Automation Anywhere Reviews

Our primary use case for Automation Anywhere began with order processing, specifically the order-to-cash process, where we manually enter orders from the customer through PDFs and other methods. 

We started from four bots and have grown to close to 60 bots at this point, expanding significantly from two or three processes to ten times that scale over the last five or six years.

Our document automation, specifically with IQ Bot as part of the automation, has significantly improved efficiency and proficiency, allowing us to be currently engaged in proof of concept initiatives aimed at further advancing the document automation process with generative AI.

Document automation has indeed been beneficial in handling large volumes of documents in our organization, where we process product-related data sheets that range from 80 to 120 pages, efficiently extracting data that would take a human several hours to read manually. I can confidently say that document automation saves us time, as it takes human effort significantly down from five to seven minutes manually per PO. It is being executed much faster by the bots.

One of the notable benefits we've realized from Automation Anywhere is a significant reduction in errors when processing data, which improves both revenue accuracy and operational efficiency.

In the age of agentic AI, the big challenge is moving to the next step. We are currently running all RPAs now. So robotic automation is the key for us now, and we are moving to the next generation of automation, which is agentic processing. We need a helping hand to make sure that our company strategy and the goal can be achieved with this agentic automation. This year, we have had a big push from our leaders to be involved, more and more, on agentic processing. That's a focus for us. 

As we evolve from RPA to APA, we are at the early stages. We're just moving over. The first step we are taking is a document automation with AI capability on top of it. That's our first step that we are doing at this point of time. Eventually, we'll get there, but it's really early.

We are using some AI. There are 20 to 30 tools at this point. So we are trying to bring in Automation Anywhere into one of those ten. It's in the evaluation phase at this point. There's a big team working on it. We want to get the right tool both legally and via a vetting process before we can bring any tool into the company. That's an ongoing process. 

Automation Anywhere can be improved by integrating self-correction capabilities into the bots, particularly as we develop RPA, where changes in environment paths require additional redeveloping efforts.

We've used the solution for around five to six years. 

There have been no downtime issues since we migrated to cloud. The availability has been good. 

Automation Anywhere is scaling well. 

As we aim to keep up with current technology trends, we are working on enhancing our growth rate moving forward.

We have around 2500 people worldwide.

The support from Automation Anywhere has been outstanding, with timely responses to submitted tickets and effective resolutions for issues that have arisen.

Prior to adopting Automation Anywhere, we used B2B automation for a long time for our needs, and the limitations of other tools in handling complex PDF transactions were significant factors that prompted us to consider a change.

I was significantly involved in the deployment of Automation Anywhere, being the sole person from my company starting this automation journey, and we faced some initial challenges, particularly with hardware setup when we transitioned from on-premises to cloud, which eventually became smoother.

I've seen a return on investment with Automation Anywhere, as we've measured time saved, starting from 50 days per quarter to about 1500 days per quarter with the deployment of bots, equating to substantial human time savings.

The pricing is average. It's not an expensive tool. The pricing is mid-range.

Before selecting Automation Anywhere, we considered several tools including UiPath, which we had set up for financial functions and Kofax for SAP automation, but ultimately chose Automation Anywhere for its scalability across the company.

For companies considering Automation Anywhere, my advice is to prioritize identifying and automating the most critical processes rather than trying to automate everything, ensuring that a thorough study backs these decisions to maximize support from leadership and demonstrate success. 

We are not utilizing Automation Anywhere COE manager, but we have developed our in-house COE manager since we started the process independently in 2019.

On a scale of one to ten, I'd rate the solution eight out of ten.

I am working for a financial organization, and we have implemented more than 100 Automation Anywhere bots in our organization from 2018 till now. Our organization holds all the teachers' annuity and 401k funds, and we automated a lot of use cases related to customer information updates as well as payments for those who are already retired, including pensions and related services.

Currently, my company is evaluating building some agnostic processes and creating our own LLM to consolidate data into a single data store. Once that LLM model is ready, we see an opportunity to automate many things using Automation Anywhere by calling those LLMs rather than multiple applications. Our top priority currently is document automation, extracting data from documents, which we have also been doing for the last three years. At the enterprise level, a separate artificial intelligence team is working on building an LLM that can be utilized by all other application teams.

