Automation Anywhere Reviews

I have been using Automation Anywhere to automate repetitive tasks across various domains and organizations. We have developed a lot of automations in domains like finance, HR, and supply chains on a daily basis. Basically, we create bots using Automation Anywhere that replicate human actions. 

Currently, we are working on a business case involving agents who respond to phone calls, providing order dispatch status. The average call time is five to six minutes. By using AI, we are creating a chatbot so that a customer service agent can input details and quickly provide all the customer-related information. This reduces call times from five minutes to one or two minutes, which is something we are currently working on. We are also exploring AI use cases for things that are not structured or rule-based.

Previously, we were using legacy automation methods. We were using different platforms to automate the system by writing scripts. You get the best value from automation when you automate a process end to end. In a business process, multiple applications might be involved in completing the processes. Automation Anywhere provides better integration with applications. We can integrate multiple applications at the frontend or backend and complete our processes. Previously, we could automate only a few parts because of limitations in supporting various technologies, whereas Automation Anywhere helps to integrate all the applications and automate a process end to end.

I have integrated it with SAP, Salesforce, ServiceNow, Jira, Tableau, and a lot of Microsoft platforms. We have also had integrations with database and mainframe applications. The integration is seamless. They have packages for particular applications. If you want to work with Salesforce, they already have a package for Salesforce. You just have to connect Salesforce with a certain set of details and provide the API details. It is seamless and within a second, you get connected, and data starts to be exchanged with the application.

It saves headcounts, improves customer experiences, and provides time and cost savings. In some projects, millions of dollars are saved annually from a single bot. The response time for certain customer scenarios has also been made efficient.

The way it integrates with subsystems is impressive. When automating business processes, there might be multiple systems in use. Automation Anywhere provides various ways to connect, such as by directly using backend APIs or using the frontend. This is incredibly useful.

They are constantly enhancing its capabilities. They have already included support for GenAI, enabling easy LLM training. You can train LLMs without putting in a lot of effort. You can train a model very easily. If you do the same thing manually from scratch, it will take a lot of time and you also cannot be sure of the accuracy. They are enhancing their capabilities in the field of AI to provide efficiency and accuracy.

It is a low-code/no-code platform. If you have a little bit of technical knowledge, you can easily design a bot. It is a basic part of software development. It is easier if you are aware of a few things such as writing up a logic, loop conditions, etc. Someone having the basic knowledge can easily adapt to this tool. It is quite simple and straightforward with drag-and-drop actions. It also provides information about a particular package or action you are going to use in your automation. If you are not familiar with the technology, you can explore Automation Anywhere University where they provide training. For anyone eager to start with it, it is quite easy.

Automation tools have a lot of dependency on the environment, particularly on machines. Reducing this dependency could increase success. The product has entered the GenAI space, so it is easy to implement. It will keep improving over time. However, making the product more lightweight by reducing its dependency on infrastructure could greatly help in the long run.

I have been using Automation Anywhere for the last six years.

The stability rating is a nine out of ten. They are improving stability daily. If you had asked me four or five years ago, I would have rated it four or five, but they have significantly improved. Currently, nine is accurate, but there is always room for improvement.

It is being used globally. We are a global team with a presence in six to seven different countries. We have about 10,000 employees. We have business processes in different countries, and everyone is using it. We have implemented 140 to 150 automations, and a lot of people are involved in developing them.

I would rate it an eight out of ten for scalability.

I would rate them a nine out of ten. They have been kind and supportive. Whenever we need help, we can reach out to them, and they help us out.

I have worked with major partners like UiPath and Blue Prism prior to Automation Anywhere. I also worked with UiPath last year.

When comparing them from a developer's perspective, I prefer Automation Anywhere. Its canvas is user-friendly with options to switch between code view and list view, which other tools lack. As a developer comfortable with list view coding, transitioning to UiPath without that feature would require adaptation, whereas transitioning from UiPath to Automation Anywhere is smooth due to the flow view or list view option. Automation Anywhere already provides flow view development, simplifying adaptation. I appreciate this flexibility. I am also working on Power Automate, which is generally flow-based. Automation Anywhere offers convenient switching.

In UiPath, if you want to work with Salesforce, the package will not be there by default. You have to import that package, which is not the case with Automation Anywhere. Importing packages, like for Salesforce, is straightforward, and often available to team members. The best feature is having access to packages imported by team members.

It is straightforward. 

When it comes to bot deployment, a bot takes two minutes from one environment to another. Moving code between environments also takes only two minutes. However, there are sanity checks. These checks apply to all tools used in automation. Deploying code takes two minutes. We have automated this process, allowing code transfer from test to production with a single approval click. It is seamless.

Bot maintenance is not a tedious task. Once an update is done, we push that into a test or development to check whether it is impacting our automation. In more than 90% of scenarios, it does not impact. In a few cases, there is some impact with the update.

Before automating a use case, we assess its impact in terms of efficiency, error reduction, and cost savings.

Automation Anywhere has helped achieve around 50% savings in some scenarios. The error rate has been reduced by 80% to 90% in processes. Errors have been successfully eliminated from the process.

In terms of cost, we participated in projects achieving two to three million dollars in annual savings.

If you are a non-technical person, you need to become familiar with basic programming concepts such as conditions, looping, etc. Automation Anywhere is easy to adapt to. The UI is simple. If someone is coming from a different technology and wants to develop something in Automation Anywhere, one or two weeks are enough to get started with it.

We are getting trained on AI, document automation, and the Copilot system at the organization level. We are also exploring a few other business cases for implementing GenAI. We have some unstructured handwritten documents, and we are trying to assess how efficient it would be to automate it and how easily we can create a model for a certain set of documents for extracting the details.

I would surely recommend Automation Anywhere to other users. For business professionals, it automates repetitive tasks and enhances efficiency and cost savings. For technical individuals, it is easy to use and adapt. 

I would rate Automation Anywhere a nine out of ten.

