sometimes customers bounce back and say that this was not the right claim settlement happened. In that case, we really need the traceability. We need to know how we processed it. Traceability in the journey cannot go and say that this is done by the agent and this is done by the human. The complete journey should be auditable. That is where the central governance which was mentioned is very important. Everything should be part of the central governance or the orchestration layer so that whether it is a human or agent, everything should be stitched with the same thread.

Something which is always there is the pricing part, but I do not want to press on that because there is no end of it. On the platform part, certainly one thing which we really need to see is how we can accelerate developer journey. Today, if a team is taking two weeks' time to build one agent, with other parallel platforms like Claude and Co-pilot who are trying to infringe into AI SDLC, the life cycle of agent development, where they are trying to step in into all the stages of defined build and run, how we can have that as part of the platform. I learned in conference that they already have something called AA Code, not in production and not out for the consumer, but they are already thinking on that. That is something which I was missing when I entered in this conference. We certainly need to leverage what Claude is doing or what other hyperscalers are doing in the same space.

Customers are coming to us with very disruptive pricing models. From the service industry, we cannot just go by the labor arbitrage or license-based model today. We need to be more value-driven model. Today I am selling a service with X dollar per transaction and I can give it with fifty percent cost. If I can get a similar model from Automation Anywhere, then it will be a seamless calculation for me. That is where I will say true partnership will do where we are bringing services, Automation Anywhere is bringing technology, and we both are following the same equation, and we both will graduate with the same level of commitment and scalability. That is where a part of pricing will help.

Positively, there is one unique selling point what Automation Anywhere and peer RPA platforms have is UI-based automation, which was their starting point. Because most of the legacy systems do not have API level connectivity today, and that is where the hyperscalers are not able to bridge. Automation Anywhere has both things. They have API which is intrusive in nature where we can have that direct connectivity with the base platform or the system, and non-intrusive where we can leverage their UI automation capability to ensure that there is no bottleneck. We can have the complete journey done. That is where Automation Anywhere has upper hand. Hyperscalers have upper hand because they have their own proprietary model where they can drive more disruption. They have base platform access—if I talk about Microsoft, it is very for them to have seamless integration with their Office platform, SharePoint, shared drive, Active Directories, and other things and give an end-to-end solution with Co-pilot and OpenAI and other things. Hyperscalers have their own advantage. Being doctor, we go by the problem and see how to position and solve it. Sometimes we are making combination of both and solve the problem. My overall rating for this review is ten out of ten.

We have several use cases for Automation Anywhere. We have several processes developed for HR, finance, and our automotive business, so we found use cases for everyone. Finance would be the major focus right now. We have this GPS center where we are trying to build many automations because we are dealing with cash allocations and processing invoices.

The main challenge I was looking to solve with a GenAI process automation was finding the GenAI solutions that were presented, and it has a combination that allows integration with the GenAI process automation with test bots. I found it very useful to have a centralized place where everyone can go. Instead of opening multiple applications, we have someone just opening a single app, making the prompt, and all the work starts to be done there. We have many opportunities, especially in accounts payable.

Currently, we are using Document Automation with Automation Anywhere. We are still not using AARI, which is something we are working on. I just started using it, but we are already using Doc Automation. We have processes using GenAI to extract information from unstructured documents. We have been having huge results in a short amount of time, which is incredible. Document Automation has had a significant impact on efficiency and productivity for us. The project I was mentioning was completed in two weeks. Our DSO was being impacted because of the backlog. In a short amount of time, we were able to reduce it by 38%, which was incredible.

What I appreciate most about Automation Anywhere is the cloud version. It was a huge change and it's very friendly, very easy to use, even for citizen developers. We have a group of citizen developers and I find it very easy to teach and use. These features are actually now in the front of the line and releasing these features. Last year when AARI was announced for the first time, and now, what we are seeing, putting everything together, seeing everything together, it's a huge change.

Automation Anywhere has helped us deal with these challenges. In Doc Automation, we have this project where we had a huge backlog. As we were closing our fiscal year, we had this huge backlog that we needed to clean up. The business was preparing to hire 12 people to do that, and even though they were not sure they could handle it, we built the process to extract and do the entire process just in two weeks. We were able with a single person to clean the entire backlog, which gave us huge benefits.