Earlier, if a customer called our organization or created a ticket asking for their financial statement, it would take a couple of days to get that, but with Automation Anywhere, they receive their financial statements while still on the call.

Automation Anywhere has helped us save money, as we track use cases with ROI, resulting in FTE savings. For instance, last quarter itself, we processed almost six million transactions using Automation Anywhere, which involved around 70 bots running 24/7, saving about 150 FTEs.

Overall, it is pretty easy for non-technical business users to use Automation Anywhere. One week is good enough to train them, and it is 90% easy for them, except for some technical terms or knowledge required.

It integrates well. We have integrated various tools with Automation Anywhere, including PeopleSoft, ServiceNow, IBM Case Manager, Workday, and Clarity. We have integrated CRM tools, HR systems, and some homegrown applications and workflow systems. With IBM Case Manager, we were able to integrate Automation Anywhere for end-to-end process automation, handling case creation to completion.

What I appreciate the most about Automation Anywhere is that it does not require any technical knowledge; if we educate business people, they can automate their daily tasks and activities. It is easy to use for non-technical people, with a simple drag-and-drop interface, so they don't need to be technically savvy to automate their processes.

To improve the product, one aspect that Automation Anywhere can work on is archiving legacy data effectively. Currently, data older than current versions remains on the server, slowing the system down. 

Additionally, they should introduce a generic RE framework for better framework creation within organizations, along with enhanced task statistics captured at the transactional level rather than just the top level.

Their support should also be improved.

I have been using Automation Anywhere for almost eight years.

Scalability can be of two types: process-wise scalability where common functionalities are created, and infrastructure-related scalability where we forecast loads for upcoming quarters to adjust our current capacity accordingly.

I have contacted technical support multiple times. Especially when I was involved with IQ Bot and earlier A360 versions as a beta user, I faced numerous issues that required direct collaboration with the support and engineering teams for immediate resolutions or feature enhancements.

I would rate Automation Anywhere's support a four out of ten because the support is horrible for all customers. Response times and resolutions are significantly downgraded, leading to a frustrating support experience that ultimately harms the client-vendor relationship due to lengthy email back-and-forths instead of direct communication.

Neutral

It requires a bit of technical background from the server and infrastructure standpoint. If someone knows middleware, it is pretty straightforward. There can be hiccups here and there. Especially in the earlier versions, there were a few challenges, but it is now streamlined in A360. Everything is pretty easy.

Upgrading Automation Anywhere can vary in difficulty, with package version upgrades being easier than transitioning from version 11.3 to A360, which is tougher and requires significant setup work, including roles, accesses, and schedules.

I handle the whole deployment and system upgrades personally. I am supported by a couple of people working offshore for any issues. Overall, I manage all upgrades and installations, while the two others assist anyone needing help with particular VDI or bot issues.

I see the benefits of Automation Anywhere based on the ROI factor. While immediate customer satisfaction is noticeable because customers are able to get their statements quickly; from an organizational standpoint, it shows a return on investment within six to twelve months. 

Automation Anywhere has helped us save money.

The current pricing for Automation Anywhere seems a little higher compared to competitors Power Automate or UiPath. Automation Anywhere is perceived as pricey due to the support model charges ranging from 20% to 30% based on the plans. A lot of organizations are moving from Automation Anywhere or UiPath to Power Automate.

I was working at this company when Automation Anywhere was evaluated and deployed. I was one of the core members to identify what tool to use for RPA technologies for this organization. We evaluated Blue Prism and Automation Anywhere in late 2017, as those were the two RPA vendors available in the market. We identified Automation Anywhere and began onboarding from there onwards, working from scratch to implement it at the organization.

I connect with business leaders to review the processes and identify who is manually doing these processes. I connect with business leaders every month to identify the best use cases that need to be automated. We identify the processes that need to be automated or have chances for automation. We evaluate the ROI, and based on that, we go ahead with the implementation. We assess the ROI and compare the processing speed or delivery speed to customers and customer satisfaction as our measures to keep track of statistics for human versus automated processes.

