The company called me to work on the goal of restructuring the team and putting everything in order. When I joined this team, I needed to assess the current state of the program, and I essentially had to reorganize the entire program. Fortunately, that's what I've been doing right now; I have experience managing Automation Anywhere, and it's a great tool for automation since it gives you a lot of flexibility to work with different applications.

From my perspective, the most valuable features in Automation Anywhere are the ability to connect to different systems of records. We are using it at a very basic level; we only use RPA and are not using Intelligent Automation or AI yet; it's not part of my contract. Document Automation is still growing and is not, from my perspective, 100% mature, yet the basic functionality of RPA is amazing. I really appreciate how you can connect and interact, regardless of the system of record, infrastructure, or platform, and that has given us a lot of power to help the organization interact and eventually automate their processes.

In terms of reducing manual work, I think Automation Anywhere could improve by incorporating better integration with DevOps. This is functionality; it's a methodology that cannot be integrated 100% with Automation Anywhere, and a lot of companies are requiring that right now. I think Automation Anywhere is in the right direction, however, a better task mining tool would be great. What we currently have with Fortress IQ needs to mature more, and I say this since people spend weeks creating PDDs documentation. If we had a user-friendly tool that could record sessions and generate PDDs in minutes, it would greatly assist our processes. I have seen tools similar to that, not with Automation Anywhere. It would be great to have it.

I started using the RPA Automation Anywhere in 2017, starting with zero automations. After seven years, we've ended up having around 120-some automations.

My assessment of the stability and reliability of Automation Anywhere or its bots depends on how you define your development strategies. If you have good best practices, reusable code, an effective framework, and a solid development methodology, bots can be very stable. We do have some bots that fail, however, they generally fail since we weren't good developers or due to a glitch in the system, not due to the fact that Automation Anywhere failed. We see issues. That said, those are often related to server maintenance and upgrades.

In terms of how Automation Anywhere scales with the growing needs of my organization, in the cloud, I don't see much problem; the cloud will scale based on our needs. The only concern I see is probably on the Bot Runner side; I need to support VMs, and my team is working to migrate those VMs to servers. This change will help me scale since I can have multiple Bot Runners on a single server rather than adding more VMs; increasing the power of the server allows for 20 to 30 Bot Runners to operate effectively.

We migrated to gold support last year, which is excellent. What I appreciate is that you have a technology partner who gets to know your environment, and that's very important. When I began at my previous company without gold or platinum support, I had to explain my environment every time there was an issue, wasting hours. Now that we are in gold support, they already understand our setup, infrastructure, and pain points, allowing us to address issues more efficiently.

Prior to adopting Automation Anywhere, my company used Excel macros, which are not an enterprise solution; they are more a personal automation tool. Some people were using Power Automate, still, that's not an enterprise solution; you cannot integrate it with the rest of the tools; it's just a Microsoft tool where you can only work with Microsoft products.

The primary drivers that led my company to choose an RPA tool and eventually Automation Anywhere are its capabilities to connect and integrate with other systems of records, not only with specific brands like Microsoft. When I started in 2017, we decided to use Automation Anywhere primarily for its ability to interact with various systems and it was regarded as an enterprise solution.

I have seen a lot of benefits using Automation Anywhere. We currently have around 50 automations running in production, and I am confident that we are saving several million dollars as a result. I cannot provide those numbers right now. Still, I can see many benefits emerging. We work very closely with the legal team, who have to do a lot of manual work; we basically help a lot. That's my main customer right now. The next important customer is technology and digital technology, and then finance. So from all those three teams, I'm covering probably 80% of the company. As a financial institution focusing mainly on financial advice, we will be opening a completely digital bank in the next few days.

I am aware of the existence of other tools, however, I have not evaluated them. When I started in my previous company, there was a prior agreement for me to use Automation Anywhere. When I joined this company, they were already using it; my understanding is they were at some point evaluating UiPath, however, the cost was a huge decision-maker.

I work in the banking industry as the Intelligent Automation Manager for engineering. I joined this company almost a year ago, and I worked before that for one of the largest banks in the US.

My advice would be to ensure proper planning before adopting Automation Anywhere. First, you must define your environment, focusing on security and compliance. Governance is key, and once you are set up, ensure you are developing proper metrics since you need to show management the savings generated from automations. Once you've established that, implement best practices and standards, create a framework, and I wish anyone good luck; they likely will be successful.

