Our use cases are around finance processes and one business function that we have a lot of automation. We're an agriculture and supply chain company, so we also have a lot of processes that would deal more with order processing, order management, customer service, and those types of processes.

We also have a use case from a document processing standpoint. We have a use case where farmers in Asia, in the APAC region, would handwrite inventory of that particular product, send a photo of it, and then someone would manually take that information and put it into the system or put it into a spreadsheet. We've been able to automate that. It not only saves time, but the data is 85% to 90% accurate versus it used to be about 60% beforehand.

We're finding time savings as a benefit. One example would be a customer service rep might get a question about an order, usually through email. It can take a good three to seven business days to answer a customer's question about their order. When we automate it, it takes hours, if not minutes.

We also are building out a new model for our metrics. Our biggest challenge is because Cargill is an international traditional company, we work with many different regions that have to abide by certain local rules and regulations.

We don't have just one order management process at Cargill. We have over one hundred and trying to simplify those processes first before we automate it is our biggest challenge.

We're in conversations with Automation Anywhere now about process discovery. We've just kicked off. We are installing a tool with process discovery that we still haven't figured out what the best practice for utilizing it with Automation Anywhere will be.

We have a federated model. We are a center of excellence. We own the platform, and we build out the governance framework. We also provide training and updated communications to all of the users.

The learning curve is small. It takes only about four hours to learn it, but hands-on experience is different. That's what takes a little bit longer. Some users sit within IT, and some of the users sit within the business. It's fairly easy to teach others to leverage it. They have to have an interest in learning it, but it's fairly easy.

Overall, Automation Anywhere has helped us save time. But we're also looking at customer satisfaction. We track sustainability numbers, if that comes into place. So we have a lot of different metrics that we look at versus just time.

One of the reasons that we chose Automation Anywhere years ago was because of the security because we need to secure both our customer and our vendor data.

We have a lot of confidential data that we work with every day.

Automation Anywhere has an audit tracker feature. When you build a bot, it has a trail of how you went about developing that particular bot.

We integrate other tools within Automation Anywhere. Overall, it's fairly easy. We have about 265 bots in production today. We see bigger challenges on the business side if they change a template and then fail to tell us that we need to change the bot.

We leverage IQ BOT. We have another tool that we leverage as well for document processing called Intelligent Document Processing (IDP).

I want to learn more about CoPilot and then the process discovery tool.

We are part of the Pathfinder program. It's more of a program versus a tool, but we're working with people to learn how we can scale our whole program using Pathfinder.

We've been using Automation Anywhere for about five to six years and continue to scale about 50 bots per year.

I'm very comfortable with being able to scale, especially now that it's moving into the cloud.

We've had really good support with Automation Anywhere.

We have weekly tech meetings with Automation Anywhere. I also have strategic meetings every week and quarterly strategy planning meetings. We have a really good support system.

UiPath was one of the competitors, and we did bring on UiPath specifically for the Chinese language. That program has not scaled as we expected so we really are an Automation Anywhere shop.

We're going through the 360 migration right now. The bots that we have in production are fairly complex. It hasn't been an easy migration. We're getting through it, and we have a lot of support to get through the migration. But it's really more of the complexity of our organization.

We wanted to put together a streamlined platform versus having puzzle pieces and taping them together using different vendors.

I wanted us to be more streamlined so that we don't have glitches down the road with upgrades and version updates. That's one reason that I wanted to stay with Automation Anywhere.

Overall, I would rate the solution a seven out of ten. The only reason I wouldn't rate it higher is because a COE Manager still not getting the full benefit from it and because the premium is a little bit expensive. We don't necessarily have the budget to bring on a full new feature. Also, the process discovery tool is taking a little bit longer to implement than I thought it would.

Some of our use cases for Automation Anywhere have been embedding automation into our AML process and Anti-money laundering process as well. Also using automation to navigate some of our legacy applications to extract information from the UI.

The challenge we're trying to solve with Automation Anywhere is extracting information from our legacy applications. We do not have exposed endpoints. We have to use Automation Anywhere to be able to navigate and extract information for customers and from data information as well.

The processes and tasks automated by Automation Anywhere are a little bit more detailed. What we've come to figure out is the processes previously were not documented correctly. And Automation Anywhere allows us to get more insight and documentation out of our processes.

One of the immediate opportunities we see to leverage AI within our processes and our operations is customer service. Leveraging the natural language models and human response to be able to generate customer-focused responses is something that we plan to leverage very soon.

Automation Anywhere has improved our organization by allowing our resources to focus on the task at hand that impact our customer, while we use Automation Anywhere to replace some of the redundant work that some of our users and internal team members are facing.

Our company approach to generative AI for Automation Anywhere is more in line with building the future, allowing us to enhance our processes without necessarily embedding our internal team members with redundant tasks, allowing them to focus on the actual deliverables of a business versus generating a response to email or reading email. Allowing them to be a more human-focused team member.