Currently, our use case for the solution is majorly in IDP solutions, including invoice processing, document processing, and exploring agentic solutions. Major issues that we are having involve multiple types of POs that come along and how to process them, how to get good structured data from them, and how to remove the hallucinations of AI models. These are the major scenarios, and after that, the processing in SAP and other platforms with that particular data follows, which is our automation and IDP use case.

Document Automation plays a very good role for document processing. We were initially using IQ Bot, which is a product of Automation Anywhere, and we have now migrated to Document Automation. It helps us because in the previous version, we used to handle a lot of groups, and handling them was very difficult when we had multiple customers and a lot of templates of POs or invoices. Now we have one model, which is a smart solution that learns from what we give it and from the prompts and rules we use. It gives us better results, and we do not have to maintain it. It is also easy in live production because previously we needed to train in dev, then go to UAT and production. Now we can give validation two or three times in production and do not need to code it again and again.

We are using Document Automation on a large scale. For processing a manual PO and extracting its tags, it would take at least six to seven minutes for a person to do it manually. With Automation Anywhere, it is a very quick task because it extracts all the data in one go. If we send 30 POs, it will extract all of them at once, and then it will proceed with processing. One person can do all the work, and it saves a lot of time because it completes the task in a minute or two.

Automation Anywhere comprises multiple features, and it is a place where we can integrate a lot of solutions, which involve things such as automation solutions in Workday or Salesforce, agentic automation, human in the loop, and other varieties of things. The feature I love most is how we can interact with a human in the loop within IDP solutions so that a particular person can validate that the extraction is correct and that the data going inside SAP or any finance system is accurate, and how they can interact with it. The processing reduces their work as well, which is also a good point.

The API has helped me achieve my automation goals by allowing us to do a lot of POCs so that we can interact with the whole process structure with human-in-the-loops because in our industry, data which is going in and coming out should be validated. This is helping by reducing a 10-person workload to one person who can validate and approve the work.

It is creating a lot of value for the organization because there is a very big team which used to do a lot of processes. For example, the research and development team used to find chips that have a lot of applications and determine what those applications are so they can perform R&D or innovation on chipset manufacturing. We created LLM-created solutions, and it is extracting what they used to do R&D with a lot of data manually, which took a lot of time. This automation has reduced the time, and whatever they used to do in a week is now completed within a day. This is an example of how we are reducing complex times with the automation.

Sometimes the challenges for me and my organization involve the infrastructure because agentic AI also needs infrastructure to be set up, and the current infrastructure setup is not very great to adopt it. Sometimes we have issues which take time to understand, and that is one of the challenges. Another challenge is that we are using it for IDP solutions, and AI and LLMs are still hallucinating and giving different results for the same thing. These are the things that we are still struggling with. Automation Anywhere support provides assistance whenever there is an issue. When we raise it with the team, they are very responsive and trying to resolve it by coming on a call, and they resolve it as soon as possible.

We are currently using the Autopilot capability of AI Automator AI, but not in a very vast way or in a major way because our automation is more of a scheduled version, so we are not using it much right now.

In the initial session, there were a lot of things that are in preview, such as A-Sera and A-Code, and there are some process discovery tools as well which are coming, which are actually very great. They are in preview, so I am waiting for them to come. From my previous experience, sometimes when a new product came, it took time to get matured. I would be expecting that when it launches, it comes as matured.

I have been using Automation Anywhere for the last seven years. Parallelly, I have done solutions with Power Automate, but as compared to this, I feel that I am more comfortable with Automation Anywhere.

We used to have a hypercare period when doing a deployment, and I see a gradual decline in the errors. Right now, if I talk about four years back, we used to monitor deployments for a month. Now we monitor for a week because we have already tested a lot. Generally, issues are not coming from Automation Anywhere; more of the issues are coming from the infrastructure, which is fine and usually happens.

Automation Anywhere provides support whenever there is an issue. When we raise it with the team, they are very responsive and try to resolve it by coming on a call, and they resolve it as soon as possible.

For small automations, I would prefer Power Automate and similar solutions. For a complex one, I would go with Automation Anywhere.

It depends on the process. We are in the R&D space, and as I mentioned, the one-week work is done within a day, so it saved five days. For order processing, I would say that it is not very much time-saving because it is also taking time to extract and process, but it is giving us freedom in that the people who are doing the repetitive task are not doing that repetitive task now, and they are doing something else, maybe validation or something more productive.

For small automations, I would prefer Power Automate and similar solutions. For a complex one, I would go with Automation Anywhere.

The importance of AI governance in my organization is always crucial because of auditing, and we do not want any data to come out from there. Automation Anywhere gave us that particular security, and they are handling the data within their enterprise and not going outside. That is the first point which is why the organization is using Automation Anywhere.

We are using AI agentics and AI Agent Studio for some of the processes. I would say that it is majorly in a POC stage, but as I mentioned, we are using it for some of our systems and the API with the agent connection as well.

The visibility is more because in any complex solutions, we used to take the help of it. Visibility for us is significant and it does create an impact because whenever we are stuck for some time and then use it, it is clearly helping us a lot for the creation of solutions.

The API has helped me achieve my automation goals by allowing us to do a lot of POCs so that we can interact with the whole process structure with human-in-the-loops because in our industry, data which is going in and coming out should be validated. This is helping by reducing a 10-person workload to one person who can validate and approve the work.

I do utilize Automation Anywhere Center of Excellence, CoE somewhat for solutions creation and if there is any complex way which we are not able to identify how we can resolve these things. We use that for support.

I give this review a rating of 8 out of 10.

I am in the infrastructure service offering team, and I am focused on product ownership. My role involves overseeing how technology and new versions of products are defined across the bank. For example, I am working on adapting our systems to the cloud for automation and integrating Generative AI. This involves utilizing Agentic AI for process automation.