In the age of GenAI, the biggest challenges for my company include changing the entire mindset. Users need to trust the solution and what is being asked of us is that we need to be able to show the value it is bringing. It's not just a matter of trusting the technology, we need to be able to show exactly what we are going to achieve by using this technology. 

For that, we need to have a proper framework that tracks all the benefits we are extracting from automations and shows them that this will actually take us to the next level. We are working with Automation Anywhere's value engineering team, and they are helping us build this framework, so we can show our leadership that this is the right move for starting to adopt this technology.

Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents. This all deals with information we are receiving and acting upon. The next step would be more predictive, having predictive analysis and being more proactive in the way we are taking our actions. Instead of having an agent trying to look at where the best price is when I receive a request to buy something, we could have an agent that could use historical information to predict the best time to buy that product. In that way, we could have some predictability and start anticipating the right time to take actions for profit and lower cost reduction.

I've been using the solution since 2019.

We were using another solution before choosing Automation Anywhere. It was not actually an RPA per se; it was more a ticketing tool that allowed building some automations. The company had previously tried UiPath but found some issues in managing and supporting the tool. They chose Automation Anywhere, which was a perfect fit in the environment we were building internally. For citizen developers, the learning curve is much faster compared to other tools.

We could have a better integration. We have our development environment, and then we need to export that and then import it to the client. So this is a manual process. We would like to have a more automated process, integrated process, where we could have a pipeline where we could, from the production environment, push the version that we want to deploy to production. 

In terms of version control, there are some improvements that can be done there. It would be nice to have more actions and more tools that allow us to have a better release control and showing all the features that were launched on it. 

Having AI right now, it would be nice if we could also automate part of the documentation process. That's something that is possible. Nowadays, we can send a quote to AI and just ask it to explain this or build me a document explaining this code. There is some work that can be done there that can improve the deployment that we are doing through production to ensure that we have everything documented, and have all the version control in place. 

Regarding pricing, setup costs, and licensing, we don't have the license for the enterprise that allows us to build the agents. This is something we need to work on. The first version would double our cost. 

We need to work with our business, which is why I'm working with the value engineering team. To get that type of cost approved, we need to be able to show all the benefits we are seeing from our automation. Automation Anywhere could try to come up with a better solution for having this framework that's easy to implement and maybe integrate into their own products so we can easily extract all the values from the automations. We need to be able to show data at four different levels because every level of leadership wants to see the data differently as they have different goals.

Regarding API, we are not using it currently with Automation Anywhere as we don't have a license yet, so it's still a work in progress. We found many opportunities and just need to work with the business, build a POC, and then work on having access to it.

AI governance is very important in our company. We need to take care about securing our own information as we are a private company, so there are many aspects we need to address. We have an AI council in our company that ensures we are using the proper tools and have contracts signed to ensure data privacy and security.

We received a presentation of the COE Manager. We found it was not filling all the gaps we were looking for, so we are not using it currently. We have another solution. We have been using the information we are extracting from our automations and bot metrics. We are extracting that into a simple database and crossing it with control room APIs to get information about our executions. We built this lake house with a model that automatically extracts this information and builds our Power BI reports.

I'd rate the solution eight out of ten.

We are using it for backend office processes for FinanceOps.

By implementing this solution, we mainly focused on automating manual tasks such as invoice processing, reconciliations, and data entry, which are very rule-based. The automation worked effectively.

The core RPA capability is valuable. We have completed many automations. Removing manual tasks has been beneficial. It works effectively. We are still trying to determine how things will change after the GenAI introduction. It saves time and costs.

They should improve process discovery features.

They advertise that they do UI automation and things will be stable. However, when we performed user interface automation, things were not very stable. They need to make API integration much simpler with the target application so that automations are more scalable and stable.

I have been using Automation Anywhere for nine years.

Stability depends on multiple factors including developer expertise. Some automations have been very stable while others were not, possibly due to developer implementation or target application issues. The platform is not very smart to perform self-maintenance.

Scalability is good. If you create a good solution, you can scale effectively. However, scalability is very dependent on the developer's skill, not just the platform's capabilities.

In the earlier version, when we reached out with problems, they would often respond that features were not yet implemented or acknowledge known bugs that would be revised in the next upgrade. We hope this has changed in the Cloud version.