Looking into Automation Anywhere in terms of the relationship with AWS, we manage our servers locally for our VMs and are looking to migrate to AWS. The partnership with AWS will allow us to integrate some of our processes and allow access to some of our DVs. This will be a good improvement for us.

Automation Anywhere is easy to use for people who don't have experience because it is a no-code solution and is user-friendly in terms of being able to generate automation with a plethora of available tasks and variables.

One or two automation walkthroughs of the actual process are required to learn Automation Anywhere. It takes a short amount of time for a user to get acquainted with Automation Anywhere. There are some latencies with being able to expose certain things such as APIs or establish a certain connection, but building automation is short in terms of development.

We have a few tools that are integrated with Automation Anywhere. We use a lot of Microsoft tools. Azure AD is integrated directly with Automation Anywhere and allows us to expand our ability to automate processes. We also have some desktop applications and some proprietary software that we would like to integrate with Automation Anywhere.

Automation Anywhere is a robust platform that allows us to make multiple connections and scale horizontally across the actual environment to give us a more robust integration or automation that allows for downstream impact whether it is internal users or external users of our products. It allows us the ability to go horizontally fast with a lot of multiple integrations of products.

Automation Anywhere has helped us save time and costs, sometimes in the same automation as well as replacing some of the redundant tasks. Some of our users are giving us the ability to scale quicker without adding additional resources. That saves costs. We save hundreds of hours with some automation and two to three hours for others, but the cost impact of being able to do that with automation has saved a ton of costs as well. We have a lot of bots running daily, manipulating and removing the redundancies of those manual tasks. The resource costs saved equal hundreds of thousands of dollars.

The feature we found to be the most valuable is the documentation automation as it allows us to focus on the actual important piece of building automation instead of tracking some of the repugnant documentation that goes along with building automation.

Automation Anywhere's network has room for improvement. Expanding its partnership with a few other vendors. The likelihood of including companies like AWS, Google, and things like that is the exact approach to what I think Automation Anywhere can improve on. It allows business users who participate and are clients of those vendors to a seamless process integration with Automation Anywhere. This allows for an ecosystem that supports a more robust development of automation because we get a broader use case amongst multiple users of the same product.

I have been using Automation Anywhere for four years.

Automation Anywhere allows us the ability to scale across multiple platforms and in different volumes. At a small scale, we don't have to readdress that automation or that bot to be able to scale if configured and built correctly. It is a very scalable approach that we can take in terms of the integration that we have access to. It allows for an open platform to be able to scale.

The technical support is user-friendly. They are responsive and normally respond within 24 hours. They provide us with updates so we are not left in the dark and keep us involved. They make sure to follow up with a call if anything is needed.

We did not use any automation beforehand but we have a partnership with Workato that allows us to leverage more API-driven automation as well. We utilize both due to the actual diversity of Automation Anywhere. It gives us the ability to navigate a UI, a more legacy application whereas Workato gives us the ability to connect APIs. We use both of them in the same automation platform.

It took us a month to deploy. We set up a few runners or virtual machines to be able to do that work with our IT team who configured some of the runners and made sure that we embedded applications that were gonna be useful and practical for the actual automation itself. We then walked through a few test automation and were able to deploy our first automation within a month.

Automation Anywhere pricing and licensing are competitive compared to the other automation vendors. Automation Anywhere gives us a platform to scale quickly without embedding a lot of costs on our end. It is reasonably priced.

We evaluated the landscape of automation and the partners and vendors that offer the service before we chose Automation Anywhere. My positive previous experience with Automation Anywhere helped make the decision a lot easier for us.

Automation Anywhere is easy to use. It is a simple platform to understand. A simple platform to roll out. We don't need a robust education in terms of automation. We can train internally. We can expose other POs or PMs to the actual application and they will be able to give us additional insights of automation that we can improve.

The con is the resources assignment outside of our internal team members. Finding resources who have good experience variant with Automation Anywhere in the States may be a con for us.

I would rate Automation Anywhere nine out of ten. From what I have seen, they are headed in the right direction to get a ten.

We do not currently use Automation Co-Pilot, but we are excited to start using it. We are going to have a session about using Co-Pilot with our internal teams.

Upgrading Automation Anywhere is simple in terms of the control room to be able to do an upgrade or speak to our account executive to get additional licenses or products added to our instance.

Maintenance depends on how we build the automation. We keep in mind the actual process of being able to manage automation as we build it, which will ultimately save us a call for maintenance at the end. Being able to enable notification error handling within the automation helps reduce the actual maintenance requirements for automation.

Not many people are involved in the maintenance of our automation because we embed some of the process owners into the process so they are aware if a bot was to fail. Then we give them corrective actions in terms of exception handling to be able to oversee that bot as well as to reinitiate a bot or add additional variables into the bot to allow the success of that bot. A minimal amount of people are required for bot maintenance.

