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

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

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

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

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

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

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

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

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

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

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

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

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

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

The implementation team consisted of more than 100 people.

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

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

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

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

I use Automation Anywhere as a basic workflow manager. It is used to share and manage the project.

What I like the most about Automation Anywhere is the bot creation feature. We also appreciate its secure orchestration with the other products.

Since it is AI-powered, it automates our work. Initially, we had many manual interventions, but now with the AI-powered capabilities, we are saving time and our productivity has increased.

We find the feature complex for new users. Once we started using it, the user interface is quite difficult because it has a lot of features. That's the reason at the early stage it is complex, and we find it quite difficult for new users to use.

First of all, Automation Anywhere has a complex workflow which requires more technical expertise. That's understandable because it has a lot of features, but we also need to spend more time getting our team accustomed to it. Additionally, the user interface is quite outdated and could be more user-friendly. The licensing cost is also too high, which means many small-scale industries may not choose this product.

Regarding how easy or difficult it is to train new employees on how to use Automation Anywhere, it is quite complex for new users to get adopted to it because of the many features, and going through each of the features is quite difficult for new people. However, once you get them trained, then we are good.

I have been using Automation Anywhere in my career for the last two and a half years.

Regarding stability, we have deployed it in cloud infrastructure. Sometimes we do face sluggishness, but it's acceptable. Not every time, but it's manageable. Until now, it has been stable.

Regarding the scalability of Automation Anywhere, we have multiple LOBs currently working on it. It is scalable. We firstly deployed it on one of the LOBs and found it good, working as per our expectations, so we then moved it to the other LOBs as well. I can say it is scalable for large to small industries. There are many products that need infrastructure to support their product, but we didn't find any issues with implementing this product. We also have not made any changes in our environment to get it deployed. It was deployed as per our existing environment.

Automation Anywhere requires that maintenance is taken care of by the development team only. If there is anything needed, we contact customer support. We have support from them as well. To be honest, until now, we have not faced any major issues, and for whatever issue we have faced, either the support team has helped us or the PS team has helped us.

Regarding the support of Automation Anywhere, their response time is quite low, but the people are technically proficient and efficient to help us in any situation.

Because of the response time, I will rate the support for Automation Anywhere a seven, as we need to follow up many times with them to get a response.

We were first using WorkFusion.

We are preferring Automation Anywhere more.

I can say the initial deployment of Automation Anywhere is between easy and complex because it takes time, but the vendor was helpful. We implemented it firstly through a partner, and then as time has gone on, we started deploying it on our own. The vendor team, the OEM team, and the Automation Anywhere team helped us whenever we found any issues. They are helpful.

There was a partner team with two people for the deployment of Automation Anywhere. However, it can be deployed with one person as well.

We started deploying Automation Anywhere in a phase-wise manner. We have multiple LOBs, so we started with one of our LOBs. Once we got accustomed to that, we had our testing phase first, then we had our production phase. Approximately, I would say one to one and a half months, with one month being approximate. There was also a dependency from our side to get things ready for them. Since we are an IT service company, we had to comply with all the regulations.

We are in the phase of testing Automation Co-Pilot, and it really helps us a lot.

Regarding the pricing, I learned from the sales team that the pricing for Automation Anywhere is quite high compared to WorkFusion, which we were using previously. The shift to Automation Anywhere was totally a sales call decision. The pricing is quite high according to what I was told. To be honest, I'm not from the sales team, so I can't say much on that.

Everyone from our sales team to our HR team, our engineering team, and our support team uses Automation Anywhere without any issues.

I rate the solution overall for everything as eight.

We do not cater to clients; we are automating in-house processes like finance and HR, payroll processes, accounts payable, accounts receivable, and collection. These are the kinds of use cases, with separate teams for each domain, while our team mostly focuses on the finance part of it.

I appreciate that Automation Anywhere is so user-friendly, and currently, our team is learning Power Automate and migrating some of the processes as we go. I find Automation Anywhere very developer-friendly, and I have been in this field for seven years, working on tools like UiPath and Automation Anywhere, then switching to Power Automate, which comes with quite a bit of a learning curve. Something that can be done very simply in maybe one or two lines in Automation Anywhere takes a lot of workaround in Power Automate. Automation Anywhere has positively impacted my organization primarily because the deployments were mostly done before I joined, and I focus on knowledge transfer and migration. However, from what I understand, during COVID, they started RPA in our firm and saved a lot of manual hours by automating the business processes, which was a lot of help especially during that time.