Neutral

It was already deployed when I joined the company. 

The upgrade was extremely challenging. Moving from version 11 to Cloud took considerable time. The migration from V10 to V11 was difficult, and V11 to Cloud was even more challenging. We hope the Cloud version will make future transitions easier since it's not on-premises.

With the cloud platform, we don’t require much maintenance. However, the bots we create do need significant maintenance. The time required for maintenance varies. Some automations are very stable, while others may not be due to issues with the developer’s execution or the quality of the target application. It's not Automation Anywhere's fault, but the platform itself isn't very adept at performing self-maintenance.

There was no return on investment in the last year. The year before that showed a significant return on investment, primarily because we automated many manual processes. Once the low-hanging fruits were completed, finding a return on investment became more difficult.

The solution is costly and the licensing is very confusing.

Earlier, the pricing structure was much simpler. A developer license cost a specific amount, and a runtime license had a separate price. Now, there are only two main figures to consider, in addition to distinct costs for cloud platform maintenance and other services. However, with the introduction of tools like Co-Pilot, things have become more complicated. If you use Co-Pilot, there’s an additional cost associated with it. Moreover, if you utilize AI features within Co-Pilot, there are AI token costs that differ from the standard licensing fees. Therefore, when you're creating a use case that involves Co-Pilot, a runtime license, and GenAI, it can get quite confusing.

The platform is moderately complex - not very complex but not super easy. Building scalable solutions requires significant time investment. The platform is not very user-friendly for people without technical experience. We don't encourage business users to develop anything on Automation Anywhere. 

I appreciate the core RPA capability, but the additional platforms they are adding currently are not mature enough. 

I would rate Automation Anywhere a seven out of ten.

With my experience on RPA solutions specifically, I have completed projects on Automation Anywhere, and my enterprise company has now moved to Blue Prism; so we are currently using Blue Prism for RPA. I can provide a brief of what we accomplished with Automation Anywhere.

Our use of Automation Anywhere was to handle a test case where a ticket came in each day, possibly overnight. There was a job that we ran specifically on our Linux machines to upload the assumption files, which was a repetitive task. Although we had a script on the Linux box, someone had to come in and process the Jira workflow manually by approving the ticket. The ticket came in from the outsource party with a data set and a zip file. We created a workflow in Automation Anywhere where it would open the web page, access the vault, get access to Jira, and input the Jira credentials. If the ticket was in an approved state, it would start pulling the zip file and download it on the Windows machine. The bot would perform validation checks on the zip file and then open PuTTY on the same Windows machine to obtain the credentials, log into the system, and run the shell script for assumption load, passing the data set coming in from the Jira API. The data set was downloaded to the Linux box. After we obtained the data set, we ran the script execution on Automation Anywhere, which loaded the file on the system. If the validation was approved, it would open the browser again, use the Jira ticket, close it with specific comments that the task was complete, and send a notification to the end user. This was one test case; we had modules for Jira and Linux that consumed most tasks. Different scenarios required changing the scripts for different purposes such as loading assumptions or restarting applications. We scheduled tasks on Automation Anywhere to run daily and check the Jira API, running only if the workflow was open.

The initial deployment of Automation Anywhere is user-friendly. If you have self-learning capability, the wizards are self-explanatory, making it not very difficult to navigate. It is a very low-code environment, allowing flexibility to explore based on the project's complexity. Overall, I believe Automation Anywhere is a very user-friendly tool.

In terms of user-friendliness for non-technical users, the wizard is self-explanatory. Non-technical users, such as those involved in Excel automations or HR roles, can handle their tasks easily. Some tutorials available through YouTube can help guide them, and I find that the terminologies used in Automation Anywhere, such as Control Room, are also self-explanatory. Users can simply take an Excel file and run the rules without much difficulty.

One thing I dislike about Automation Anywhere is that our process is time-consuming. Since the bot is utilized by that machine and if a long-running task is happening, then another bot may not run and the machine is locked. We had to provision multiple machines to avoid deadlocks. This might be an issue with all RPA solutions, but it could have better handling if an existing lock allowed a second bot to provision and take requests. Because our infrastructure is idle in that case, we must bring up more infrastructure, and if there's a bottleneck, the bot is idle, waiting for the Linux process to complete. This is a challenge we faced, particularly during peak load.