Initially, when we started, we were using it for back-office automation. The solution has definitely evolved. We're focusing on implementing customer and experience-facing use cases. Time is the most valuable piece, and that's how we measure the success of automation now.

The solution is helping our customers save time.

We were trying to solve a few different challenges with Automation Anywhere. For example, during the pandemic, gaining bandwidth was huge. Hiring while shifting to remote was challenging. There was such an accelerated use of the technology during the pandemic. Having to integrate with existing and older systems was key. That flexibility to work with other applications and other aspects of the platform really drove our decision to adopt more and more of the solution.

We've noticed time savings. The time saving varies. We look at how much value the customer gets. We've noticed time savings of up to 40 minutes, based on wait time and verification delays. Sometimes, we might only be saving a minute or slightly less. However, this is a slightly higher volume scenario where something needs to get done by the end of the day. It offers a broad range of time savings. For example, if someone calls in for the healthcare side to get benefits verified. Typically, that would take 45 minutes in terms of gathering information and validating information and prep work both before and after. Now, we can do that autonomously in a matter of minutes.

Within the processes of automation, robots learn differently than humans. They are very interactive and literal. Diving into that tribal knowledge that makes an organization unique was really what we had to do differently. For example, if you tell someone, "Go check your email," they know what that means. With a robot, you have to translate that action into a specific language, and that was the challenging part from the process side.

Copilot is great at bringing agents and humans into the loop. Creating that AI assistant that can almost tell someone the next step, that suggested intelligence, is helpful. Getting the data an organization has over to a customer very quickly is effective with Copilot. Simple queries that may take 15-20 seconds to answer, you still have to, for example, to find the number, make the call, et cetera, and suddenly that 20 seconds if two minutes longer. Having that information ready in a conversational way is where generative AI can really help compress time.

There's a lot of human involvement in the workflow. Automation Anywhere does a fabulous job of integrating users into the workflow. That's important. You wouldn't be able to automate with just the technology. Teaching users to interact in a relatable way with relatable interfaces has had a big impact on the business users' side.

Understanding the technology is very easy based on the way it is positioned. There are a lot of great resources out there.

How much time it takes to get comfortable using the automation process varies. You need to gain the knowledge of understanding ways to do things, then have the practical knowledge of how to apply; then, there's a third piece of constantly improving, monitoring, mentoring, and iterating. That piece is ongoing.

Copilot is helpful for pure-play back-office stuff. From the call center side, it's integrated and becomes available as an option as well. Any document processing is great for Copilot.

With the new enhancements, it's very easy to integrate. It integrates well with infrastructure solutions and testing products, as well as data and analytics.

The integration with workflows has only been enhanced over time.

In terms of document processes, there is some uncertainty between structured and unstructured. However, the intelligence applied cut down time by 50% or more. That's in time to do the work, not necessarily accuracy.

In terms of APIs and applications, when automation first came out, they shunned APIs. That was a challenge due to the fact that, when you sold it to an organization, they asked why it would be done a certain way when they already had an API. Now, it's making it easier to use solutions. You can bring in your tool kit and create synergy.

Copilot has helped us increase productivity. It's a new feature, so it's hard to quantify. I do see the established value increasing exponentially.

The product has helped us free up staff time. The biggest thing we measure is experience. If it's moving towards higher-value projects, it's great. However, so is going home and not taking work home with you.

If we look at the concept of bringing automation to a broader user group in an organization, the focus right now is on how to build it properly. We're building it out with instruction manuals and working to make it more user-friendly. We need to do a lot of work from the perspective of education. The messaging is essential. Also, figuring out the platform so that users know where they need to interact. We're pointing users towards that and giving them the help to do that. The messaging and education around how to leverage the platform need to be more precise. Understanding what the benefits are going to be needs to be very clear.

When you are implementing it initially, it's challenging as there's a lot of change management. That's where the lessons need to be learned. That curve is hard to overcome.

There are more challenging integrations that should be left to more expert users.

We've been using the solution since 2015. It's been about eight years now.

Technical support is good. You don't have to reach out to them very often. The new layers are great. The services you get alongside the solution are helpful, and combining that with bug fixes, et cetera, makes it fit for purpose for all uses.

I'm familiar with other options. The difference is the people side of things. The team outside of the technology, the people putting it together, is what makes the solution itself better.

It's important that Automation Anywhere is easy to use. There's an intimidation factor when you present people with a massive ecosystem. It's practical and fit for purpose from the outset, yet very flexible and versatile.

I was involved in the initial setup.

If you start out pretty simple, the challenges that cause delays are more from change management and security and clearance. That's outside of the platform itself. That takes 80% of the time.

You can stand it up in a couple of days, however, it can sometimes take a month for reasons outside of the platform.

You can get things going within a week, which you can iterate on pretty quickly.