I would rate Automation Anywhere as an eight out of ten. It's a great solution, however, there are limitations with tools COE Manager and Document Automation. I have seen some restrictions in the system, and making improvements to tools Fortress IQ would enhance our experience. I understand Automation Anywhere's operational goals, however, maturing these tools would make it an even better solution from my perspective.

Something I have observed repeatedly, as a technical person who engages with various attendees at Imagine events, is the need for clarity when new solutions arise. AI is excellent. That said, my question is about data storage; will data be kept within our control? This topic is crucial for compliance and legal approvals. I think it would be beneficial to have more technical sessions demonstrating how new tools are implemented. For example, during a discussion on Document Automation at a conference, I was concerned about how data moves from on-premises to the cloud, as it could take us out of compliance. More information on these aspects would help people understand the implications.

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.

We have use cases for Automation Anywhere in underwriting claims, HR, IT support, and various other areas. It's mixed. 

We completed our first document automation POC this year with Automation Anywhere. We don't really use it extensively yet. The use case we were trying to use it for did not work that effectively, however, that is probably more of a use case identification and selection issue. 

We were trying to apply Automation Anywhere to a catch-all contract-reading program. There were no good requirements, and we simply wondered if it could read the contract. While it could read contracts, we didn't have good planning for what to do with the information once we created it. We didn't have the human loop elements set up for exception handling at that time, which made it challenging.

Automation Anywhere has benefited our company as we've been able to process thousands of transactions daily through various automations that distribute work, classify work, and handle claims, doing preliminary work for the finance team. When an adjuster first sees it, they don't have to access multiple systems to gather information because the automation has already completed that task. It has been really useful for traditional RPA, which remains our forte.

What I appreciate most about Automation Anywhere is how easy it is to use and test, particularly the debug feature. I've been doing considerable development this year. It has been easy to put together looping and if logic. 

Automation Anywhere could be improved by staying more current with Microsoft products through packages. There have been challenges with their email package. For a long time, they didn't have an effective one, and with new Outlook releases changing how Microsoft handles emails, the package hasn't been updated to accommodate these changes. It still uses old, deprecated Microsoft components that have an end date. 

There have also been struggles with other Microsoft suite applications, such as SharePoint. They moved from their old REST to a graph API, and the packages aren't configured to accommodate that out of the box, requiring the use of generic API commands instead of the out-of-box packages.

I have been using Automation Anywhere in the company for six years.

Automation Anywhere helps overcome challenges with decent sales representatives who make calls on a cadence, and we can set up meetings easily. They provided technical architecture consulting for a few hours with some of our leaders.

I didn't use another solution before choosing Automation Anywhere. Currently, we are also using Microsoft Power Automate extensively.

The deployment was fine. We had to get some servers set up to deploy some service accounts created to have the bot runner licenses and set up some users in the control room. It really wasn't that complicated.

For what we have in the traditional RPA space with Automation Anywhere, the pricing is good. The licensing hasn't caused any concerns. I'm not familiar with the pricing of the agentic features as we don't have them yet. For the traditional functionality, it has been feasible.

We considered UiPath six years ago before choosing Automation Anywhere. I didn't personally evaluate UiPath as that was before my involvement. Automation Anywhere is more robust and functions more as a platform for integration, embedding, and orchestration. Power Automate is faster to set up and cheaper for our current uses. It doesn't necessarily work better with Microsoft products than Automation Anywhere does.

The main challenge we were trying to solve when implementing Automation Anywhere was entering the emerging space six years ago. Currently, we're determining our path forward with agent process automation and AI. We have an AI council and are still determining where it fits into that picture.

In the age of agentic AI, our company's biggest challenges include getting buy-in and understanding across the organization. All decision-makers and stakeholders need to understand what's possible, what competitors are doing, and how the industry landscape is changing. There aren't necessarily challenges with the software itself. It requires funding and getting people who make decisions to see the vision.

We don't have the AI Agent Studio feature of Automation Anywhere. AI governance is extremely important in our company and has been somewhat of a blocker. We've been working to form a council and determine how our company will use AI, which remains an ongoing process.

We don't have AARI for autopilot capability and have never utilized Automation Anywhere COE, Center of Excellence. We are deploying Automation Anywhere to the cloud. We aren't using API with Automation Anywhere yet, mostly focusing on RPA, though we're considering API usage.

I would rate Automation Anywhere an eight 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.

As a financial institution, a lot of collections activity processing, invoices, and billing related to our collections activities is my primary use case for Automation Anywhere. That's really where I've been focused for these past few weeks. We're expanding into very ground-level things, consolidating reports from multiple systems, doing these basic use cases to start.