One area for improvement with Automation Anywhere is that while Power Automate has very simple integration with Microsoft tools, it is something that could be worked upon. Even in my previous organization and many other organizations are shifting towards Power Automate, especially companies catering to clients because of the cost efficiency with Power Automate, which is also something you can take into consideration. I confirm that while the product has advantages in terms of pricing, in terms of integration, it needs some improvement.

My current experience in this field is seven to seven and a half years.

The deployment of Automation Anywhere is quite simple for me.

We actually have some citizen developers in our organization who develop entire processes on Automation Anywhere, even with very little knowledge of how RPA works. During the migration, I had the opportunity to meet some of these business users when they came to India a couple of months back, and we had the same conversation that Automation Anywhere was very user-friendly compared to Power Automate, which is something everyone appreciated.

There have been many instances, particularly in my previous organization where we did a lot of development in Automation Anywhere, catering to clients like CPA firms in America, where we raised tickets for solutions but did not always find a satisfactory resolution, despite connecting over a call.

I previously used UiPath, but not in this firm where I have been for only seven months, focusing on Automation Anywhere and migrating to Power Automate.

I do not remember approximately how much time the deployment for this product took.

I could implement it all by myself without any consultancy or help from outside.

We do track ROI, though I do not have the exact statistics in mind. For every man hour during any deployment, we estimate about $70 saved based on how much it takes manually to do that process, and we track that every time the bot runs.

I am considering Power Automate because of the cost.

In my current role, I joined about six or seven months ago, and they have been using Automation Anywhere for three or four years with a renewed license for another three years. Automation Anywhere has positively impacted my organization primarily because the deployments were mostly done before I joined, and I focus on knowledge transfer and migration. However, from what I understand, during COVID, they started RPA in our firm and saved a lot of manual hours by automating the business processes, which was a lot of help especially during that time. The challenges I was trying to resolve by implementing Automation Anywhere mostly revolve around automating repetitive business processes, as during COVID, there was a lot of extra work in my role within the aviation industry. Streamlining the business processes made a lot of sense and helped boost the revenue significantly. I provided this review with an overall rating of 8.

Finance is where it starts in most companies. Other areas are slowly adopting it. In banking, automation is taking place in underwriting, loan process origination, loan documents, and servicing. Automation Anywhere has established a strong legacy in finance and accounts. Given its extensive options, it can be implemented across multiple industries such as banking, capital markets, oil and gas industries, specifically in finance and accounts, and HR processes. It is particularly useful for repetitive and bulk document-based policies, setting up vendors, setting up employees, and numerous document-based aspects.

Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time.

The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere.

The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details.

Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.

The normal RPA automations and integration with agentic AI are functioning effectively through Automation Anywhere. However, regarding document training, improvement is needed. Currently, it requires 10 or 12 formats for decision-making, which might not be optimal. The limited sample size affects automation efficacy, resulting in 50-60% accuracy. This needs refinement to achieve 75-80% accuracy with document understanding, reading, and processing various document types. The current accuracy rate of 60% for document-based automations requires human intervention. Focusing on improving this area would be beneficial.

I have been working in automation for the past six to seven years.

Maintenance is required for load handling, and some automations occasionally become idle due to sunsets. Customer support for error handling and troubleshooting is necessary. Currently, human dependency remains for these aspects.

The system is extensively used, with scalability depending on the number of licenses acquired. Each bot license handles a specific workload volume. Automation scale can be planned based on workload requirements, necessary downtime, and maintenance needs. Automation Anywhere accommodates these scaling requirements.

They are highly responsive to customer needs. I would rate their service as nine out of ten.

The setup process is quite straightforward. With agentic AI, we can incorporate APIs, integrate normal automated processes, and third-party tools. The workflow integration process is simplified, offering options to use existing objects or create new ones.

Implementation requirements depend on the specific process. Some processes require extensive in-depth study, while others involve simple automation. The complexity varies based on the process type and documents used.

Both time and cost benefits are achieved. While specific client details are confidential, the solution reduces time, increases accuracy, and decreases the number of process steps required to perform tasks. These improvements result in significant cost reductions.

From an RPA perspective, it is affordable. Integration with LLM increases costs. Considerable focus is required on fine-tuning prompts, standardizing processes, and implementing effective guardrails. The expense of Automation Anywhere varies depending on implementation methods.

The tools include ERP systems and existing automations. Automation Anywhere is platform agnostic and can work with multiple tools, including proprietary customer tools, in a collaborative manner.

Per bot, 0.10 FTE is achievable. Business analysis training requires approximately 20 hours.

Many on-premise features have migrated to cloud platforms to leverage agentic AI benefits. Automations and agents are predominantly deployed in public or private clouds, depending on organizational requirements.