Maintenance depends on usage. There are tools where you can build automation to provide alerts. You need someone who's at least slightly dedicated to that. Once you get bigger, you'll need a dedicated team, and then you have to figure out how to prioritize your time, in terms of evangelizing it, making more automation, et cetera.

The pricing is okay. We've established the value of bringing it into our organization. For scaling, you can't beat the price of adding a robot that provides basically unlimited scale.

Our strategy when it comes to automation and AI (and generative AI) right now, as with any technology, there's a lot of buzz. Historically, we've had periods of punctuated innovation, like automation in general, that was a real change in how organizations did business. Right now, we're seeing an iteration of that with generative AI. We have the foundation down with these platforms. Our strategy is the same: understand the technology from the people's side. We're the ones using the technology. You can't blame a piece of technology - it's still on us. We need to establish it. At the end of the day, we need to own it. Technology isn't a silver bullet. However, if we approach it right, we'll have all the success in the world.

I'd rate the solution nine out of ten.

We mainly use Automation Anywhere for pod development, to automate repetitive tasks by replicating them into bots. We conduct tests and POCs with other tools that Automation Anywhere offers. We try to see what's the best fit for our company. Because of the large offering of different tools, we see how we can leverage them and identify if they are the best solution for our teams. Mainly, we use Automation Anywhere for RPA bots for automation.

We wanted a tool that was easy to use and to implement, that we could leverage to then do the applications, and it was quick enough in our trial that we could just take our opportunity, design, and develop the requirements, and then build the solution from there and help the business with tasks that didn't add value to their processes.

We currently are looking at different use cases for AI such as document automation, process automation, product automation, communication, and many others. So we are looking at different platforms, including Automation Anywhere. Now that Automation Anywhere is offering the AI capability we want to see how we can best feed to our company and leverage AI to help us implement processes, and projects faster and automate processes in a way that will help our business.

When it comes to generative AI, the technology is here, and it's open to people to use. We wanna make sure that we leverage fully, to continue being a leader in the market. Generative AI is here to stay. We wanna make sure that we get the best use of it while maintaining quality and transparency, and making sure that we have all the security in place to leverage generative AI.

I did not have a technical background and I was able to build my first bot using Automation Anywhere after just one course. The learning curve is simple. Automation Anywhere has prebuilt blocks so we don't have to code. It is user-friendly and simply a matter of understanding best practices because we can build blocks and create with 50 steps, but we can also create with five steps if we are using best practices. When we start using the solution we look at different ways to approach the same problem and best practices so it gets better. It is a straightforward and user-friendly platform to start our journey with RPA and automation.

We are trying to start using Automation Co-Pilot but we have not fully deployed it yet because we are still trying to create the connectors. We do see the value of Automation Co-Pilot for our business. We want to be able to add humans into the loop and trigger bots. This way businesses can review the processes and even make changes. It is a better interface with fewer clicks and added value for the business user.

We touch every application in our business with Automation Anywhere. We connect to some using APIs and others through the UI depending on the applicability of the solution we are building.

Automation Anywhere is easy to implement and integrate with workflows, APIs, and applications.

We do have savings with Automation Anywhere. When we implement, we look at how much time we are saving the person and how much we can save by reducing the repetitive manual work for a business user. We have a good amount of bots that we have developed that help save the business time.

Even though we haven't used all of their features for some of our use cases, because they look at the end-to-end process, it's very useful for businesses that are starting their journey. They can build an end-to-end solution with Automation Anywhere. In our case, we leverage the automation RPA solution, but we do see other use cases to leverage other tools and applications that they prefer.

My background lies in continuous improvement, and as a black belt, I think we always have the opportunity to improve. Automation Anywhere is always looking for what is next. Even though they may have implemented something today, they are still looking at what can help our clients in the future. That is a great way to have the right offerings for clients and more of an opportunity to build a bigger community on the automation group and leverage that with the lessons learned and the challenges. Automation Anywhere is headed in the right direction but they still have a good way to go.

I have been using Automation Anywhere for one year.

I appreciate the technical support of Automation Anywhere. They are knowledgeable, senior, and jump to help us find the right solution and assess from our business case what would be the best way to approach it.

I would rate Automation Anywhere eight out of ten. It is a great tool that is easy to implement and they are always looking for what is next.

The time it takes to learn Automation Anywhere depends on what the user wants to do with it. Do they want to be a developer, a business analyst, or help businesses understand processes and identify opportunities? If a person has a good understanding of processes it can take anywhere from a few months to a few years. For a developer, it can take a bit longer.

When we analyze a problem, we consider the most effective solution, which may not always be automation or RPA. We employ other tools when appropriate, but Automation Anywhere is frequently used in our process improvements.

When there is a version change we have to conduct maintenance. It is a fair amount of time but not so much that it would impact the quality of our services.

We have a group of close to ten people who have a relationship with Automation Anywhere and deal with the maintenance.

We have a bot support group for our full portfolio because we have attended and unattended bots. This group supports the bots 24/7.