Cost is another concern since we moved to Blue Prism, which is more expensive due to needing more VMs, bots, and capacity, which led us to procure more licensing. While Automation Anywhere was used efficiently and was cloud-based, software installation on Windows VMs was an overhead. Moving to the cloud for a web-based solution would allow for no software requirement on the system, which is a more modern approach compared to installing software on machines that require maintenance and consistent configuration.

One area for improvement would be the licensing, making it more cost-effective. The other issue involves security, particularly with password flags. I faced challenges in troubleshooting when providing passwords through the vault, as I could not secure a valid log to see whether the password was correct or incorrect. Log management could be enhanced, and regarding troubleshooting, since I utilized API calls with Jira and a PuTTY session, tracking failures in one of the processes was difficult. The log management needs to improve to identify the root cause of failures.

Regarding the duration it takes to train non-technical employees on using Automation Anywhere, we provided documentation and instructions. Employees reviewed them along with YouTube or external links to start automation, beginning without needing technical support from our team. There were sessions around it, but I do not believe they required much assistance apart from the provided instructions and tutorial guides.

I have used Automation Anywhere on projects throughout my experience with RPA solutions.

Concerning stability, while I have not seen substantial lagging, crashing, or downtime, performance could be an issue, especially since our jobs take longer. It might be a performance issue on our system or possibly Automation Anywhere not being lightweight. I do not believe the tool itself is heavy; it primarily acts as an orchestrator while the actual jobs run on the machines. However, the tool does block the VM, hindering the utilization of CPU and memory when the bot runs a job. If another job tries to come in at the same time, it complicates the situation.

Automation Anywhere should be resilient enough to provide automation at scale. I know there is an AI bot that we have not leveraged yet, but it should be efficient for capacity jobs. For example, if I receive multiple tickets for loading assumptions simultaneously, I would not want a single bot to complete the task in six hours. The AI bot could recognize multiple pending jobs and scale up the bots to execute them efficiently in parallel.

One thing I dislike about Automation Anywhere is that our process is time-consuming. Since the bot is utilized by that machine and if a long-running task is happening, then another bot may not run and the machine is locked. We had to provision multiple machines to avoid deadlocks. This might be an issue with all RPA solutions, but it could have better handling if an existing lock allowed a second bot to provision and take requests. Because our infrastructure is idle in that case, we must bring up more infrastructure, and if there is a bottleneck, the bot is idle, waiting for the Linux process to complete. This is a challenge we faced, particularly during peak load.

I have not had to contact technical support personally, as we managed to handle most things independently. Although we experienced Jira API issues, it was not related to the tool itself; we utilized a different token authentication and did not face significant issues.

I have used Blue Prism as one of the major RPA giants and an alternative to Automation Anywhere.

When comparing them, I find that Blue Prism has more complexities. It depends on the use case; for a very complex architecture or hardcore coding, Blue Prism is preferable. Otherwise, in a low-coding environment where a developer is not needed, I prefer Automation Anywhere because it enables non-IT users to leverage it effectively.

The initial deployment of Automation Anywhere is user-friendly. If you have self-learning capability, the wizards are self-explanatory, making it not very difficult to navigate. It is a very low-code environment, allowing flexibility to explore based on the project's complexity. Overall, I believe Automation Anywhere is a very user-friendly tool.

Cost is a concern since we moved to Blue Prism, which is more expensive due to needing more VMs, bots, and capacity, which led us to procure more licensing.

I have used Blue Prism as one of the major RPA giants and an alternative to Automation Anywhere.

When comparing them, I find that Blue Prism has more complexities. It depends on the use case; for a very complex architecture or hardcore coding, Blue Prism is preferable. Otherwise, in a low-coding environment where a developer is not needed, I prefer Automation Anywhere because it enables non-IT users to leverage it effectively.

As for the overall learning curve for Automation Anywhere, I think it is not difficult. However, when adding more complexity, there is a limitation. In a low-code environment, if you need to incorporate more complex logic, you require a coding environment to run some code against it.

