Automation Anywhere Reviews

We primarily automate tasks in the financial area, including invoice processing. We can automate audits and do onboarding and offboarding as well, among other tasks. 

Automation Anywhere is simplifying processes. It is helping us create better customer experiences. 

The Co-Pilot feature is one of the features we really like. It's helped accelerate automation adoption more broadly across our organization. There are a lot of use cases for it. Co-Pilot has helped us increase productivity. Automation Anywhere in general makes tasks faster. We can do jobs in a couple of minutes versus hours or days.

We can do automation for some complex issues.

Before the processes were automated, there were a lot of gaps and places where human error could occur. Processes that took days and days of time are streamlined and reduced significantly.

Even for users who don't have technical knowledge, there are drag-and-drop features that help them create automation. They don't need to be technical. 

It's helped us free up staff time to work on other tasks. All of the people who were initially part of the job processes can be moved off to other things. The automation handles the tasks. 

We have other tools integrated into Automation Anywhere, including Microsft Programs. 

The integration of automation into workflows and business applications has been good. It's been easy to adopt.

It's positively affected our business. We've been able to apply it to broader jobs and save time. It's enhanced user and customer experiences and ensures we have on-time interactions with customers. 

We've been able to save on time and cost. We've witnessed a lot of savings. We're able to spend a few minutes on tasks instead of hours or days. 

It can provide automation at scale. We've been able to develop programs that engage teams effectively.

We can go online and learn about what we learn about Automation Anywhere. There is AI training on the roadmap, and we're excited to see how much AI will enhance the solution in the future. 

We'd like to see more AI features.

Technical support was okay. They have been able to supply patches to us for issues. 

Positive

We did not previously use a different solution.

The setup process was easy. We were able to leverage some time savings during the deployment. We didn't have too much downtime.

We initially began the deployment with a reseller. 

The pricing and licensing are reasonable. We were able to get what we needed. The vendor understand what we wanted and offered certain pricing based on what we wanted. As we scale up, the pricing will change according to how we use it. 

We did evaluate other options and decided not to move forward. 

I'd rate the solution at nine out of ten.

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.

I use Automation 360 as an RPA developer to automate BPS processes. I have developed over 12 to 15 bots that handle back-office tasks. 

My current project is a UK-based water project. Previously, they would take the meter readings and send them to us for quarterly billings. We used to manually enter them in the system, whereas now, we have a bot to help us enter meter readings.

We have also developed a bot to open accounts for new customers. The bot takes all the input from the customer, creates an account, and sends a welcome letter.

Automation Anywhere has significantly helped my organization by automating tasks that were previously done manually by the back-office staff, resulting in increased efficiency.

A technical user can see the benefits of Automation Anywhere within a few days. After developing a bot, there might be some issues that need to be fixed in the bot. After resolving those issues, the benefits are immediate.

In terms of integration, I have integrated Automation Anywhere with some desktop-based applications, web-based applications, CRM applications, and Excel. I have also integrated Outlook where the bot sends an email through Outlook.

The recorder capture tools, specifically the AISense Recorder and Universal Recorder, are valuable. We use these tools in almost every automation. These tools are very effective in capturing data from various applications. We can get data from a web page or an application.

The integration of Generative AI is promising, though I have not yet developed bots using this new capability. It will be helpful for us in the future.

Automation Anywhere is a simple and easy-to-use solution with drag-and-drop activities. Automation Anywhere is easier to learn than any other tool. They also have Automation Anywhere University for learning. They upload all the videos there. They also have a good community.

Automation Anywhere has newly integrated the Generative AI feature. It should be more customizable. Currently, we can change certain parameters, but we would like to have the ability to do modifications within the LLM for better outputs. We would like the ability to fine-tune it. It would be better if Automation Anywhere could add some extra features for us to use the Generative AI feature.

I have been using Automation Anywhere for two years.

We are not facing any issues related to stability, lagging, or downtime.

Automation Anywhere handles scalability well with features like workload management, which helps in distributing tasks across different machines and bots. With workload management features, we can manage and distribute our workloads.