My responsibilities include integrating product features and assessing how these functionalities can benefit the bank through various use cases. I conduct proof of concepts and demonstrations from a governance and compliance perspective, acting as the architectural strategist. Additionally, I oversee product models related to anti-money laundering (AML) and engage with various business teams including wealth management, retail banking, marketing, and services banking to showcase how these features can enhance automation.

As a product owner, I also train teams and raise awareness about new technologies that can expand their automation capabilities. It’s essential for me to understand all functionalities and features of the product, especially since we're in the banking and finance sector. We cannot blindly integrate any AML model; compliance and governance are crucial in this field.

I must ensure that any integration is safe and sound, focusing on control perspectives, model training, and handling confidential data with appropriate encryption. I have a team to support these processes and ensure everything adheres to banking standards. My goal is to communicate with the business teams about new technologies, educate them on how these innovations can improve automation, and help them leverage these benefits. That is my primary focus right now.

Automation Anywhere helped our organization for repeated manual work and automate structured/unstructured document use cases

The features of Automation Anywhere are quite impressive. One aspect I particularly appreciate is the integration of AI. AI has reached a mature level in its capability for agentic processes, which greatly enhances product usability and enables adaptation to complex use cases. Traditional RPA is no longer sufficient; it has become outdated in this regard. In my opinion, RPA has been essentially irrelevant for the last two to three years. What we are seeing now is hyperautomation, particularly intelligent automations that have evolved into what I refer to as Agentic Process Automation (APA). 

With Agentic Process Automation, we can manage end-to-end processes, particularly where human intervention is necessary. We can streamline these processes by integrating API tasks and obtaining responses from various sources, such as OpenAI. This integration leads to a higher level of accuracy in our systems. At our bank, we are moving away from the notion of traditional RPA and focusing on APA, emphasizing that everything will increasingly rely on APIs. Additionally, we are exploring how to facilitate seamless integration across different products. Our goal is to create a plug-in capability that allows for easy integration not only with RPA products but also with other systems to achieve comprehensive end-to-end automation. This is what we are striving for in our current initiatives.

Their vision is promising, but the product requires significant improvements in maturity and usability. I'm concerned that the product is not user-friendly. They continue to release new features, but end users struggle to adapt to them. This indicates a lagging development in product usability.

From a product maturity perspective, there is an area of improvement. We are currently on-prem, and as we transition to the cloud, there are numerous restrictions from our banking organization that we must consider. When planning to scale the product, I need to understand how it can handle increased bots. For instance, if I start with 1,000 bots and later expand to 1,200 bots, will the platform still be able to support this growth?

Additionally, as we integrate new features such as document automation, Intelligent Document Processing (IDP), and CoPilot capabilities, I need assurance that the current platform can sustain these enhancements. It is essential for Automation Anywhere to improve in these areas so we can effectively increase the scope of automation within the platform.

I have been using this solution for more than seven to eight years.

The stability of the product is quite good, and I am not facing any difficulties presently, though I have concerns as we add new features and hope to work closely with the vendor to address any potential stability issues.

The product is quite scalable from a high availability perspective and even offers seamless scalability in the cloud; however, there is a bit of lag in the on-prem setup which needs improvement, although currently everything is operating smoothly.

From a support perspective, we are quite aligned with the Automation Anywhere team and very happy with their approach. While there may be delays in enhancements, they acknowledge our suggestions and maintain a good relationship over the years.

Positive

I used Blue Prism over six or seven years back while working with a major bank in South Africa. At that time, we successfully implemented around 700 bots in production, marking the beginning of our journey into robotic process automation (RPA). After my experience with Blue Prism, I transitioned to Automation Anywhere, where I continued my journey in the U.S. at one of the largest banks—specifically, the third largest bank. We have successfully implemented around 1,000 bots, which are still operational today.

In addition to RPA, I have ventured into the realm of intelligent automation, focusing on providing end-to-end process automation solutions. My role encompasses solution architecture, advisory services, strategy development, and team leadership. I oversee various automation products, including IP products, workflow products, data messaging products, and Excel remediation products, ensuring comprehensive management of the entire process automation landscape.

Regarding pricing, I do not have extensive detail, but it varies based on the agreement with clients. Since we have a good relationship with Automation Anywhere, I do not see much difficulty in licensing costs or flexibility in licensing models compared to other products.

I can recommend Automation Anywhere. If you are considering Automation Anywhere, my advice is to avoid the on-prem setup and instead go for the cloud-based product to leverage more features, better scalability, and high availability, especially noting the lack of device pool limitations in the cloud environment which facilitates parallel bot operation without the restrictions found in the on-prem setup. 

I would rate Automation Anywhere an eight out of ten.

Our primary use cases with Automation Anywhere revolve around process discovery, where we've used that with many clients to identify areas of opportunity for automation, map those out, and build the core automation to drive the new modernized processes. We originally had done a fair amount of work with robotic process automation types of opportunities in and around revenue cycle with health system clients, ensuring that they get paid appropriately for the services they render.

One of the really interesting use cases that moving into agentic automation brings to the table are more complex use cases, where we can work with things such as medical necessity denials, where payers will deny or downgrade the payment that they provide to the health systems based on a set of medical necessity criteria. 

The introduction of the agentic capabilities allows us to ingest that denial letter, along with the criteria for medical necessity that's required to be met to be paid, and then work with the medical record itself, so the agent can scan the medical record to find out why it's denied matching to the criteria that's required to support it and determine if the criteria are met. If so, it can then draft a letter. 

Traditionally, that's been a highly manual process that requires a clinical resource, which tends to be very expensive, and they can do only about 10 a day or 50 a week. With this kind of automation, the draft letter is provided to them for review and confirmation, allowing them to increase productivity by multiples across the impact and giving them the opportunity to work more effectively in terms of the span of denials, because most health systems never even get to all of them, determining whether they'll take the time to do it based on labor intensity.