I have not used what is called Automation Co-Pilot, previously known as ARI. However, I have utilized GitHub Co-Pilot and I assume that the Co-Pilot would be a self-learning AI bot. It would learn from inputs and make better decisions with each learning curve, similar to how we use GitHub Co-Pilot, which prompts based on our codebase.

Overall, I would give Automation Anywhere a score of eight. I find that an eight is a fair representation of the experience.

My main use case for Automation Anywhere includes automating disputes, due diligence, anti-money laundering, mainframes, all kinds of customer information, mainframe, Excel, Outlook, SQL, web interface, and various other processes.

One specific example of a process I have automated with Automation Anywhere is when we receive a bunch of disputes that need to be recorded in the system. I check the mainframe, take some screenshots, update the screenshots in the system, go to the Visa website to make sure these transactions exist, take the transaction history of it, upload it to the same system, and log these cases, ensuring the dispute cases are logged, recorded, and reported.

We utilize document automation in our current processes and it has positively impacted our efficiency and productivity. We really like using it because it is efficient.

The best features Automation Anywhere offers include good support, a lot of good tools, many features and functionalities, document processing, and various other capabilities.

The document processing feature has helped my team by ensuring that when documents are clear, sanitized, and structured, it is able to pick up all the information and put it in the format that we are looking for. However, if documents are scanned and not clear, the accuracy is not up to the mark. We cannot use GenAI because we are not on the cloud yet, but other than that, document processing is a really useful tool.

Automation Anywhere has positively impacted my organization by saving millions of dollars over the past several years since we implemented it, along with saving a lot of hours, achieving a lot of ROI, realizing a lot of value, and significantly reducing urgency and stress. People can now focus on meaningful work rather than sitting and doing repetitive, mundane tasks.

I believe that per year, we save at least 50,000 hours.

One way Automation Anywhere can be improved is that transitioning from on-premises to cloud presents a challenge, so we are trying to work with security and integrate our security with Automation Anywhere security. Those parts need to be vetted out, thus requiring the right people and obtaining more information about the security piece to take things forward.

I have been using Automation Anywhere specifically for almost 11 to 12 years.

Automation Anywhere is stable.

The scalability of Automation Anywhere is good because we build our bots keeping scalability in mind and create a lot of reusables.

The customer support provided by Automation Anywhere is excellent.

I would rate the customer support a 10 on a scale of 1 to 10.

Based on my overall experience so far, I would rate their customer support a 10 on a scale of 1 to 10.

I previously used a different solution, which was manual.

I have seen a return on investment with Automation Anywhere, including money saved, time saved, and overall satisfaction. People are happy and things are working as expected, doing what they are supposed to do while creating less headache, less monitoring, and less heartache.

My experience with pricing, setup cost, and licensing is good. We were able to work out a great deal with our account managers and I am happy with what we got.

I evaluated other options before choosing Automation Anywhere.

The other option I evaluated before selecting Automation Anywhere was UiPath.

Automation Anywhere is deployed in my organization on-premises.

Automation Anywhere has helped me achieve my automation goals by allowing us to automate a bunch of different business processes and leverage a variety of features it offers. I have been able to automate Excel, mainframe, web-based applications, and in-house applications without needing to do anything outside of Automation Anywhere.

We use Automation Anywhere's Center of Excellence partly, as we have our own version of it. We can break everything out between dev, test, and prod, and we have Jenkins, Jira, and ServiceNow all tied together and integrated.

I rate Automation Anywhere a 10 because it has always provided great support and we have always received valuable information. Whenever we are stuck, we reach out to Automation Anywhere and they always provide us with the right direction and guidance, always helping us out even in tough situations, allowing us to figure out and resolve most of our automated processes. We have not encountered anything so far that was not automatable, or we have utilized hybrid automation methods like APIs, .NET code, JavaScript, or Python, enabling us to handle most of our use cases without seeking out a different vendor.

My overall rating for this review is 10 out of 10. The advice I would give to others looking into using Automation Anywhere is to go for it.

The use cases are majorly insurance-related or finance-related. I work for a finance-based company, and the use cases are primarily money movement use cases involving financial and insurance-related operations.

Since business users are only running the automations, it is not very difficult for them. For a few users, I had to explain how to get inside the machine and how to trigger the automation in the case of attended execution, where they were running the automations by themselves. Apart from that, there were no major things that needed to be handled by the end-users, so those were pretty easy for them.