Automation Anywhere continues evolving with a focus on business services. They need to conduct better research on document reading and improve the accuracy of agentic and GenAI automations to differentiate their product in the market.

I rate Automation Anywhere an 8 out of 10.

At our organization, our primary use case of Automation Anywhere revolves around streamlining the large-scale, repetitive processes across different banking operations, where manual intervention earlier consumed enormous time, effort, and created a higher chance of error.

As one of the top private banks in India, our system handles millions of transactions daily, encompassing a range of services, from retail banking to corporate services, compliance to reporting, loan processing, credit card management, and customer onboarding, among others. Traditionally, many of these tasks were highly manual and involved a large back-office operation team that manually verified data, reconciled ledgers, prepared compliance reports, processed customer KYC documents, and handled various other service requests. This is where we thought of having one RPA tool and implemented Automation Anywhere as a robotic processing automation solution for us to automate repetitive, rule-based, and high-volume processes.

One of the biggest use cases is KYC and customer onboarding, where bots can now automatically scan, validate, and update the customer document and compliance with our regulatory bodies, drastically reducing the manual handling. Similarly, in loan processing, bots can extract data from customer applications, check it against the credit policy, and route only the exceptions for manual review. In payment and reconciliation, bots automatically match thousands of daily transactions between internal ledgers, payment gateways, and external clearing systems, ensuring accuracy and freeing staff to handle only exceptional cases.

Another critical case is regulatory reporting, where Automation Anywhere bots compile data from multiple core banking systems and format it according to the regulatory template, submitting reports accurately and on time. This was once a massive pain point during audits and is now done seamlessly. Fraud monitoring is also a very important use case where bots scan thousands of transactions in nearly real-time, looking for anomalies such as unusual withdrawal patterns, sudden overseas card usage, or duplicate transactions. While final decision and escalation still rest with our risk team, the bots act as the first line of defense for us, flagging suspicious transactions or activities instantly.

Our primary use case is not limited to a single department; rather, it involves removing inefficiencies from various business lines where repetitive, high-volume, rule-driven tasks exist, making the tool a backbone for our digital transformation strategy. To put it simply, if we had hundreds of people handling these processes in a day earlier, with automation bots, we now need only around ten to twenty people to handle the exceptions. This reflects the essence of our use case: scaling operational efficiency by combining human judgment with the speed and accuracy of robotics.

What I appreciate most about Automation Anywhere is how it transformed the repetitive, manual, and error-prone banking processes into a smooth, automated workflow that saves time, reduces human error, and gives the team space to focus on meaningful tasks. In a large organization where thousands of transactions and operational requests flow in daily, the platform's ability to handle scale with accuracy is truly remarkable.

My favorite aspect is the flexibility and breadth of the automation possibilities, from simple tasks such as data entry, reconciliation, report generation, to highly complex workflows involving compliance checks and fraud detection triggers, and integration across multiple systems. The bots work round the clock, ensuring faster turnaround time and consistency, something no human team could match without fatigue.

I also value that the platform comes with pre-built commands, reusable components, and AI/ML integration, making it easier to tackle complex tasks without reinventing the wheel. Another highlight is its strong governance and security features, which are very important for organizations given how critical data protection and compliance are in banking. The granular control, audit logs, and encryption mechanisms provide peace of mind that automation is safe, compliant, and transparent. The visual interface and dashboard provide real-time monitoring and performance tracking, helping leadership quickly see the ROI and efficiency gains.

There are certain areas where improvements would make a significant difference in Automation Anywhere. One area that could be better is the user interface and the overall user experience. Business users who are not deeply technical on the platform sometimes feel overwhelmed with too many menus, options, and configurations. Although the idea is to make automation accessible to both IT and business teams, the learning curve is still steeper than expected, and more intuitive drag and drop, plug and play simplicity would speed up adoption across non-technical departments.

Another area needing improvement is bot maintenance and troubleshooting. While building bots is relatively straightforward, keeping them running smoothly in a dynamic banking environment where system updates, application changes, or small UI tweaks happen frequently can cause bots to break. When this happens, the troubleshooting process is not always as seamless as it should be.

On the scalability side, while the platform handles large-scale deployment effectively, the infrastructure requirements and licensing model can get expensive as the number of bots and processes grows. In a cost-sensitive industry like banking, where automation needs to prove clear ROI, a more flexible pricing structure would assist organizations in expanding automation more aggressively without feeling constrained by budget considerations.

We implemented Automation Anywhere around 2018 and 2019, through our digital transformation journey. We have been using it actively for over five years now.