With all the things happening with AI in the market right now, one of the big challenges that clients have is ensuring the quality. There are fears around AI that people have about whether the AI will hallucinate and those kinds of things. Having a partner like Automation Anywhere, a company that is known in the industry, is a leader in the industry, brings a lot of credibility to how people look to solve those problems and drive that comfort level. 

Customers also are looking for the kinds of solutions that help enable their workforces to be more effective. Agentic capabilities bring a lot to that. If you think about not just the traditional labor savings, but how you can elevate the performance of the employees that will still be there, the agentic AI brings a lot to the table for those kinds of solutions as well.

Some of the really impactful features of working with Automation Anywhere are the ability to design and partner with their experts to come up with our solutions. Often, we're trying to push the envelope on how either a process has worked traditionally, and trying to see how the automation solutions can change the nature of that process. Automation Anywhere has been a fantastic partner to work through different ways and try different methods and approaches to solving those problems.

Document automation often comes up with our clients, where the processes we're working in still transfer faxes and other traditional documents that must be uploaded, with data extracted and input into a process, whether that's faxes for scheduling appointments or things such as benefit determination, sometimes following up on authorizations for services. Document automation is a really important feature and component to solving these problems.

In terms of areas for improvement and opportunity, Automation Anywhere has been a great partner for us. Many of our clients would want to see scalability in pricing, and while I could say cheaper, that's part of it. Finding creative and scalable pricing structures is important, especially with the move toward agentive automation, which presents challenges in getting clients on board. Clients are interested but reluctant, needing proofs of concept with minimal upfront cost or risk to demonstrate value. 

Additionally, there's potential for Automation Anywhere to integrate conversational types of tools and AI into their tool set, which would be really valuable.

We have been working with Automation Anywhere for several years and we are a partner with them, using them to support many of our solutions for clients, helping to modernize their workforce and bring the digital workforce concept to life with our clients.

In terms of reliability and stability, I have personally found Automation Anywhere to be a highly reliable and stable product, well-known in the market for that.

Many of our clients are just moving into automation, and one of the benefits with Automation Anywhere is the ability to scale and add processes as we improve concepts, helping them get comfortable with the technology while driving more value through expanded automations.

We've received great support from Automation Anywhere. We've developed some new innovative solutions with them requiring significant work from their engineering teams and their partner teams. They've been a great partner to gently vet our ideas, and they're willing to give them a try, which has been excellent.

Very few of our clients at this stage have agentic process automation in place, so in those cases, Automation Anywhere is our preferred partner. 

As we work with clients in identifying opportunities and positioning a solution, Automation Anywhere becomes an easy decision for them. In the traditional RPA space, while some clients may have other vendors, many do not have anything in place. We often work through how to move to the Automation Anywhere platform, which is made easier by their good job of facilitating the switch from other platforms.

The return on investment for our clients working with Automation Anywhere solutions typically shows at least three or four times in the first year and sometimes double that in outer years, arising from a combination of labor savings, improved quality, and reduction in process failures.

Some of the benefits that we've seen with our clients are substantial labor savings of 30% to 70%, depending on the processes that we often see in the ability to reduce labor costs. 

We see improved quality and the elimination of process failures, which can lead to multi-million dollar savings in things such as denials with our clients, addressing how much they're writing off that they can't collect from third parties. 

The elimination of process failures is a significant opportunity for savings, with typical savings being millions, if not tens of millions, for many of our clients due to areas such as insurance verifications, failure to get authorizations, and timely follow-ups on claims to ensure that we submit the required information to the payers.

With all the things happening with AI in the market right now, one of the big challenges that clients have is ensuring the quality, with fears about whether the AI will hallucinate, and those kinds of things. Having a partner like Automation Anywhere, which is known in the industry as a leader, brings a lot of credibility to how people look to solve those problems and drive comfort. They also seek solutions that help enable their workforces to be more effective, and agentive capabilities bring a lot to that. If you think about not just the traditional labor savings, but how to elevate the performance of employees that will still be there, agentive AI brings a lot to the table for those kinds of solutions as well.

On a scale of one to ten, I would give Automation Anywhere an eight depending on the day. They've been a great partner for us in developing new solutions, and when we've deployed them, we see high reliability. The brand is well-respected in the market, making clients receptive to the name and bringing credibility to our solutions. Overall, I give them high marks and enjoy working with them.

My main use case for Automation Anywhere in my current company is complex to describe, as I started in June. 

My primary focus has been restructuring the team, creating processes, best practices, and standards. I stopped the whole production, not implementing new automations or enhancements, ensuring we can scale up. 

One of the major business cases we have is invoice payments, where we handle a good number of invoices using IQ Bots. Eventually, we will migrate to Document Automation once we transition to the cloud, which is starting next month, May 19th. Invoice payments are a great use case since we receive different types of invoices from various vendors. 

We use Document Automation to organize information, restructure it, and then grab the information to save it into different systems of records. This is probably, from my perspective, one of the most important cases. Due to my seniority here, I haven't had the opportunity to know too much about the business cases beyond assessing the infrastructure. However, that is one of the critical automations from my perspective.

I've seen many benefits from using Automation Anywhere so far, including having around 50 automations running in production. I can't say right now exactly how much we're saving in dollars, however, there's a measurable benefit, as we work closely with the legal team that performs a lot of manual work, and we help them significantly. That's my main customer right now. Additionally, I have technology and finance as other critical customers, covering probably 80% of the company. As a financial institution focusing on financial advice, we are about to open a digital bank in the next few days.

From my perspective, the most valuable features in Automation Anywhere are its ability to connect to different systems of records. We are only using RPA at a very basic level, not utilizing Intelligent Automation or AI, as it's not part of my contract. Document Automation is still growing and is not 100% mature, however, 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. This capability has empowered us to help the organization interact and eventually automate their processes.

Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring. 

What Automation Anywhere is doing right now is in the right direction, and I would appreciate seeing a better task mining tool. Fortress IQ needs to grow more in terms of maturity; people spend weeks creating PDDs. Having a user-friendly tool to record sessions and generate PDDs in minutes would be fantastic, making the process more efficient.