We are not using the Co-Pilot, but I work with community forums and help others, gaining hands-on experience with the Co-Pilot. For real-case scenarios, we are not exploring or introducing the Co-Pilot to the business as we are still working in a hybrid model due to market conditions. Once the market stabilizes, all businesses will be happy to explore the Co-Pilot or Discovery in the future, maybe at the end of this year or so.

I would rate Automation Anywhere an eight out of ten.

My main use case for Automation Anywhere is IT automation, specifically IT operation automation.

Agentic Process Automation helps me achieve these goals. The AI Studio helps us create agents quickly. Once I identify a problem, I can create a workflow around it. This may take many days, but this solution helps us quickly build agents, deploy them, and test them with synthetic data, and sometimes with real data as well, which helps us fix problems faster than before in the AI world.

The experience with the AI Agent Studio and its integration feature is important. If the agents are not able to connect to various systems, they will not be able to function efficiently. All you get from other solutions is chat and suggestions on what needs to be done. With Agentic capability, you can actually do those things. It has memory, it has access to tools, and it can do the job on our behalf as opposed to just telling us what to do. Getting things done versus telling us what to do is the difference.

To improve Automation Anywhere, I think we need more integrations with more external tools. Continued support with better, more capable models, more optimal token usage, and reduced hallucinations are some things I want to see.

I have been using Automation Anywhere for a couple of years, three to four years.

I did not notice any significant downtime or crashes. Most of these processes are internal to us, so even with some minimal downtime, it is somewhat acceptable.

We do have a point of contact regarding the Automation Anywhere Center of Excellence. There is a person who has been designated to work with us.

Before adopting Automation Anywhere, I did not consider many other solutions because we were already working with them for years.

My experience with deployment was smooth.

My experience with the pricing, setup cost, and licensing is mixed. It is somewhere in between, not the most cost-efficient but also not the highest cost, so it can be better.

We have started exploring Document Automation. We have some in-house solutions as well for Document Automation, and we are exploring whether to use our own homegrown solutions versus Automation Anywhere for this use case.

I can give you an example where similar things like laptop procurement and provisioning come into play. Identifying where things are stuck, understanding the biggest bottlenecks in our overall business process related to IT procurement, and figuring out how to resolve tickets faster are important objectives.

The main challenge I was looking to solve with Agentic Process Automation is discoverability. We did not know where our bottlenecks were, and out of a ten-step process, which steps were taking more time was not entirely clear to us. First, it helped us see the cycle times across each of these steps and understand who all the stakeholders involved in those steps were. Eventually, this also showed us where AI can help. For example, if you need to procure a laptop, then what are the steps involved and how does AI help in connecting those stakeholders to procure the laptop faster. Those are the areas where Agentic AI helped us connect various systems and people, see where our bottlenecks are, and also prepare ourselves ahead of time so that employees do not have to wait long.

In the age of Agentic AI, I think the biggest challenges my organization faces include auditability, explainability, and observability. These are important because sometimes these agents become a black box to us. If something is a black box, we may not know why it did something or what it did. So it is important for us to know what is happening, why it is happening the way it is happening, and how to fix it. Another challenge we often face is what will happen in situations where the underlying model changes. For example, if the underlying model changes from GPT-5.5 to GPT-5.6, then the output and functioning of these models and these Agentic AI capability systems changes. We need to ensure that when the underlying large language model changes, the system's outputs and outcomes are not degraded.

AI governance is very important in my organization, especially in healthcare, where governance and compliance are the most critical aspects. Anything and everything we do has to be very secure, and we must be HIPAA and HITRUST compliant all the time. Any solution we use also has to be very secure, and that is where all these non-functional requirements like observability, explainability, auditability, and repeatability come into play. These aspects are very important.

The AI governance feature in maintaining compliance and data integrity within the organization is very helpful and plays a big role.

I do not use the Autopilot capabilities of Automation Anywhere.

I stay with them because of trust and a long-term partnership. As somebody said, it is like salsa. They know how we work, we know how they work, and we have already built mutual trust and relationships. This helps in achieving faster outcomes and quicker time to market.

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

My primary use case is focused on automating financial processes—specifically accounts payable (AP) and accounts receivable (AR)—through document automation. We receive a large volume of emails and invoices daily, and my goal is to leverage Automation Anywhere’s intelligent document processing capabilities to streamline the extraction, validation, and processing of this information.