In the user's case, as they do not have many things in their hands, I would say the learning curve is pretty flat. They were only running the automation and did not learn anything apart from just triggering the bot. There was not much to learn in the user's case.

In most of the use cases, both time and cost are being saved. That is the reason they are using these automations.

Considering the current era where people are moving towards APM and Agentic automation, I see other rival tools are launching more and more products. If you talk about UiPath, they have Test Suite or UiPath has lots of AI-related models. I would say considering the current scenario, there is scope to improve for Automation Anywhere.

When it comes to integration with AI models, I have been on a maternity break, so I am not currently very much in touch with the models of UiPath or Automation Anywhere. What I have been seeing on LinkedIn or listening to people say is that UiPath has more of the AI or APM-related tools with more integration and inbuilt integration with AI, whereas Automation Anywhere has just started launching this. There is room for improvement in this area.

I would rate the room for improvement as eight. The only scope of improvement I see right now is when it comes to APM or integration with AI. Apart from that, it has been the best for me so far, and it is easy to learn and pretty self-explanatory.

I have been working with Automation Anywhere for almost eight plus years now, since 2017.

We did face some issues last year when there was an upgrade in Automation Anywhere control room, and at that time our web application automations were failing. We had to downgrade the version to the previous version. That was the only issue I faced when it comes to stability. Apart from that, I have not seen any major issues. There were a few during migration, but overall, it is pretty stable.

The problem was fixed when we reported the issue to Automation Anywhere team. They fixed the issue within two or three days. Meanwhile, we had to downgrade our software version, and then it was working. Once the issue was fixed, we upgraded it to the correct patch.

I would say it is pretty good. Since I have been working with Automation Anywhere from version 10x, and now we are at A360, I have seen Automation Anywhere evolving. There were lots of limitations with version 11 before when we had a desktop version. Now we have multiple things integrated. When it comes to SAP, you do not need to use Metabots or external things. You have everything inbuilt. It is pretty scalable. You do not really need to rely on external components. You have everything inbuilt whether you are talking about Salesforce or anything else. I would say it is pretty helpful in building scalable solutions.

I would rate Automation Anywhere customer service ten out of ten because whenever I have reached out to Automation Anywhere, I have always been supported by those people. No matter if the issue was on their side or our side, the support team has been the best so far.

Positive

I started my career with RPA and then Automation Anywhere. Apart from Automation Anywhere, I have worked with other RPA tools as well, such as Power Automate or UiPath. I have also used Python for a few automations. However, it has been majorly Automation Anywhere for me.

The initial setup is pretty straightforward. From Automation Anywhere, I did not really face any issues. Whatever issues there were, those were majorly application-based, such as changing the environment or things of that nature. From Automation Anywhere side, the deployment was pretty easy. From the tool end, I have not really faced any issues. I have worked on the V11 to A360 migration as well. There were no major issues. Whatever issues we face during deployment are mostly from the system perspective, such as environment perspective or system perspective.

The implementation team consisted of more than 100 people.

I am not really sure about the ROI because that is being handled more on the business side. I am more of a developer, and these things are being taken care of mostly by a business analyst or product owners, so we do not really have access to that information. If it comes to time, for one use case, if they were taking 48 hours for 20 transactions, now that is being done in two to three hours by automating that operation. When it comes to ROI, I am not really sure about that since it is being handled at a high level.

In my organization, we are not really using Automation Co-pilot. We are using simple automations for now.

In my system, mostly those are inbuilt tools only and inbuilt applications. If I talk about generic tools, those are Excel, a web application, or Salesforce, and then SAP is there. Mainframe is there as well. Apart from that, whatever tools are company-built or private to the company are being used.

My overall review rating for this product is eight out of ten.

As an engineering company at Hitachi Energy, we face several challenges in supply chain management, particularly from order processing to delivery, and that's where we would like to automate different operations that human users are manually doing. We are exploring more agentic solutions to address these problems.

I appreciate Process Composer the most with Automation Anywhere, and now we have an enhanced version called Mozart Orchestrator, which I am glad to see represented in the Imagine session today, along with our product leaders discussing this powerful orchestration capability.