The features of Automation Anywhere improve my company by making deployment and maintenance of our automations a smoother process overall. We can make changes much quicker when we need to and it's definitely simpler for other affiliated people in the company to understand, including those who might not be working in the systems daily. It's put together efficiently enough that it's user-friendly for non-professional developers to handle.

The thing I appreciate most about Automation Anywhere is how integrated the aspects of it are. I also worked with another platform in a different company for two years and it wasn't nearly as integrated, and it required a lot of effort and time trying to get everything to communicate together, from version controlling and deployment. The simple act of engaging was more complex. 

Regarding the development environment, I'm really pleased with Automation Anywhere and enjoy using it. One place I find regular struggles is with basic documentation, including details about different commands or applications that are natively in the system. I tend to have to do test development on my own to find answers that should probably be in the documentation. That does slow things down, but once I get the information I need, it's really great to use overall.

To make it a ten, I would suggest more access to basic information, maybe more distributed use of it on the web. I don't find a lot outside of the internal community forum. It doesn't get much attention or use on Stack Overflow or other public community platforms. The responsiveness and amount of community engagement needs improvement. When I post questions, I seldom get answers fast.  When I do, I am usually just directed to the standard documentation, which I have already reviewed and found to be lacking the answers to my questions.

I've been using the solution for two years at my current role, and a total of about four years altogether.

The deployment has been pretty smooth. We haven't had an issue with anything. Mostly, it's getting all of our internal security and things like that locked in so that we can go through.

I don't have any specifics about the pricing. It's not in my area.

We are not using Automation Anywhere AI feature set at the moment. We just took the training courses in the past few weeks and are learning about it, and I'm hoping to get hands-on sessions to get experience using the tools.  Right now, we're looking forward to developing some use cases that we can start engaging.

The biggest challenges for me and my company in the age of AI stem from being a financial institution and credit union, which creates a particularly conservative environment. This takes more evangelism to get adopted, as financial institutions tend to have more regulatory compliance issues that we must be very conscientious of, so we have to proceed slower on that front.

AI governance is definitely getting attention and discussion in my company. Everyone has accepted that it's going to be a huge part of the landscape in the very near future, so it's important to ensure we have everything managed and planned within compliance for protecting private, personal information.

With our department structure, I personally don't utilize the Automation Anywhere COE, or Center of Excellence manager. I believe our managers and business analysts do, but that's not something as a developer I get involved with.

We haven't deployed any document automation in our current processes. We've done extensive exploration and have paid contracts for a certain number of documents, but we haven't had a beneficial, deployable use case yet. We know they're there, but we have easier tasks to tackle first.

Overall, I'd give Automation Anywhere probably an eight on a scale from one to 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.

I mainly use Automation Anywhere to automate operations, and our main use case is processing banking transactions that are captured at the banking front end in the retail office, and then automated in the back end.

What I appreciate the most about Automation Anywhere is the ease of use and the flexibility that we have, being able to create bots very fast. It is very easy and friendly to develop. That is the main aspect of it.

The benefits of Automation Anywhere to my company include significant time savings and reduction in workforce requirements. While I do not have a general number, in the main process, we are saving approximately five to six full-time employees that we would otherwise have to employ to do this specific task.

The main challenge I was looking to solve with Robotic Process Automation is that RPA has some limitations since the software we automate changes continuously. We are looking into AI to enable applications that automate it.

In the age of Generative AI, the biggest challenge for me and my company is the learning process. AI governance is going to be very important in my company as we are a highly regulated business. It is not very advanced in terms of AI regulation, although we have it in our minds.

I am currently in a project to use Document Automation in my process; we are currently developing it. It is not yet in production, however, that is our main project currently. It has not yet impacted my efficiency.

Automation Anywhere can be improved in terms of complex logic implementation. While the application is very easy to use, we find that programming complex business logic could be better integrated into the native tool.

I have been using Automation Anywhere for five years.

This is the first solution I am using.

The deployment was good.

I am happy with the pricing, the setup costs, and the licensing; I do not have any problems.

I considered other solutions as part of the process. I cannot specify which ones, however, it is part of the banking process to evaluate several tools before choosing one.

I have not used the autopilot capability of Automation Anywhere yet. Regarding the Automation Anywhere Center of Excellence or COE manager, we have a project to start using it, however, we are not currently using it for the purpose.

I would rate Automation Anywhere a nine out of ten.