As our business is a mortgage company that provides loans to borrowers, we use Automation Anywhere to automate business processes to help the end users process loans faster.

The application's response time is slow when using your desktop and trying to process an application. However, when you apply automation, it can work overnight. You don't need to sit at a desk and watch what's happening. It's all automated.

Prior to implementation, everything was manual. You couldn't inject other software, like APIs. However, with AA, you can bring in any number of tools that connect right into Automation Anywhere. This makes everything move faster. You save a lot of time and cost involved in processing the applications.

The recent update that included code analysis was very helpful. Previously, we had to go line by line. Now, inside the tool, it shows you which lines are hard-coded.

We've saved a lot of time. How much time we save depends on the process. It's likely at least 50%. Sometimes, it's up to 70%.

We've saved on costs by about 30%.

It's reduced human error. Using Automation Anywhere, we can eliminate a lot of human error by adding exceptions and identifying what's going on quite easily.

For users who don't have technical skills, it's not that complicated. It defines what every command does. It may take a few months to understand the process; however, going through the documentation and using the community versions and forums will make it easier to learn. You can find answers to any aspect you want to understand.

We did a POC with the automation copilot. It met some of our expectations. For some of the use cases, it will help in the future.

The copilot's ability to integrate with our day-to-day is fine. It helps employees working with it. It helps them to make things faster. You just have to provide some information, and the background bots will run. It might help increase productivity in the future if we implement it at the enterprise level. Outside of the POC, it looks like it might help with productivity.

The solution integrates well with other applications and third-party tools.

There are great tools inside Automation Anywhere.

With the automation copilot, if I have any internal tool or application and I want to pass on variables, I don't have it. Maybe the team can work on it to make it more efficient to make it work better across all automations.

I've been using the solution for four or more years. I started with version 10.x.

In the past two to three months, the support has gotten far better. Previously, we didn't have a live agent or live support, and now we do. It's great to have. They can respond immediately, and you can continue with what you are doing. You don't have to wait for support at all.

We did not previously use a different solution.

I was involved in the initial deployment. It took a couple of months.

It's relatively easy to upgrade. It depends on the organization. You need to add more variables and define the standards. However, it's not too complex.

There is some maintenance needed. When you upgrade versions, devices may be disconnected. Sometimes you need to go and check if the device deployment is happening or not, or a deployment may fail. We have about two people handling the maintenance of the solution. You simply need to ensure the bots are deploying on the right schedules and check errors or disconnects. In some cases, you may need to redeploy the bot. The time spent maintaining bots maybe three to four hours per day per person.

We also explored Microsoft's Power Automate. However, it wasn't as mature or up to an enterprise level at the time. Automation Anywhere had good standards and excellent support, in terms of architecture, design, and user interface, we chose Automation Anywhere. It also has good community support. Previously, we used to raise a ticket. Now, it's amazing - when you ask a question, people respond to it live.

I'd rate the solution ten out of ten.

We have many use cases for Automation Anywhere including HR and finance processes, and for the code in our production.

Before implementing Automation Anywhere we had complex data that was huge. For example, with the insurance, banking, and health sector domains. We were able to solve this problem with Automation Anywhere.

As a partner and system integrator, we have access to a vast database of applications. However, there is no direct connection between the upstream and downstream systems, resulting in scattered data across these applications. Automation Anywhere is effectively connecting all the applications, providing a seamless end-to-end workflow that has helped us.

Moving forward we see opportunities to operationalize AI within our organization. We support 15-plus industries and almost 182 clients across the globe. We have different use cases. One of which is for a client for criminal verification automation. This process is complex because we need to get the information from various systems to authenticate the staff. Another is in the healthcare sector where HIPAA compliance is present. So we ensure that we are not touching the customer data. We are using Automation Co-Pilot to solve some of the problems.

We are talking about a powerful tool in Automation Anywhere. They have been in the industry for 20 years and have learning systems such as IQ Bot, Document Automation, and CoE Manager. We are using this powerful tool and getting the best out of the generative AI. We have used the generative AI to solve complex problems for our clients. In one instance, a project that would have typically taken over a year to complete was successfully delivered within just three days using Automation Anywhere and generative AI. We can also extract data faster including clinical data and audio-enabled data for our clients. Our clients want everything as a package and immediately. Before Automation Anywhere and generative AI this was not possible. Now we can provide a solution to our clients within four to eight hours.

Automation Anywhere uses a GUI which is drag and drop. This means even a nontechnical person can use it. There is no need for a developer. With a subject matter expert, in a logistics or health care process, Automation Anywhere can perform miracles. Automation Anywhere is user-friendly and that has enabled us as a partner to help more customers with their digital transformation. A nontechnical person can be trained to use Automation Anywhere in just five days as long as they have an aptitude to learn.

We have used Co-Pilot to enable the digital gate for one of our banking clients with over 30,000 users.