In general, the benefits of Automation Anywhere's automation are diverse. It is not just about saving time or reducing FTEs, as our customers benefit from structuring and formalizing their processes, while others gain compliance through automation.

The flexibility of Automation Anywhere's truly universal orchestration in integrating with different systems and models is assessed by the capabilities offered in the Orchestrator, whether it be Mozart Orchestrator or the previous version, as its ability to connect to various ERP applications and manage different data types ultimately provides us with the benefits.

In thinking about what improvements I would suggest for Automation Anywhere, I appreciate their vision and remain interested in their product roadmap. I wish to see more adaptation to trending technologies that we currently have.

My name is Navya Gunashekaran, and I work as the Automation Service Manager in Hitachi Energy, Bangalore, where we have been using Automation Anywhere for eight years.

To assess the stability and reliability of Automation Anywhere, we measure success through captured insights, which we collect after deploying automations, typically via an external dashboard or the bot insight dashboard that provides information for continuous improvement.

In our organization, we have used Automation Anywhere for eight years, and we have experienced notable growth in terms of production solutions and ROI, demonstrating excellent scalability to meet different functions and units within our business.

My experience with Automation Anywhere's customer service and technical support is notably positive. I have closely interacted with their support team over the years, especially since we were early users of product document automation. I appreciate the timely support and improvements made to the product since then, leading me to give a rating of nine out of ten.

I started my career with Automation Anywhere and have not used another solution for similar needs.

In deploying Automation Anywhere solutions, I have experienced significant evolution over the past eight years. Initially, it was a client-server model that made deployment challenging, but now we benefit from the first ever cloud-based RPA platform, which has greatly enhanced our flexibility in solution deployment.

I can confirm that we have seen a return on investment with Automation Anywhere. At Hitachi Energy, we deal with various business units and functions, deriving different benefits and business value, although I cannot disclose specific numbers.

Regarding my experience with the pricing, setup cost, and licensing of Automation Anywhere, I have some concerns about the product licensing model. As one of the MVPs, I recently discussed with Adi the rigidity of the licensing model which has been packaged without the necessary flexibility for customers who can fund certain products but not the enterprise platform license.

We have evaluated other solutions besides Automation Anywhere in the past, but it was about four to five years ago. Although the tool's evolution has been significant, Automation Anywhere consistently came out on top during our assessments.

In my evaluation process of Automation Anywhere compared to other options, I focus heavily on cost, flexibility, and capabilities. From a cost perspective, Automation Anywhere wins, and at the time of assessment, we were awaiting additional capabilities that have since been addressed.

Regarding Automation Anywhere's deterministic and agentic blended execution feature, I do not believe this applies to our current needs.

To prevent infinite loops and retries in Automation Anywhere's deployment, we have different methods in place, including technical logics in if conditions and a powerful error handler that allows us to implement those logics.

Assessing the capabilities of Automation Anywhere's Automation Process Architecture (APA) in improving orchestration for AI projects involves considering factors such as flexibility, the outcomes we achieve, and the different types of integrations the Orchestrator supports that can benefit various businesses.

The option to buy, build, or bring your own tools and models significantly influences our organization's automation strategy. We have certain restrictions due to varying organizational alignments regarding model usage, especially since we are in the AI era with numerous LLMs emerging, and it is crucial to have flexibility in products such as Automation Anywhere's buy your own model.

Centralized governance across agents and systems enhances consistency in operations by prioritizing security, particularly for PII and PHI data. Having centralized governance aids in consolidating sensitive data onto one platform, enabling useful reporting and making it easier to convince the leadership team with the insights we capture.

I rate Automation Anywhere an eight out of ten because while I appreciate the platform, I expect more flexibility in capabilities and licensing models.

I strongly recommend Automation Anywhere as a compelling platform for RPA needs. I particularly value their university and open courses that enable even freshers without technical backgrounds to grasp the technology easily, which I find lacking in other tools in the market. Once learning is accomplished, Automation Anywhere demonstrates strong capabilities for current market integration and adoption.

I have been involved in multiple use cases for Automation Anywhere where we deal with healthcare professionals, event organizing where the bot manages event organization, reimbursement, and contracting processes. Additionally, I have worked with processes where trial capabilities of healthcare and medicine process-oriented functions have been established in the organization. Regarding the actual use case in the organization, the molecule discovery part was significant, where the RPA bot helped organize all formulas and rule-based processes involved in molecule discovery. These are the main high-level processes I have been involved in, all with high-value outcomes.