The stability is good overall. Once the bots are built and tested, they perform consistently. However, stability issues arise when the core system undergoes upgrades or when workflow changes occur. Proper governance, version control, and a bot maintenance team are essential to ensure uninterrupted functioning. I would rate it eight out of ten.

It scales very effectively. From a handful of bots, we expanded to hundreds across different departments. The centralized control room allows us to orchestrate and manage bots seamlessly. Scalability-wise, it has not been an issue; the challenge is more on governance and prioritizing processes for automation. I would rate it eight out of ten.

The customer support is always responsive, but sometimes resolution time is longer than expected, especially for technical escalations. The local partner ecosystem in India is strong, and we have benefited from their expertise. I would rate it 7.5 or eight out of ten.

The initial setup required effort, especially for integrating with legacy banking systems. However, Automation Anywhere provided good documentation and local support, which made the process manageable.

Implementation was done jointly by our internal digital transformation team and the Automation Anywhere partner vendor, who played a key role in bot deployment and training our team.

The return on investment from Automation Anywhere at our organization has been both tangible and intangible, delivering value far beyond the initial financial calculation. From a direct standpoint, the biggest gain has been cost savings and operational efficiency. Processes that earlier took hours of manual effort are now executed in minutes, translating into a massive reduction in man-hours and labor costs.

With bots handling these tasks, we have freed up thousands of hours each month, allowing employees to shift focus to higher-value work, such as customer relationship building, assessments, and further innovations. Manual processes, regardless of how well-trained the staff, are prone to mistakes, particularly with repetitive data entry. Automation Anywhere has minimized this risk, saving costs related to rectification and improving compliance adherence to avoid penalties in a tightly regulated industry.

Beyond direct savings, there is a significant impact on speed and customer experience. Faster turnaround times for services such as loan approval, account onboarding, or transaction reconciliation improve customer satisfaction, which indirectly translates into better retention and higher revenue opportunities. Thus, Automation Anywhere's value cannot be measured solely in the money saved, but in the holistic transformation it has brought, which reduces costs, minimizes errors, speeds up services, improves compliance, enhances TAT, and results in happier employees and customers.

The pricing is a bit on the higher side compared to competitors. The bot-based or user-based licensing model can become expensive as automation expands, but the ROI justifies the investment in the long run.

While choosing this tool, we compared Automation Anywhere with other competitors such as UIPath and Blue Prism during our shortlisting period, before 2018 and 2019. Automation Anywhere has been a game changer in our digital transformation as it improved efficiency, cost, and compliance, which is a unique proposition that comes together with Automation Anywhere. Other solutions provide automation but are not as strong on the compliance side, where Automation Anywhere has the upper hand.

We are a customer who integrated ServiceNow seamlessly and feasibly. I estimate around 30% to 40% integration. We have not used Co-Pilot in Automation Anywhere as it was fully deployed. We are on a multi-cloud setup, specifically using AWS and Azure. We have a team of around 15 to 20 people managing Automation Anywhere, comprising business, IT, and vendor personnel. I would definitely recommend Automation Anywhere.

However, I would advise organizations to start small with a clear use case, establish strong governance for bot management, involve business, IT, and operations teams collaboratively, and plan for continuous monitoring and improvement, which is crucial for deployment.

My overall rating for Automation Anywhere is nine out of ten.

The use cases for Automation Anywhere are industry-agnostic and sector-agnostic, allowing for automation of processes that involve human interaction, mundane tasks, and large volumes. With the help of AI, we can now automate a lot of unstructured data, which wasn't possible before, so it's not limited to any specific sector or process. Whether it's HR, marketing, sales, operations, or engineering design, any of those can be considered for automation.

The main benefits of Automation Anywhere include improved operational efficiency, enhanced productivity savings, increased cost savings, new revenue streams, and a reduction in regulatory human errors. These are some of the major benefits it provides. For example, if a human takes one hour to perform a transaction that involves navigating through multiple systems and inputting data, Automation Anywhere can reduce that time significantly. The bot can complete the task in about 20 minutes, saving roughly 40 minutes per transaction, which translates to a 60%-66% time saving, enhancing overall productivity and cost efficiency.

They have introduced numerous AI-related enhancements in their product, making them the first among their competitors to develop a reasoning engine. Their PRE reasoning engine is particularly noteworthy, and they have quickly integrated Generative AI into their document automation product. Additionally, they offer a variety of other AI features and have designed the platform to be cloud-native. The AI features they have implemented stand out; they are indeed leading the pack. This strategy is impressive and effectively empowers their product with a wide range of AI capabilities, which are increasingly important in today’s tech landscape, especially with the rise of AI, Generative AI, and Agentic AI.