We have used CoE Manager for one of our large clients which easily provides them with a ROI and allows them to see how the BOT is performing. The CEOs, CFOs, and CROs are all able to see how it is impacting their business much easier. CFOs and CROs are now recommending automation to their organizations for the ROI and the scalability it can offer.

Integrating Co-Pilot is a no-brainer. If we are talking about the day-to-day operations, the digital workforce, having a competitive advantage, and scalability, then we have to implement Co-Pilot. It is mandatory and not optional.

Automation Co-Pilot has saved our clients a lot of time. For example, one of our use cases involved a client with 20,000 users where they used to spend 20 to 30 minutes addressing each user's query. With Automation Co-Pilot that time is now fractions of a second. Having to put customers on hold to check information in multiple systems or not responding to emails can result in unnecessary escalation. With the implementation of Automation Co-Pilot the people that used to work on those things are now happy and no longer stressed out because they can now focus on more meaningful work. Automation Co-Pilot improves the employee and customer experience as well as the overall company benefits from it.

Automation Anywhere product catalog has APIs. The API can integrate with any system in the world. It can be SAP, Oracle, Workday, or any complex core banking application. In the cases where Automation Anywhere is deployed on-premises because the organization is regulated, we can go with Automation Co-Pilot which helps connect internal systems without compromising other aspects of data or privacy. The usage of Automation Anywhere is based on each client's needs and the nature of their business.

I have been an Automation Anywhere partner since 2018 and they are always surprising me. Automation Anywhere is customer-centric and on top of the market demand. Automation Anywhere's document automation solution has a 90 percent accuracy rate with handwritten documents. This is a challenge that no other solution has been able to effectively address.

Co-Pilot is a valuable feature. We have a large client with over 30,000 users. A project that size would normally take two to three years but with Co-Pilot we can solve it in two weeks. Not only is it unbelievable to us as a system integrator but also to our clients.

Automation Anywhere is a powerful tool. The generative AI, hyper scaler with Google and Amazon gives us the power to solve complex problems.

We have learned a lot about how to leverage more of Automation Anywhere on the NLM side.

Automation Anywhere needs to have more testing tools to improve the testing portion of the solution. That would help us do a lot of testing and move on.

The Process Discovery, CoE Manager, and Data Analytics are only available on the enterprise edition. They should be made available for general use and the community edition as well.

I have been using Automation Anywhere for almost ten years.

We have not required the use of technical support for Automation Anywhere yet. When we use new products such as Automation Co-Pilot, CoE Manager, and Process Discovery we use the support. They have a good concept of Orange and Gold support for the enterprise clients. We can get support in two hours with good response times. We can also find a lot of support from the Automation Anywhere Community.

I would rate Automation Anywhere nine out of ten. As a heavy consumer of Automation Anywhere, I highly recommend the solution to many of our clients. The product catalog is simple and the technology upgrades are frequent.

Automation Anywhere is customer-centric and partner-friendly. As a system integrator, we have a hundred-plus resources across the globe to support almost 182 clients. We prefer Automation Anywhere because of what we get from their partner team, pre-sales team, and customer support manager team. When we are stuck on something and give them a call, they immediately respond to us. This is why we promote Automation Anywhere the most. Automation Anywhere is coming out with new products every six months that are needed in the market. This also challenges us when we meet our clients to tell them we have something new and ask them to test it. Compared to the old version, the performance has phenomenally improved. Automation Anywhere is also helping with year-over-year return on investment. Product wise it is not overwhelming and it has tools such as Automation Co-Pilot, CoE Manager, and Document Automation. Those are the only tools we need and it is easy to understand, utilize, and integrate with any LLMs. With a click of a button, we can integrate with any tool that is available like ChatGPT, Google, or Azure.

Regarding maintenance, for instance, we automated the statutory complaints process for one of the largest organizations in India, which had 65,000 employees in 2020. They have not required any maintenance since then, except for when the government changed their portal and that process only took us three hours to complete. This is because the process we developed is still functioning effectively. The product is stable, so unless enhancements to the existing portal are necessary, there is no need for maintenance.

When upgrading from V11 to A360 we faced some hiccups initially, and after that, we never encountered any problems. We migrated almost 5,000 bots from V11 to A360. We initially estimated six months to complete the migration but we did it in two months. 99 percent of our clients are using A360 which helps us move faster. We initially had pushback from the clients not to migrate because they were happy with what they were doing. After we demonstrated the benefits of cloud-native architecture, including a 15-fold increase in performance, and conducted a successful proof-of-concept, they were happy to migrate to the cloud.

Migrating from other OEMs to Automation Anywhere is seamless. Two of our clients wanted to migrate from their OEMs to Automation Anywhere and we were able to migrate 1,500 bots in two weeks.

Our journey started with a migration initiative with something that already existed in an RPA solution. Then we started expanding and we started going into finance and HR activities. We use it in different entities and have been working with Automation Anywhere to build automation. We're seeing a lot of very good use cases that help deliver very good ROI.