I started doing RPA Automation Anywhere in 2017, beginning with zero automations. We started the program, and after seven years, we had around 120 automations. 

The stability and reliability of Automation Anywhere's bots depend significantly on how we define our development strategies. If we have good practices, reusable code, a solid framework, and effective development methodologies, the bots can be very stable. 

We have experienced bot failures, however, those failures are usually due to development issues or system glitches, not Automation Anywhere itself.

Automation Anywhere scales with the growing needs of my organization in the cloud, as it adjusts based on our needs. My concern is primarily on the Bot Runner side; I currently have VMs, however, I plan to migrate those to servers, which will help me scale up more effectively by increasing processing power and RAM rather than simply adding more VMs.

Automation Anywhere's support has been great since we signed up for gold support last year. 

Having a technology partner that understands our environment is crucial, as this enables quicker issue resolution without needing lengthy explanations about our setup. Now, we can more easily address issues since the support staff is familiar with our infrastructure, automations, and pain points.

Positive

Prior to adopting Automation Anywhere, my company used Excel macros, which are not enterprise solutions and are more personal automation tools. Some individuals used Power Automate, however, it's not an enterprise solution and doesn't integrate with other tools apart from Microsoft products.

I don't have specific numbers for the reduction of manual work or error reduction, however, the metrics we had were very poor before I arrived. I asked Automation Anywhere to include the COE manager in my contract so I can evaluate and present proper numbers to senior management. However, I see significant benefits in FTEs; I wouldn't say we're eliminating FTEs. Rather, we are helping employees focus on more creative activities.

I haven't evaluated similar tools. I know they exist, however, at my previous company, I was informed I was to use Automation Anywhere before I joined the RPA program. At my current company, they already use it, and while they did evaluate UiPath at some point, the cost was a significant factor in the decision.

My advice to someone considering Automation Anywhere is to ensure proper planning regarding the environment, security, compliance, and governance. It's vital to establish clear metrics to show management the potential savings from automations. After setting this foundation, having best practices, standards, and a solid framework in place will be crucial for success.

Something I would emphasize is the need for more technical discussions at events. Whenever new solutions or ideas arise, I want to understand their implementation, especially concerning data storage and compliance. For example, during a recent conference, I was surprised by the data migration plans discussed for Document Automation, which raised compliance concerns for me. More technical insights would help clarify such issues for all attendees.

I would rate Automation Anywhere nine out of ten. The solution is great, however, there are limitations in the COE Manager and Document Automation. If those tools were more mature and meeting scheduling was more immediate, it would significantly enhance the overall experience.

Automation Anywhere overall is a great tool for automation, as it provides a lot of flexibility to work with different other applications.

We have been using Automation Anywhere for the past nine years, and Agentic Process Automation is a very new solution to the market. We started implementing this feature two years ago and are currently getting significant benefits from it.

Automation Anywhere offers a bring your own model feature, which gives confidence to our customers as we can use any model with guardrails governance in place. This flexibility, combined with features called Copilot, Ari Copilot, and Mozart Orchestrator, helps us keep everything on track in a control room. These are features we have always valued in Automation Anywhere and will be very helpful for our development as well as our customers to achieve better ROI.

The data advantage provided by the Process Reasoning Engine is excellent because it understands customer data progressively. For example, a standard LLM has everything pre-trained, but hallucination remains a problem. Automation Anywhere's Process Reasoning Engine with Agentic Process Automation understands customer steps, approvals, and feedback. Based on this feedback, it learns independently, which is the strength of Agentic Process Automation with the Process Reasoning Engine.

Automation Anywhere is definitely user-friendly, allowing newcomers to start with it easily. When it comes to improvements, they should add more applications directly connected with Automation Anywhere to make it easier to connect and manage automation. Additionally, more API applications should be introduced to help developers reduce development effort and deliver higher value to customers.

We have been using Automation Anywhere for the past nine years, and Agentic Process Automation is a very new solution to the market. We started implementing this feature two years ago and are currently getting significant benefits from it.

Automation Anywhere scales well with the growing needs of our organization, as we have been using it for the past nine years. We have been upskilling with different technologies including AI skill, APA, and Document Automation. We are seeing many new capabilities in Automation Anywhere, such as open cloud architecture, which makes us enthusiastic to continue upskilling further.

My evaluation of customer service and technical support is very positive. There was a time when I would have rated it at around fifty-fifty percent, but now Automation Anywhere uses AI for customer support. Whenever we submit a ticket, we receive an answer within a few seconds. This demonstrates the effectiveness of Agentic Process Automation, as we can see their product functioning excellently. Whenever we experience bugs in our code or feature breaks, we receive prompt answers from the support team thanks to AI agents.

I rate customer service and technical support a nine out of ten because Automation Anywhere utilizes Agentic Process Automation in their support team, allowing us to receive any support solution very easily.

Before adopting Automation Anywhere, we were using Python, which required our developers to create scripts and handling was very difficult with bugs and error management. Now, it is much easier with the orchestration layer in Automation Anywhere, alongside the pre-built solutions and packages that were the main factors driving our switch from standard automation to our Automation Anywhere journey.

We are getting approximately two hundred percent return on investment from Automation Anywhere throughout our automation journey, including RPA and our current Agentic Process Automation implementation. This is definitely a very good ROI we are receiving from Automation Anywhere.

My advice to other organizations considering Automation Anywhere is to start with small projects first. Once they achieve a good ROI from these smaller projects, they can dive deeper into big end-to-end projects. They should definitely test and deploy AI easily from Automation Anywhere, as the low-hanging fruits are beneficial for newcomers before tackling bigger challenges.