We have been facing an issue with the bots for the last two weeks. We have developed 15 to 20 bots for a client. After making any changes, when we push a bot in production and run it, the bot gives a preprocessing error. We were not able to find the reasons for that error, so we contacted their support and created a ticket. They got back requesting the log files. We need to take those log files from the client and provide those log files to Automation Anywhere support. They have been responsive so far and are working on resolving our issues.

Positive

I have used other tools such as Selenium, UiPath, and Power Automate to automate processes but have not extensively worked with them. I primarily work with Automation Anywhere.

Currently, we are using it for one client, and for that client, it is deployed on-premises. The initial setup was quite straightforward, but I was not responsible for the deployment. My role is focused on bot development and testing, while other team members handle deployment and maintenance.

I have not worked a lot with earlier versions or migrations of Automation Anywhere, but I have experience in migrating a bot, which was easy. I could easily migrate a bot from version 11 to Automation 360.

I recommend learning one RPA tool thoroughly before moving to another. With advancements in AI and ML, it is crucial to look into how to integrate these technologies into your automation.

A person without any technical knowledge can learn Automation Anywhere within one or two months. When a new employee joins our organization, our internal trainer gives them training for four to five weeks. Every week, there are two to three sessions of two hours duration. After about 15 sessions, our employees are ready to use Automation Anywhere to develop bots.

I would rate Automation Anywhere an eight out of ten.

Coming from a startup background, we lack a formal administrative structure. This means we operate without established procedures and often tackle daily tasks, such as Excel updates or attendance tracking, on an ad-hoc basis. To address these challenges, we develop internal proofs of concept and present them to clients. In my previous role, I automated approximately ten web- and Excel-based processes using Automation Anywhere.

We implemented Automation Anywhere to address the challenge of manually entering data, such as transferring thousands of rows from Excel to a web application. When performed manually at a rate of 200 records per day, this process typically takes five days. By utilizing RPA technology, we can drastically reduce this timeframe to a matter of hours. Our primary goal is to minimize labor hours and enhance efficiency, enabling employees to focus on higher-value tasks like logic and content development instead of repetitive data entry.

The generative AI is helpful for jobs that fail. It will try to redo the same operation by implementing different numbers, and if it succeeds, it will automatically continue the process.

The task process, before and after Automation Anywhere, requires a series of actions performed by either a human or a bot. Previously, without automation, the process was identical. Rather than having employees sit at computers inputting the same data daily, automation allows for their redeployment to other areas such as administration, cash flow management, or payments. The goal of RPA is not job elimination but to enhance efficiency. While automation platforms can handle many tasks, they are not infallible and require human oversight. Regular maintenance and monitoring are essential for any automated process.

The initial learning curve for Automation Anywhere will be challenging because the drag-and-drop interface differs significantly from traditional coding. While packages are used, the underlying logic is expressed visually rather than textually. This transition may take one to two months as users acclimate to the new terminology and approach. Once familiar with the platform, developers will find it easier to construct automation processes due to their existing programming knowledge, which includes concepts like string operations, conditions, loops, and other programming language constructs. Although the terminology will be unfamiliar, the underlying logic remains consistent, making the platform more accessible over time.

The training takes at least four months for technical employees to learn, understand, and implement what they learn.

Automation Copilot is a valuable tool for streamlining daily tasks, but human oversight is essential during execution. For instance, if a sales representative quotes a package requiring managerial approval in a tourism scenario, the process should automatically route to the manager for confirmation via email, message, or another preferred method. While Automation Copilot is beneficial, it's crucial to incorporate a mechanism within the process to handle this manual intervention.

Organizations can benefit from Automation Anywhere's document, web, and Excel automation capabilities.

Automation and AI used to be a frightening prospect for our clients, who feared job displacement. However, they have embraced the idea after experiencing how these technologies can free up their time for more critical tasks.

Our organization has integrated Automation Anywhere with Epicor, Aurora, Dynamic 365, SAP, and Power BI.

Due to the numerous internal teams and domains, Automation Anywhere has been implemented across various IT departments within our organization. Multiple processes within each team have been automated using Automation Anywhere, from account management to application maintenance. These automated processes often involve handling documents, APIs, Excel files, or web-based interactions.

The most valuable feature is the back-end process automation. I primarily encountered this issue in back-end operations. To illustrate, consider the medical industry where I previously worked. ICD codes, a critical component, must be mapped by the administrative department. Traditionally, reconciling a single report was a manual, ten-hour task. Automation Anywhere offers a clear advantage over other market solutions by streamlining these time-consuming back-end processes.