Our environment includes a Windows-based infrastructure with Automation Anywhere integrated into email systems (e.g., Outlook), ERP platforms like SAP or Oracle, and document storage systems. I’m particularly excited to implement IQ Bot and Document Automation to intelligently capture and extract data from structured and semi-structured documents like invoices, remittance advices, and payment confirmations.

We plan to orchestrate these bots using the Control Room for scheduling, monitoring, and exception handling, aiming to reduce manual workload, improve accuracy, and shorten processing cycles in both AP and AR functions.

Automation Anywhere has significantly improved our organization by automating repetitive, manual tasks that previously consumed valuable employee time. Specifically, in our accounts payable and accounts receivable processes, it has streamlined invoice and email processing, reducing errors and accelerating turnaround times.

With Automation Anywhere, we’ve gained:

• Increased efficiency: Bots handle high-volume, rule-based tasks quickly and accurately, freeing our staff to focus on higher-value activities.

• Improved accuracy: Automation minimizes human errors in data entry and validation, enhancing overall data quality.

• Better visibility and control: The Control Room dashboards provide real-time monitoring of bot performance, enabling proactive management and faster issue resolution.

• Scalability: The platform has allowed us to scale automation across multiple departments smoothly without a proportional increase in headcount or operational costs.

Overall, Automation Anywhere has helped us optimize workflows, improve process reliability, and increase operational agility—making a tangible impact on our productivity and service delivery.

One of the most valuable aspects of Automation Anywhere is its intuitive user interface, especially across the main dashboards and the Control Room. From a non-technical user’s perspective, the platform is user-friendly—scheduling, managing, and monitoring bots is simple and does not require deep technical expertise. It’s easy to navigate and provides clear visibility into the bot lifecycle.

Another standout feature is the dashboard and reporting capabilities. I rely on the run reports and visual dashboards to track how many automations have completed successfully versus those that failed. This helps us quickly identify any issues and maintain high operational efficiency. We also find the bot runner utilization insights very helpful—it shows us which runners are used the most and helps us plan better resource allocation.

Additionally, we’re currently preparing to implement APIs into our automation strategy. We’ve seen the demos and are optimistic about integrating API-based automation to expand our use cases and streamline more complex processes. We’re in touch with an Automation Anywhere manager, and our team is coordinating a discussion in the coming weeks to finalize the approach. This will open up more scalable and dynamic automation opportunities for our company.

At this point, I don't see any major limitations in Automation Anywhere. The platform already offers a comprehensive set of tools, including support for third-party integrations like Python, and it meets most of our automation needs out of the box. We’ve found little need to rely on external platforms, which speaks to the solution’s maturity.

However, as we begin testing API integrations, we may uncover opportunities for further enhancement—such as improving how the platform handles complex data exchange or error management in external systems. These insights will help shape our understanding of what additional capabilities might be valuable in future updates.

To bring Automation Anywhere closer to a “perfect ten,” here are a few areas where I’d like to see continued progress:

• Enhanced AI/ML Capabilities: Deeper integration of AI and machine learning for more intelligent decision-making during workflows would be a big step forward. For example, predictive analytics or adaptive learning models that improve over time could make automations more resilient and proactive.

• Advanced Document Intelligence: While IQ Bot is powerful, continued improvements in handling unstructured or variable-format documents—like handwritten notes, multi-language invoices, or scanned PDFs—would be highly beneficial for use cases like AP/AR.

• Citizen Developer Support: Expanding low-code/no-code capabilities would empower more business users to build and deploy bots without needing deep technical expertise. Features like guided workflows, reusable components, or natural language automation design would make automation more accessible across the organization.

• Real-Time Collaboration and Versioning: Collaborative bot development, version control, and built-in rollback features would enhance team productivity, especially in large-scale automation environments with multiple developers.

If Automation Anywhere continues evolving in these areas and maintains a stable rollout of new features that work as expected, I’d have no hesitation in rating it a 9 or even a 10 out of 10.

I started using Automation Anywhere in 2018, so it's been almost seven to eight years. Over this time, I've worked extensively with the platform across a variety of use cases, especially in finance and operational automation.