Our company is quite large. We have several hundred applications and systems, including legacy systems. As part of a recent merger, part of our work is consolidating these systems. There are a lot of challenges. Someone has to manually perform activities, for example, to be an integrator between two systems. We use Automation Anywhere to bridge the gap. Wherever we can find and remove the human from repetitive tasks, we use Automation Anywhere.

This is a cloud solution. The framework we had before was on-premises. We wanted to move to the cloud, and that was a huge change. We're also able to redesign and refine processes that may have already been in place.

During our migration initiative, we were able to talk to different customer groups and revisit aspects to make things better and do things that may be needed. We were able to effectively optimize the processes and redo what was already in the existing platforms.

There is a lot of interest in operationalizing AI. There's a lot of buzz around generative AI. We've been reviewing different AI services. However, our focus has been more on orchestrating an entire end-to-end process, not just the AI. When we're talking with all the groups, we try to identify which steps can be automated, and add AI into the mix, if it is needed and it makes sense. We've had a lot of opportunities to work within legal, corporate, finance, HR, et cetera, and we're working to bring more use cases into production. Right now, it's all in proof of concept.

The leadership is very invested in generative AI and doing a lot of research. There's a separate team that does InfoSec reviews. We're undergoing a stringent vetting process. We're in the analysis phase to ensure the data stays within the model and doesn't go outside the LLM for training.

We are finding opportunities to implement some hyper-automation options.

Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success.

It's easy for business users who don't have technical skills. We try to build and help users build automation quicker. We've built a framework around it that's made it easier for everyone to build automation.

The learner curve for users is okay. The curves are different for end users. We have a large footprint of citizen developers, and some take quicker or longer depending on prior project commitments. It depends on the amount of time they can commit to it.

We've used the automation copilot, which is quite useful.

We have a lot of internal tools. A lot of finance and HR, for example, have specific apps and platforms. We've established a lot of connectivity with other apps. If there's an interest that business users want to start building, we already have the framework in place, which makes integrations fast.

We get a seamless experience when using the packages. There are constant upgrades. It doesn't stay stagnant; there are new features added to it. The consistent growth of the packages has remained seamless.

We save time and money. I can't share exact details, however, we do have good ROI. We track time, compliance, cost avoidance, et cetera. Everything is heavily tracked, and we make it available for leadership to review.

The improvements have already been rolled into recent releases, like better governance models. From a GenAI perspective, there are good releases like automation pilot and copilot that are already part of the product's release agenda.

They need to improve the stability of the core functionality. If they keep the core constant and constant, they will continue to thrive. It needs to stay consistent.

I have a long history with the solution. With my current company, we've been using it since 2021. However, in my previous roles, I've worked with it as well.

The platform is highly scalable. That's one of the key advantages. We build at first on a smaller scale, and build it up over time. The scaling part has been really seamless. It's been good so far.

We've had a great experience with technical support. They've partnered with us in terms of the challenges we face. We have a collaborative relationship and have had a positive experience.

As the product evolves, it would be great to have more support and have them up to date on the latest and greatest. The teams should be constantly upgraded to ensure that if something goes wrong, they can handle anything - that will be important for the future.

We do use other tools that are low code/no code, such as ServiceNow, SalesForce, et cetera.

Everyone tries to improve their opportunities. This competitiveness has helped the product evolve.

We've deployed processes within a week, while others might take four or six weeks, depending on the complexity. We have release schedules and release controls in place. Everything is streamlined, and we test before the automation goes live.

We're on the cloud, so we do not have to upgrade anything.

Maintenance is more on the partner-owner and device side. There might also be work upgrading and testing packages and new features. We do spend some time when a new feature comes out to test it before we actually upgrade our packages.

The licensing isn't an area I can discuss in great detail.

I'd rate the product eight out of ten. They have been an industry-leading automation solution provider. They have a lot of experience, and the core functionality is great. Keeping up with the market and putting in new competence into the product - the constant innovation - makes the product impressive.

Specifically, we use the solution for SAP where we have particular SAP processes that need automation.

There were multiple processes where implementing a bot allowed us to automate processes and allow it to perform backend tasks. For example, employee onboarding, or creating orders.

We were able to remove manual tasks and we were able to justify the processes based on the ROI witnessed.

We see opportunities to operationalize AI. We aren't using it yet, however, in the future, we are looking to it. At this time, we do not have any AI use cases.

Being able to connect with third-party tools is the best feature.

All RPA tools we are using have the same benefits in terms of automation.

The learning curve is okay. Practicing it is the key thing. Doing it over and over will help a person get comfortable. We do not have a lab environment where we can use and test it. That makes it difficult for users. They need to spend time with it, to play with it, to have a hands-on approach.

It took me two weeks to learn how to do an implementation. Going from the lowest knowledge levels to more of an expert takes a month or two.

We have a few different tools and operating systems. It works well with other application data or operational items.