Although the UI and elements are user-friendly, it is still difficult for business users without experience to understand how to use Automation Anywhere.

Automation Copilot has generated a strong foundation, but its analytics capabilities lag behind competitors. While Automation Anywhere offers numerous built-in dashboards, its data visualization options are limited. In contrast, Microsoft Power Automate provides extensive data manipulation and visualization flexibility, allowing users to create various chart types and formats. To remain competitive, Automation Anywhere must significantly enhance its data visualization features.

Licensing fees could be a barrier to entry for many potential customers interested in using Automation Anywhere.

A major drawback of Automation Anywhere is the lack of notification for all customers when upgrades occur. Without any information about these upgrades, it is difficult to determine specific details.

I have been using Automation Anywhere for five years.

I contacted technical support for problems related to the in-progress tab. In 2021 or 2022, numerous tasks appeared in the in-progress tab despite not running on the machines in real time. This led to the development of an API to address the issue. However, a new problem arose: when triggering the bot on runner machines, the bot was not actually triggered on those machines, yet it still appeared in the in-progress tab. This discrepancy persisted despite multiple reports, but the issue was resolved recently.

Neutral

The initial deployment is straightforward.

BotCity is a newcomer to the RPA market, currently holding ninth place on the top ten list. They are rapidly expanding and offer a unique advantage: no additional software is needed as long as the system supports Python.

I would rate Automation Anywhere seven out of ten.

Maintenance is required for server-based environments but not for cloud-based architectures since Automation Anywhere is self-hosted and managed by them.

I automate data entry by receiving files from one system and making data entries into other applications. Additionally, I perform file transfers by receiving files from one system and uploading them to another application. I also have OFAC verification procedures, which were previously done manually. I enter a local application, and depending on the pending cases, execute all verification processes automatically, sending responses to other applications. Basically, I have extensive data transfer automation. Moreover, I have automation that receives a file from another system and executes a procedure or invokes a web service to upload or create other things.

The product, in general, is more stable. The latest version provides easier vulnerability management. The new version offers a better experience in recognizing objects. The Co-manager tool helps calculate saving costs. Many of the issues I had in version eleven were resolved in version 360. The cloud version of Automation Anywhere 360 eliminates all the vulnerability management, making it much easier to manage. The application replaced about three employees for the OFAC verification processes, thus eliminating the need to hire more people for those tasks.

The new version requires one project to be open at a time, making it slightly more difficult to manage tasks compared to the previous version. They sell every different functionality in too many separate packages, making the procurement process complicated as it requires paying additional licensing for more features.

I have been using the solution for about six years.

The support is good. Sometimes the technical team doesn't know too much about the situation, and they rely on knowledge articles. However, they have improved.

Neutral

This is my first RPA solution. I have other automation solutions in my company, but this was my first RPA solution.

The initial setup for the initial version, version eleven, is not too complex, medium. The latest version is easier because it requires less infrastructure.

One person was involved in the deployment.

The bot replaced about three employees, saving hiring costs.

I think it is expensive. It is not a cheap solution. Though there are other options that possibly can be less expensive, this is not a cheap solution. It's not for everybody.

My supervisor conducted research based on the Gartner reviews and decided to go for Automation Anywhere. This analysis was made several years ago.

The overall rating of Automation Anywhere is eight on a scale of one to ten. Other departments in my company use Control-M and Ansible for automation. If I did not have Automation Anywhere, we might have needed to hire more people for certain processes. I don't have any direct integrations, but I do have several project integrations via file or triggering a bot when an email is received.

We use Automation Anywhere to process our collections. 

We couldn't hire more people, but we had some information stored in Excel that we needed to distribute. The sales information was centralized in one area, so we automated the process of putting the information into Excel so everyone could help themselves. The benefit we get from this is increased efficiency. The bot performs the tasks four times faster than a human. Our goal is efficiency, not replacing bots humans with bots. We wanted to do more with the eight people we had and allow people to focus on what was important.

We got what we wanted, but the implementation took slightly longer than expected because we changed our methods and partners. We had some issues with our partner at the beginning, but we implemented the software in one or two months. It was fast.