Automation Anywhere also provides Agentic AI-related APIs and is currently testing Agentic process automation in its early stages. In terms of product capabilities and AI integration, I would definitely rate them a ten out of ten. They are the fastest to reach this level of advancement compared to others, who seem to be lagging behind. For example, Blue Prism is progressing quite slowly, and while Power Automate has some AI features, they do not match the scale that Automation Anywhere has achieved.

Its pricing definitely needs to be more competitive. When licensing costs are high, we cannot use this tool for automation. Instead, we might opt for a lower-cost tool like Power Automate which is 50% less expensive.

Power Automate offers very seamless integration with the Microsoft ecosystem, including Azure cloud services and other Microsoft products. In contrast, Automation Anywhere has to rely on external LLMs for integrations. If Automation Anywhere can improve the ease of these integrations and provide them natively within the platform, it would greatly enhance its appeal.

I have been working with Automation Anywhere for over the last eight years, although not extensively in my current role. In previous journeys, I have used it for around three to four years. Currently, we use Automation Anywhere, but not extensively.

At this moment, I'm not sure about the stability of Automation Anywhere, but in previous experiences, I faced challenges with stability, which required ticket submissions for support. We encountered several challenges related to platform and technical issues. For instance, sessions would occasionally get disconnected unexpectedly. In those cases, we would raise a ticket with the vendor to get support. However, since we haven't been using the system extensively, we haven't faced many issues.

All these automation platforms, including Automation Anywhere, are highly scalable; depending on volume, you can adjust the number of bots, scaling instantaneously in the cloud. For on-prem solutions, one must ensure they have the necessary infrastructure ready for scaling.

While it is easy to scale with Automation Anywhere, I have not experienced extensive scaling in my previous encounters. The maximum number of bots we had was around 20.

I haven't raised many tickets recently to evaluate their technical support, but I know they have a dedicated partner manager. It has been good in my previous experience.

We are also using UiPath, Blue Prism, Power Automate, and the Microsoft stack. Mainly, the license costs of UiPath, Automation Anywhere, and Blue Prism are high, so we use Power Automate and Power Platform heavily.

It is generally easy to deploy. We use Automation Anywhere with both AWS and Azure.

Maintenance is indeed required for Automation Anywhere; you have to follow the vendor's product patches and version upgrades to keep it maintained.

Upgrading Automation Anywhere follows a standard process that they provide detailed instructions for, and we adhere to those guidelines. The upgrade process feels similar to any other software platform; I don't find anything particularly complex or different about it.

There is a separate team for bot maintenance, and if the bots are stable, maintenance needs tend to be low. However, if issues arise, maintenance efforts can significantly increase.

The return on investment from Automation Anywhere varies based on the business case and the benefits versus costs involved; for simpler RPA use cases, ROI can typically be achieved within a year.

Pricing needs to be more competitive, both in terms of licenses and overall expenses. This is crucial because many use cases cannot be automated if it isn't cost-effective.

We have not extensively tried Automation Anywhere with business users because they have added a lot of AI features that are difficult for them to understand. We also do not want to encourage business users to create automations that do not comply with regulations, compliance, and best practices, which presents a risk. Therefore, we've only utilized it within the CoE team for now.

For existing developers, the learning curve for Automation Anywhere is easy to pick up. However, for business users, it might take some time, especially if they lack a programming background.

I have heard about the Automation Co-Pilot, and it sounds very powerful and useful. The Co-Pilot can generate code based on a natural language prompt, which is a substantial feature as it can reduce development time by 30%-40%, allowing faster shipment of code to production.

In terms of integration, Automation Anywhere acts as a tool used to develop automation that connects to various systems, such as SAP, Excel, Outlook, and web applications. It doesn't integrate with other solutions directly but helps in automating processes that involve multiple systems. The platform provides capabilities for building various integrations, and that is part of what they sell. Automation Anywhere is fundamentally an automation platform that enables performance across workflows, APIs, business applications, and documents. API integration is possible with Automation Anywhere, but if specific APIs do not already exist, there is no way to create a new API directly within the platform. For that, one needs to create a new API using languages such as Java, Python, or C# before integrating it with Automation Anywhere.

Our organization places high priority on automation and AI. We are using the Microsoft ecosystem for many of our use cases.

For organizations considering Automation Anywhere, I advise that if you are focusing on AI features such as Generative AI or agentic process automation, it's a great choice as they are front runners in incorporating these functionalities early on. However, if licensing costs are a concern, the Microsoft stack would be more beneficial.

I would rate Automation Anywhere an eight out of ten.

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

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

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

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

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

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

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

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

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

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

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

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

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

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