The option to buy, build, or bring your own tools and models is absolutely a fantastic feature that other tools never provide, allowing us to bring our own model or application into the control room of Automation Anywhere or other tools. In enterprise companies, we need to handle legacy applications, API endpoints, and different types of models depending on model capabilities and training data. The LLM changes based on each process, and applications may vary. Automation Anywhere gives us the flexibility to use any tools and agents from external sources, which is a beautiful feature Automation Anywhere provides.

The centralized governance system is definitely required for large organizations because the management or IT team wants to see exactly which model is being used, how many tokens are being consumed, what guardrails are in place, and how Protected Health Information is being handled in the tool. The governance system is a fantastic feature in Automation Anywhere so that everyone remains aligned throughout the entire organization.

I give this review an overall rating of ten out of ten.

Our main use cases for Automation Anywhere are anything that's end-to-end automations. We initially used to do finance and HR only, however, eventually graduated to different verticals and departments. Our use cases have been predominantly high-value, high ROI, and anything that can be repeatable, algorithmic, and automated.

Automation Anywhere has significantly improved our ability to automate both standard and complex business processes. Initially, we focused on traditional rule-based automation to streamline end-to-end workflows in functions like finance and HR, which delivered strong ROI.

More recently, we’ve expanded into HyperAutomation where we have used Automation Anywhere to orchestrate the end to end AI solutions. These tools have allowed us to tackle tasks that previously required manual intervention by enabling role-based, persona-driven agents that make near human-level decisions with human oversight 

One of the most valuable features of Automation Anywhere is its low-code/no-code framework, which enables us to quickly build reusable automation templates. This has made it easier for both developers and citizen developers to scale automation across teams.

As a cloud-native platform, it offers an intuitive and accessible development experience, which has accelerated adoption and reduced infrastructure overhead.

While the platform’s features and enterprise support have been excellent, one area for improvement is greater flexibility in packaging and pricing. It would be helpful to have more modular options that allow us to selectively license features based on our needs without committing to the full suite.

This would improve cost efficiency and make it easier to align the platform’s capabilities with our automation strategy as it evolves.

I have been using Automation Anywhere for over ten years. I play different roles in consulting, being within the product, and trying to be the implementer, leading to multiple implementations.

I would rate the stability and availability of Automation Anywhere at 9 out of 10. Since moving to the cloud platform, we’ve experienced minimal downtime, and overall reliability has been excellent. It’s one of the most stable enterprise automation platforms we’ve worked with.

Automation Anywhere has scaled well with our evolving business needs. We've been able to expand usage by adding more creators and runners as required, and the licensing process has been straightforward and efficient. The platform has supported both incremental growth and larger strategic shifts without friction, which gives us confidence in its ability to scale further as our automation footprint grows.

I would rate Automation Anywhere support a seven out of ten. Enhancing the support tiers might be beneficial, and pricing has been a primary challenge, with a need for cheaper options and more tiered support.

We do not have premium support. While we possess a basic support package that has been really good, we are considering premium support packages for the future, however, we have received ample assistance from Automation Anywhere for critical issues we've faced.

We previously used earlier versions of Automation Anywhere, and during our transition from v11 to A360, we evaluated the improvements through a series of proof-of-concepts. What stood out was the enhanced developer experience, broader connector support, and the overall seamlessness of development and deployment in A360 compared to prior versions. These improvements solidified our decision to continue with Automation Anywhere as our automation platform of choice.

Straightforward, and we were able to apply all templates and best practices when we rolled out the solution internally

Mix of both internal as well as vendor team. Vendor experience has been great

We've seen strong ROI from Automation Anywhere in two main areas. First, traditional automation has helped us streamline end-to-end processes in functions like finance and HR, resulting in measurable operational efficiency. Second, AI orchestration has allowed us to manage and scale multiple AI-driven use cases effectively, extending the impact of automation beyond rule-based tasks.

While we can't share specific metrics, the overall value—in terms of time savings, consistency, and scalability—has been significant.

In our experience, setup and licensing with Automation Anywhere have been smooth and straightforward. Our vendor management team worked closely with a partner and Automation Anywhere to handle licensing, and the cloud-based setup was efficiently managed by their team. We've used the platform for over 4 years without any major licensing or deployment issues.

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Our use cases for Automation Anywhere primarily started with finance and accounting, order-to-cash, supply chain processes, and then reporting areas, and now we are going towards more end-to-end automation. 

The main challenge or objective I am looking to solve with agentic process automation is that APA, again, the next step after RPA, is we're looking at more cognitive, probabilistic and cognitive solutions using NLM, which is also self-healing, self-learning. 

The primary use cases start with procurement, payment or customer management, order management cycle.

Automation Anywhere's features benefit our company since we deal with a myriad of customers, and we're talking about different security protocols, requirements, and we are a global company. That puts us in a position where we have to comply with the local regulations of each country. Automation Anywhere follows the same protocols, and they are compliant on GDPR and other areas, making it easy for us to expand.

What I appreciate most about Automation Anywhere is the high degree of interoperability, and they have both on-premises and cloud versions, which allows us to ensure that we are properly following the protocols and ensuring seamless integration with our native systems. 

In the age of agentic AI, the biggest challenges for me and my company occur when different players come up with their own copilots. The key factor that will help us from a scalability standpoint is integration. There are multiple ways to achieve this, not just through the presentation UI layer, but also through the database side or using an API. A high degree of versatility of the tool and interoperability is essential, not just from Automation Anywhere but also from other applications, because if they are too closed, it will not allow for seamless end-to-end automation.

We're doing a POC with the AI Agent Studios. It's promising. They are trying to address some of our concerns.

We have a robust AI governance approach in our company. We're trying to play with some low-risk cases. We have a good framework, and that's getting implemented alongside agentic AI.

Document automation has been phenomenal. There have been a lot of changes and updates to it, and it is serving a very good purpose right now with document classification and document automation coming into play. Using AI enabled framework, we're able to fetch the details from it and also give input to our downstream processes.