I think the person in charge over there has the same mentality now, but we wanted to automate everything that is transactional or everything that impacts the client at the end of the day. We were looking to use AI to make development or programming more efficient, like finding some codes. I know Automation Anywhere has some kind of AI incorporated in it that can read PDFs and stuff. That would be nice to use, but I haven't had a chance to implement it.

We were working on a system called AS 400. Automation Anywhere performed well on that old system. It handled complicated processes. I had to review different menus and screens and give resources, storage, and databases. That's complicated.

We found a local Automation Anywhere expert and then trained someone inside the company to be a developer. This person had technical skills, so it was easy for him to understand the things in Automation Anywhere. The learning part was kind of quick, but I don't think that would be easy for a normal business user. I think it would be more complicated for a normal business user. I won't say that I learned all about Automation Anywhere, but I know how to automate simple tasks I learned by watching some videos and checking the community forums.

The Insight feature could be improved. I don't think there's a lot of information about how to use Insight, so you have to try different scenarios to understand that feature better.  

If I compare Automation Anywhere with UiPath, which has something cool that lets you automate a workflow. We have no positive response when we try to use it with Automation Anywhere. We are doing everything by code and the drag-and-drop component.

I don't think it's easy because Automation Anywhere is marketed as a low-code solution, but it isn't low-code at all. It requires some programming skills, and I don't think it would be easy for a non-technical user to program something on Automation Anywhere. 

One challenge the company faced while integrating Automation Anywhere was people. The IT department is big and has been divided into different areas, including databases, infrastructure, and support. To adopt automation anywhere, you have to put everything on the table and see what you want to do.  I also require resources with the capabilities and technical skills to program in Automation Anywhere.

We have used Automation Anywhere for four years.

I rate Automation Anywhere support nine out of 10. The support is good. The team from Colombia responsible for selling in Latin America can provide whatever you need. I don't have any complaints about that. They are always willing to offer you proof of concept in case you have to use it. I talked to somebody in Colombia because we wanted to do something in terms of proof of concept about document automation because we had so many processes that included PDFs. 

Positive

Automation Anywhere is deployed on the cloud, so I think it was very straightforward and fast. It took around one to two weeks.

Automation Anywhere is somewhat expensive. The prices are slightly higher, but if you need something, you must pay for it.

We also evaluated Blue Prism.

I rate Automation Anywhere 10 out of 10. I would recommend It for a medium-sized or enterprise business. Because of the cost, it isn't appropriate for a small business. The solution itself is good, but it isn't a low-code product.

I have been using Automation Anywhere for more than a year in my college laboratory. I utilize it for editing, collecting student assignments, data entry, report generation, grading multiple-choice questions, managing lab equipment, student communication, and automatic software installation or updating. The primary functions include handling repeated administrative tasks, data entry, feedback generation, grading processes, maintaining lab equipment processes, taking attendance, and communicating with students. If any software installation or update in the lab is required, I manage it with the help of labs.

The task bot is the most valuable feature, which I use primarily to automate repetitive and rule-based tasks like attendance tracking, grading, and report generation. I also utilize IQ Bots for more complex tasks involving unstructured data, and email automation for sending bulk reminders to students. It reduces my work time significantly, giving me the ability to focus on other manual tasks. Without Automation Anywhere, my tasks would take much more time, as these repetitive human tasks need daily attention.

Overall improvement is needed for non-technical users who face challenges with how to use it and how to perform more tasks. It should be more user interface friendly for non-technical users and enhance its ease of integration with third-party applications.

I have been using Automation Anywhere for more than a year in my college laboratory.

When we discuss its scalability, it is available across various departments and adapts well.

There are many FAQs, personal calls, and community forums available. Technical support can be easily obtained through official channels, although sometimes the community forum is not accessible to many users.

I used UiPath before starting Automation Anywhere. I also used Blue Prism, which was difficult due to its need for coding.

Initially, we found it a bit complex, but after learning about it, it served us well. For complex tasks, deployment takes about two to three days.

We can achieve nearly eight lakhs per annum in total savings by using Automation Anywhere.

I recommend Automation Anywhere to other users because it minimizes repetitive human tasks, saves time, and helps reduce costs. I would rate Automation Anywhere nine 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.