In my experience, Automation Anywhere is a stable and reliable automation platform. The bots consistently perform their tasks as designed, with minimal downtime or unexpected failures. The Control Room provides robust monitoring and alerting capabilities, which help us quickly identify and resolve any issues that do arise.

The platform’s architecture supports fault tolerance and recovery features, ensuring that processes can resume smoothly after interruptions. Additionally, regular updates and patches from Automation Anywhere help maintain system security and performance.

While no system is completely immune to occasional glitches, Automation Anywhere’s overall stability has allowed us to maintain high uptime and deliver consistent automation results, which is critical for mission-critical processes like accounts payable and receivable.

From my experience, Automation Anywhere is a highly scalable solution that supports growth in both the volume and complexity of automation initiatives. The platform’s architecture allows us to start with a handful of bots and easily scale up to dozens or even hundreds of bot runners as our automation needs expand.

Key factors that support scalability include:

• Control Room Management: Centralized control enables efficient scheduling, monitoring, and management of large bot fleets, which is critical as automation scales across multiple departments.

• Flexible Bot Runners: We can add or reallocate attended and unattended bot runners depending on demand, ensuring resources are optimized without disruption.

• Robust API Support: The ability to integrate with various enterprise systems and external applications through APIs allows for expanding automation use cases seamlessly.

• Cloud and On-Premises Options: Automation Anywhere supports both deployment models, which can be tailored to the organization’s growth strategy and infrastructure preferences.

Overall, the platform’s design and features provide confidence that Automation Anywhere can handle increasing workloads and evolving automation complexities while maintaining performance and governance.

Our experience with Automation Anywhere’s customer service and support has generally been positive. The support team is responsive and knowledgeable, providing timely assistance when we encounter technical challenges or need guidance on best practices.

We appreciate the availability of various support channels, including online resources, documentation, and community forums, which help us troubleshoot issues independently as well. In addition, the training sessions and webinars offered have been valuable in enhancing our team’s skills.

There have been occasional delays during peak periods, but overall, the support experience has been reliable and contributes to the smooth operation of our automation initiatives.

Before adopting Automation Anywhere, we explored a few other RPA and automation tools; however, we didn’t fully implement them across our operations. Our decision to standardize on Automation Anywhere was driven by its user-friendly interface, scalability, and comprehensive feature set that aligns well with our business needs.

Automation Anywhere stood out due to its intuitive Control Room, support for unattended and attended automation, and the ability to scale across different departments. It also offered strong document automation capabilities—especially important for our accounts payable and receivable workflows—and integrated easily with our existing systems.

The transition to Automation Anywhere has allowed us to centralize our automation efforts, gain better visibility through dashboards, and reduce dependency on manual work and disconnected tools. Overall, it gave us the reliability and flexibility we were looking for in an enterprise-grade RPA solution.

The deployment is very easy. We just need to export the bots and deploy those bots into production. It's very easy with import, export buttons. It's like five minutes. It's very easy to export into Android environments from dev to test and test to prod. It's very easy to move.

The deployment process with Automation Anywhere has been very straightforward and user-friendly. Moving bots from development to testing and then to production is seamless thanks to the easy-to-use import/export functionality.

Exporting bots and deploying them into different environments takes just a few minutes, making the transition smooth and efficient. This simplicity reduces deployment time significantly and minimizes the risk of errors during migration. Overall, the process of promoting bots across environments—from dev to test and then test to production—is very easy to manage.

While exact ROI figures can vary depending on the specific processes automated and the scale of deployment, our experience with Automation Anywhere has demonstrated clear and measurable benefits:

• Time Savings: Automating repetitive tasks in accounts payable and receivable has significantly reduced manual processing time, freeing employees to focus on more strategic activities.

• Cost Reduction: By minimizing manual errors and reducing the need for overtime or temporary staffing, we have lowered operational costs.

• Increased Throughput: Automation has enabled us to handle higher volumes of transactions without proportional increases in headcount.

• Improved Accuracy: Enhanced data accuracy reduces costly errors and rework, contributing to financial savings.

• Faster Cycle Times: Automation has shortened invoice processing and payment cycles, improving vendor relationships and cash flow management.