The flexibility of Automation Anywhere's Truly Universal Orchestration in integrating with different systems and models is evident since automations have been developed across multiple regions for 150 countries, covering all aspects of the processes in the organization, starting from healthcare professional automation to molecule discovery and document automation processing. This includes extracting key handwritten signatures and handwritten documents needed for invoice processing and completing reimbursement processes. The results of 150 bots are a testament to the reliability and stability of the bots in handling the entire dimensions of all processes.

Since I have been using Automation Anywhere from 2017 onwards, my most favorite feature would be the web scraping part, which is stable and reliable enough to orchestrate any kind of process that is involved at the organization level. The second most valued feature would be the intelligent document processing capability, called IQ Bot in the beginning. These are the two main features that I have valued most throughout my entire experience.

The web scraping feature of Automation Anywhere has been beneficial because most of the processes involve application interaction from the data level to the presentation level, and that is where the web scraping feature came into play as a crucial part for any kind of process that we were trying to automate, from simple form filling to payment approval processes. Everything involved navigation of screens, traversing between different fields, and multiple table interactions in the UI, which are not simple enough to work with, but Automation Anywhere was capable enough to bring stability and reliability to work across the dots and connect them, achieving high-value automation results.

I assess the reliability of controls to prevent infinite loops and retries in Automation Anywhere's deployment as excellent because Automation Anywhere provides the most reliable if-else conditional statements and loop retry functionality to handle any amount of data involved in the process. The data volume can reach up to 10,000 to 20,000 records in invoice processing or other processes involving document processing. In terms of stability and accuracy of document looping and retrying, I believe the platform scores 10 out of 10.

I believe Automation Anywhere can be improved by leading in the direction of seamless integration with the LLM models that are readily available today in the market. As LLM models are easily accessible as open source outside Automation Anywhere, I want to understand how Automation Anywhere would accomplish this on their platform to address the enterprise-level problems that exist today and create a mesh, which we call an agent mesh, to address each problem in different areas of the enterprise organization.

My name is Mohan, and I work in the pharma healthcare industry as a senior consultant. I have been using Automation Anywhere from 2017 onwards.

Prior to adopting Automation Anywhere, I did not use another solution to address similar needs.

In my experience, deploying Automation Anywhere is one of the easiest processes compared to other RPA tools. They call it Bot Lifecycle Management, where you build code with a no-code, low-code strategy, then place it in the version control of Automation Anywhere, known as the control room, and configure it as a package or extract and traverse between one environment to another. This is simple and easy for any new developer, and I find it to be a good feature.

I have seen a return on investment with Automation Anywhere, as we have achieved a value of 10 million for a single process in one year, helping that team to accelerate more and bring value to the organization.

The alternate solutions I considered before selecting Automation Anywhere included custom solutions with the available approved LLMs described in the organization.

Centralized governance across agents and systems is beneficial for maintaining consistency in my organization as it functions as a command center for a particular center of excellence of the bots. The system custodian looks after the entire global region of the bots, understands the pain points of each region, and assesses how the system and platform should be upgraded based on the needs of the organization and regional gaps. This approach has led us to build a center of excellence for RPA bots and work towards achieving that.

The option to buy, build, or bring your own tools and models has influenced my organization's automation strategy by allowing us to explore any models available in the market on an approved model level. We try to work with the approved models described by the organization and then explore through multiple tools and cloud platforms like AWS, where we can train, deploy, and explore the models.

The deterministic and agentic blended execution feature of Automation Anywhere affects the accuracy and efficiency of our processes. In simple terms, the deterministic approach is nothing but the rule-based, pre-planned steps involved in the processes. We use all the Excel-based commands, web scraping commands, and API commands to work with the deterministic approach and then try to integrate this particular set of solutions with the agentic part. I have not explored much on the agentic part, but this is the approach we use.

My advice to other organizations considering Automation Anywhere is to focus on the ease of doing things, even when the problem statement might be very complex in nature, and how to view and approach the vision of that problem to solve it in the simplest way that everyone can understand. I would rate my overall experience with Automation Anywhere as a 9 out of 10.