With respect to your use case, it's easy to use and easy to implement. However, sometimes if there are complex requirements, the automation of processes gets a bit more difficult.

If you come across any process, it can be automated via Automation Anywhere. However, companies need to better justify the ROI before usage - otherwise, they might spend money on things unnecessarily.

I've been using the solution for around three years.

It's a stable product.

The solution can provide automation at scale.

Technical support is quite responsive. Very rarely do I need to connect with the team, however, if I need to reach out, they are very good in terms of their response.

I also use UiPath and SAP IRP. We work with different tools according to requirements.

The initial setup is easy. It has its own orchestration and you just need to deploy it.

Any maintenance would fall under your organization's contract.

We have saved us both money and time.

The pricing is reasonable. The money you spend will be worth it.

We are an Automation Anywhere customer.

I would recommend the solution to others, so long as they have some previous knowledge before setting out.

I'd rate the solution nine out of ten.

We use Automation Anywhere to automate all back-office manual tasks, including service case management, support cases, and financial reconciliations between multiple spreadsheets and source systems.

We faced challenges because we were running the on-premises version. It was too demanding on our physical system architecture. Last year, we moved to the cloud, which has improved our landscape. It's better now, but it was tough before. Anyone new to Automation Anywhere will find it much better now.

Before we implemented Automation Anywhere, all of our tasks were manual. Automating them has saved us a lot of time and eliminated a lot of risk. As of now, our run rate is around 15,000 manual hours saved per year.

Automation Anywhere helps eliminate our daily manual tasks, allowing our staff to focus on more valuable tasks.

We have integrated AA with Salesforce, our homegrown platform, ServiceNow, and PeopleSoft.

Our workflows, APIs, business applications, and document automation integration with AA are well-integrated and efficient.

AA has helped us save time.

The code automation platform is the most valuable feature.

Recently, Automation Anywhere acquired FortressIQ, a company that specializes in discovery automation. Discovery automation is the process of sitting down with businesses and documenting their processes and all related information. It is a very human-intensive process. Automation Anywhere acquired FortressIQ to do this work, but the two platforms are not yet seamlessly integrated. This is a pain point that we are currently working on.

I hope that Automation Anywhere can improve its capabilities in the areas of sophisticated unstructured data parsing, contextual routing, and long-running process orchestration. These are areas where AI can be especially helpful. For example, AA could use AI to suggest the next best action in a process and to configure everything in one shot. It should also be smart enough to adjust and move on.

The process discovery side needs improvement. Before we can automate, we must document the current process map and create a process design document. This is a time-consuming and painful process. We have to go to the line-of-business people who perform the operations, sometimes multiple times, to get an understanding of the problem. Automation Anywhere is improving in this area, but it's still not perfect. So, we're relying more on other reliable platforms. The platforms they acquired are not yet fully integrated into the core RPA design platform. This is a big gap. If they can close the gap between discovery and bot development, it would eliminate many manual hours of discovery, allowing the automation team, or COA team, to scale faster.

I have been using Automation Anywhere for four and a half years.

At first, we had issues with the stability, but it has significantly improved in the last six months after we migrated to the 360 version.

Automation Anywhere can scale vertically, but not horizontally. This means that it can add more resources to a single machine to handle increased load, but it cannot distribute the workload across multiple machines. This is a limitation for long-running, complex processes that require state maintenance. However, Automation Anywhere has a roadmap item to release a horizontal scaling solution in 2024.

In other words, Automation Anywhere can scale up, but not out. We can add as many small bots as we want to a single machine, but we cannot distribute the workload across multiple machines.

Technical support is decent. We were previously on a lower level of service support but realized we needed better support and were upgraded to top-level service. It's been better since then. We have a dedicated account customer success manager and architect assigned to us, so we can ping them anytime and they'll chase it for us internally.

The initial deployment was straightforward. It took six months to deploy ten bots.

The pricing of AA is similar to UiPath.

We evaluated UiPath but AA is more resource friendly and has a shorter learning curve.

I would rate Automation Anywhere eight out of ten.

Our organization's approach and strategy will be to accelerate cross-cutting capability across all technology solutions, including automation. We expect vendors like Automation Anywhere to step up their game to compete. If they cannot compete in the United States, they will not be able to compete in the rest of the world and will be left behind.

We tried to get business users to build bots. We have reports of business users who have built bots. It is easy to get them started, but it is very difficult to get them to build production-quality bots. I am sure that this is a common challenge with any tool or platform. All the solution developers and concepts are theoretical. In reality, they do not work. Business users can build whatever they want, but their bots will not withstand the production infrastructure. Therefore, we need to step in and do the job properly. I do not believe in the concept of business users building bots. It just creates more problems down the line.

The learning curve is around two weeks.

We are starting a POC for Co-Pilot which was formally ARI. At the time when it was ARI, it was not a good feature.

Runners in our local landscape require maintenance.