Though we don’t have precise dollar amounts publicly available, these operational improvements collectively translate into a strong ROI and justify the investment in Automation Anywhere.

In our organization, we currently operate with ten bot runners and utilize most of them regularly. This makes the pricing feel reasonable relative to the value we receive from increased efficiency and reduced manual effort.

For others considering Automation Anywhere, here are some key tips regarding cost and licensing:

• Assess Your Needs Carefully: Before purchasing, evaluate the volume and complexity of processes you plan to automate. This will help you determine the right number and type of bot runners (attended vs. unattended) you require, preventing over- or under-licensing.

• Plan for Scalability: Consider your future automation roadmap. Licensing can often be scaled as you grow, but having a clear growth plan helps in negotiating flexible terms with the vendor.

• Negotiate Licensing Terms: Engage with Automation Anywhere’s sales and support teams to explore flexible pricing models, including enterprise agreements or bundled offers that may reduce overall costs.

• Include Add-On Costs: Don’t overlook potential extra costs for features like IQ Bot, API access, or advanced analytics. Factor these into your budget early.

• Monitor Usage and Optimize: Use the Control Room dashboards to monitor bot utilization regularly. If some bots or runners are underutilized, reallocate or optimize them to maximize ROI.

• Leverage Vendor Support: Utilize vendor support and training resources to speed up deployment and avoid costly trial-and-error phases.

By taking these steps, organizations can better manage their automation costs and ensure a strong return on investment as they scale their RPA initiatives.

Yes, during the selection process, we evaluated other leading RPA platforms, including UiPath. Both tools have strong capabilities, but after thorough analysis, we chose Automation Anywhere for several key reasons:

• Ease of Use: Automation Anywhere’s user interface and Control Room dashboard felt more intuitive and accessible for both technical and non-technical users in our team, making adoption smoother.

• Scalability: We believed Automation Anywhere offered better scalability options for our planned enterprise-wide deployments, including better management of unattended bots.

• Document Automation: The intelligent document processing features, such as IQ Bot, were more mature and aligned with our heavy focus on accounts payable and accounts receivable automation.

• Integration Flexibility: Automation Anywhere provided easier integration with our existing systems like SAP and email platforms, reducing the complexity of our automation workflows.

• Support and Community: We also appreciated the strong support framework and active user community that Automation Anywhere offers, which gave us confidence in ongoing assistance and knowledge sharing.

Overall, Automation Anywhere matched our business goals and technical needs better, which is why we decided to move forward with it.

While I have not yet explored AI-driven agentic process automation in depth, I recently completed API training within Automation Anywhere and am excited to start leveraging these new capabilities. My main goal is to stay informed about the latest features introduced at events and to gradually implement them in our automation workflows. I believe Automation Anywhere is well-positioned to address emerging AI and Generative AI challenges.

Although we haven’t yet deployed AI-driven bots, we recognize the potential improvements AI can bring to automation performance and intelligence. I’m eager to learn more about how these tools function and plan to deepen my understanding as we explore API-based process automations.

Regarding document automation, we experimented with Automation Anywhere’s solution about two years ago. At that time, the accuracy was around 70-80%, which was not sufficient for our needs, so we opted to use third-party tools instead. However, document automation does save significant time, and we’re now motivated to revisit Automation Anywhere’s document automation capabilities, hoping for improved accuracy and better results with the latest versions.

Overall, I would rate Automation Anywhere an 9 out of 10, acknowledging its strong capabilities while recognizing there is room for growth, especially in AI and document processing.

The main use cases include the payment extinction process, which we have automated. It is a basic, very critical servicing process, which needs to run on stringent SLAs. We automated that before and during COVID, which brought a lot of value with less human intervention and support during the peak time. It was able to process almost all the payment extinctions effectively and efficiently, providing significant value to our servicing operations team. 

Another use case involves customer service, where the call center agents uses these bots as co-pilots, gathering real-time information from multiple subsystems, aggregating the information, and presenting it to the agent. This greatly improved the customer experience during real-time interactions. 

Those are a couple of critical use cases we have automated.

We recognized the importance of RPA automation and transitioned to Automation Anywhere, onboarding and automating over 100 processes in a short period.