Document automation is definitely a tool that will help us provide a better experience for our employees and our legal departments or any department that is dependent on documents that we're getting from outside parties, which are nonstandard, nonstructured. It helps us from an overall digitization of a documentation and its summarization of it. At the same time, using the cognitive abilities of an LLM, we are able to trigger actions.

For some of our purchase order processes, we did a pilot. It provided about a 90% reduction in time. You don't have to read the entire email and you don't have to read the PDF. It reads it, contextualizes it, and finds all the key areas important to the purchase order.

Automation Anywhere has been promising a lot in the last three years, and the roadmap they laid out on APA is definitely going to help businesses. A lot of work has gone into it, and the latest APA-related releases are very good. 

The key area where improvement can happen is understanding the different perspectives and different industries that they're serving in terms of industry-wise use cases. 

The improvement points can be summarized as trying to provide more accessibility for those AI agents they have built so that people can start testing APA. Additionally, they should try to evangelize more APA with organizations by allowing them to try and test first before they can go for a wider option.

I have been using Automation Anywhere for six years. We started with the initial version, and now we are going towards the cloud version.

Automation Anywhere helps me overcome the specific challenges and we're working very closely with them. We did bring up some of the issues that we want to address. Automation Anywhere was able to help us by sharing best practices, how other players are doing, and how we can still use Automation Anywhere and be compliant with the requirements while respecting the security protocols and the identity protocols.

Positive

We evaluated other products, and we decided on Automation Anywhere, which was easier for us as we went towards the on-premise solution. We didn't try other products. We were thinking about it since it complied with all the requirements.

The deployment was not difficult. Automation Anywhere helped us. 

There is maintenance needed. You need to keep on updating it as it gets complicated from a security system standpoint. You have to make your software more resilient to handle hackers and to ensure that no vulnerabilities. That's a work in progress, always.

From a pricing standpoint, the value that we drove when we first hopped onto this journey was significant compared to the ROI. The ROI was significant compared to the investment we made. 

My experience with the pricing, setup costs, and licensing of Automation Anywhere has been very open in terms of what's possible and what's not possible. We are always looking at trying to play within the boundaries of budgets while delivering business impact.

Overall, the pricing strategy has been fairly good for us, and it works for us. When we're looking at adding enhancements, that's when it gets a little difficult. It's all about getting as much bang as possible for the buck that we're spending, leading to hard negotiations. However, they've been understanding. Automation Anywhere understands the business needs and tries its best to deliver.

I did not consider other products in my journey, as this work was already done by our IT team, so we didn't have to reinvest the effort.

We are moving from on-premises to the cloud. We're looking at Copilot. We expect it to accelerate and help us in the future. We don't have to start from ground zero to get to the next step.

We are not using the COE manager; we have our own tool.

I'd rate the solution nine out of ten.

Right now, my use case for Automation Anywhere is that we're in the middle of an AP invoice automation project, automating invoice entry into our Oracle EBS system.

What I appreciate the most about using Automation Anywhere is that I find it very easy to use; the connectors are great, the layout's great, the functionality is great, and it just works, so it's pretty good. Using Automation Anywhere has improved our company significantly, as we are doing over eight to 10,000 invoices a month, which people had to do before, while now the automated process is doing that without too much human intervention, saving probably about at least two to possibly three FTEs per week.

Regarding the pricing, setup costs, and licensing of Automation Anywhere, I think it could always be cheaper, but it seems fair and it's a good product. I think they should figure out a way to allow development environments that don't require licensing for unattended so I can test without taking away production licenses.

Automation Anywhere is already pretty robust and we have not run into a problem connecting everything; we connect everything from Office 365 to Oracle databases, to Oracle EBS systems, to Workday, to other systems, and I have not found a use case that Automation Anywhere hasn't been able to accommodate, so we are really happy with everything we've seen.

My biggest suggestion would be to allow us to set up test and development licenses or environments that don't use unattended licenses needed for production. Currently we have six licenses and can use only four in production due to the need for test licenses that don't get used often, sometimes just once a month, while we either have to switch them back and forth or deal with not having all the licenses we need. I understand they don't want abuse, but it seems having a better way to handle this could be beneficial.

I have been using Automation Anywhere for approximately nine months.

I have not really seen an impact yet from Automation Anywhere's visibility in the automation lifecycle, as we are in the very beginning of it, but it does look having a good framework.

Automation Anywhere has helped me overcome these challenges as it, along with another tool called Hyperscience, has completely changed how we process invoices, automating what humans used to do from beginning to end. Automation Anywhere has helped me achieve my automation goals, as we are in the middle of it and it's helping month after month, allowing us to continue to add suppliers and invoices while it just does what it needs to do.

I was not using another solution before Automation Anywhere. We started this journey with Automation Anywhere and have actually added Power Automate into the mix, especially around end users, as we're a big Microsoft shop and everybody has some form of a Power Automate license. We decided on Automation Anywhere over UiPath and Blue Prism based on what the product could do for us.

Document automation has impacted efficiency and productivity massively, as we are processing approximately 8 to 10,000 invoices every month, with probably another 8 to 10,000 more to go, different suppliers and a different accounting structure, and it handles everything we throw at it. I have measured the time saved by using document automation in document processing, approximately noticing we are at roughly three minutes per invoice, saving about 60 man-hours per week.

I don't know the biggest differences between Automation Anywhere and Blue Prism and UiPath, as I wasn't part of that conversation and I have not looked at Blue Prism or UiPath. My understanding of UiPath is that they claim to have a lot of features, though not much of it is as relevant as their marketing material might suggest. Regarding Power Automate, I have delved deep there too and noticed they struggle with having both cloud-based and desktop-based functionalities, making it difficult.

The main challenge I was trying to solve by intelligent process automation around AP invoices was that the current AP team had a backlog of a couple months of invoices, taking them quite a long time, and it didn't become feasible to keep adding more people to a team that already had many, so they needed a solution and the automated process was that solution, allowing us to grow and add more invoices and suppliers without needing more people and reducing the backlog to under a week.

I am not utilizing the AI Agent Studio in my automation process yet, as we don't have a license for that, but we're exploring it. Both I and another person on the team are in training that Automation Anywhere had a few weeks back for agent AI, which is really interesting and we're excited about, though we don't have a license for it just yet.

My impression of the AI governance features in maintaining compliance and data integrity within my company is that we are just starting to explore that, and it looks very helpful. We are setting up a Center of Automation to solidify those rules and needs for governance, and the tool itself seems to do a good job at facilitating that.

I am starting to utilize Automation Anywhere CoE, as once we started getting most of the invoices in, we are having meetings about starting this project this week and next month. I perceive the cloud-based nature of Automation Anywhere CoE Manager as effective for managing our automation pipeline. We use the SaaS product exclusively at this point without anything installed internally, except for some internal machines that have Automation Anywhere installed from a client perspective.

On a scale of 1-10, I rate Automation Anywhere a 10.

Our main use cases for Automation Anywhere are across finance functions and accounting functions, such as helping with the monthly close. We are evaluating multiple processes for standardization across our locations, helping with any repeatable month-to-month processes, and identifying where automation can provide value as a tool across multiple systems. 

We have been reaching out to various finance departments and conducting process mining while focusing on repeatable processes. More importantly, we are trying to push the edge to introduce some Artificial Intelligence and more complex decision-making, venturing beyond just simple if-then processes.

We have been using Automation Anywhere for about two and a half years now, focusing strictly on migrating over 100 automations from Blue Prism in the first year. Lately, there has been a focus on developing new automations, trying to take advantage of the latest technology with Automation Anywhere, and seeing where that technology can be applied in various areas of our business.

Some features of Automation Anywhere that I find most valuable are its ease of use, making it much more user-friendly than Blue Prism, the tool we transitioned from. Our IT support encountered difficulties supporting those automations. With Automation Anywhere, we have a much easier time supporting and developing new automations. Additionally, we have experienced great support from Automation Anywhere, having weekly meetings where they suggest best practices with the latest releases and are always available for support when needed, ensuring the successful onboarding of new automations.

We have factories all across the world, with locations in Korea, Taiwan, Japan, all across Asia, and even Portugal, so my responsibility is to identify where those automations can best be applied, whether specific to those locations or as a universal automation applicable across many locations. I have been working to establish a finance center of excellence and working closely with Automation Anywhere to see how it can be universally applied as well.

We have recently started to use document automation in our processes, particularly in our Korea factory, where our counterparts are migrating from their original OCR technology to utilize Automation Anywhere's solution. We are finding it to be a much better solution, as it is not very one-dimensional the previous one, allowing us to integrate it with some of our current RPAs.

Automation Anywhere plans to integrate with various other solutions. Whether through APIs or integrating Azure Tech solutions, I am thrilled because some of our current work not specific to Automation Anywhere should be integrated with its solutions. I appreciate their open-minded approach to making it more universal and applicable to everything else.

I would wish for a greater focus on citizen development, which is a priority for our company.

We have been using Automation Anywhere for about two and a half years now, focusing strictly on migrating over 100 automations from Blue Prism in the first year.

Using Automation Anywhere has been very stable and reliable. The team supporting us keeps us informed about the latest releases, and if any changes could affect existing automations, we are always kept up to date. We receive notifications through email and our weekly updates about any potential impacts. So far, we have not experienced any adverse effects since implementation, and I do not foresee any reasons to expect issues in the future.

Automation Anywhere scales well with our needs for the growth we have planned at our company. We are pursuing several AI initiatives, currently strategizing to roll out Azure Tech AI solutions alongside various use cases. As we are using Microsoft Copilot for our AI agents, I look forward to integrating it with Automation Anywhere and its solutions, seeing it as a beneficial partnership as Automation progresses toward AI as the main solution.

I think Automation Anywhere's customer support is fantastic. They are consistently available when we need them. I would wish for a greater focus on citizen development, which is a priority for our company. However, whenever we have questions or needs, they are always addressed. We really have not encountered any issues with customer support.

Prior to adopting Automation Anywhere, we were also considering UiPath, as some of our factories moved forward with their own solutions and IT teams exploring RPA options. However, Blue Prism was the main tool across the company. 

In evaluating Automation Anywhere against UiPath, Automation Anywhere emerged as the winner due to its ease of use. Everyone appreciated the drag-and-drop features of the tool and felt most comfortable with it, aligning with our company's strong focus on citizen development, which is why Automation Anywhere became our chosen tool.

The deployment of Automation Anywhere went smoothly. They were very supportive with the migration of all of our existing automations and also being there and supportive with the development of the new automations. 

The team was fantastic. They're continuing to support and track not only migration, but encouraging us to bring on new automations as soon as possible. We're trying to keep up with them pushing us, which is great.

The team was fantastic, providing ongoing support not only for migration but also encouraging us to bring on new automations as soon as possible.

Some benefits I have tracked from using Automation Anywhere relate to the Finance Automation COE I established. We are reviewing all automations to track metrics for time and money saved, with the most recent evaluation showing over $20,000 saved per quarter just from our finance automations. We plan to expand our estimates to include all automations in the company, but it is encouraging to see real value being generated from Automation Anywhere and its tools. This tracking allows us to monitor progress and promote additional automations, inspiring others to implement them as well.

I was not directly involved in the pricing, setup costs, and licensing of Automation Anywhere.

Prior to adopting Automation Anywhere, we were also considering UiPath. Some of our factories moved forward with their own solutions, and IT teams are exploring RPA options. Largely, across our organization, Blue Prism was the main tool. Automation Anywhere ended up winning out thanks to its ease of use and citizen development tools.

I would rate Automation Anywhere a perfect ten out of ten, considering it is significantly better than what we had before. We had some exposure to UiPath and other solutions, however, for our specific needs, a ten is justified as this solution fits our model well.