Automation Anywhere has all the integrated advanced features within the platform, including basic RPA-based automation, task bots, document automation, AARI co-pilot, and now the agentic AI studio. All these come as a package allowing us to handle any kind of use case using the Automation Anywhere platform, which is what we appreciate most. Instead of using different tools to automate various test cases, we are using Automation Anywhere as a platform to automate entire end-to-end processes.

We have used document processing from the beginning. We have a few use cases running in production, processing thousands of documents. With the success rate of more than 80%, it's efficiently extracting data for us. 

The time saved with document processing has been impressive. Each document can take 10 to 15 minutes to process manually. With Automation Anywhere, we can process 40,000 in a given month.

It's a low-code platform where we deliver automations faster. Now it is coming up with all the AI features like agent AI and today has announced process engine, which are all coming part of the Automation Anywhere platform. It's great news. 

One key feature we are looking for from Automation Anywhere is the need for a fully evolved CI/CD pipeline approach within our IT organization, given that we manage multiple applications. 

We want to bring Automation Anywhere into those application stacks, ensuring easy integration from a DevOps or DevSecOps perspective. That's a recommendation I have for Automation Anywhere.

We have been using Automation Anywhere for almost five and a half years now, and we have automated 100-plus business processes that are deployed and running autonomously in the backend.

The stability and reliability of the automation bots are quite good, especially for those running in production. However, changes in end-application UIs can affect them. With the introduction of automator AI and generative recorder capabilities, they have been able to self-heal and run seamlessly in production.

The scaling potential of Automation Anywhere runs parallel to our company's growth and technology stack. It adds all the necessary AI features at the right time, allowing for a smooth experience as we expand usage.

We have great support from Automation Anywhere. Whenever we create support cases, they respond within the given timeframe, and we haven't encountered major issues so far.

Before adopting Automation Anywhere, we were using a vendor-based solution with a Cogs product that the vendor managed in their environment. We recognized the importance of RPA automation, which led us to explore building bots on-prem within our data center using our own platform.

The setup process is pretty seamless. Recently, we have introduced the API capability, the code migration utility, which we are using to deploy the bots from one environment to another. It is helping a lot.

We realized a return on investment with Automation Anywhere, especially during the COVID surge in volume within the payment process. Since we automated that process, we managed to handle the surge effectively, granting immense value to our servicing operations.

We've saved almost 2,000 manual hours a month.

The pricing is competitive right now. I'm not directly involved in the pricing discussions, however. 

Before selecting Automation Anywhere, our parent company was already using it and had evaluated it, allowing us to adopt Automation Anywhere.

We are not using the Agentic process automation yet. We're in the exploration phase and exploring tools and requirements. We may be starting the process soon.

The real benefit we are looking at from utilizing the automator AI, which we are not working with yet (but plan to) is the ability to quickly deliver the process workflows need where AI is involved, eliminating the need to integrate multiple tools and requiring various skills and programmatic knowledge.

For organizations looking to purchase Automation Anywhere, I would recommend it for automating task bots or processes requiring AI, as the platform features all flavors of automation. It covers everything from process discovery to automation deployment with integrated AI capabilities, which is a significant advantage. 

I rate Automation Anywhere nine out of ten.

I use Automation Anywhere particularly for ITSM processes in the manufacturing sectors as an agent.

I use Automation Anywhere for defining processes for customer solutions, specifically to communicate the service aspects of a specific product.

In one of my recent projects, I was defining an ITSM flow and when I used Automation Anywhere, it gave me very perfect results and I was able to complete and create all the processes using it.

For one of the products, I designed an SLA and service reliability solution through Automation Anywhere. Based on that, I defined some packages to the customer.

In another scenario, I wanted to build a specific prompt using Automation Anywhere integrated with Amazon services for my system. It was able to understand my expectations and what I was teaching it to deliver. After two or three days, it was able to deliver what I expected. From the next time onwards, it was able to deliver what I expected. When I give a little bit of context, it was able to deliver what I expect without requiring a specific prompt each time.

The AI Agent of Automation Anywhere is very powerful and very good.

Its response is good. I have used a couple of AI agents, and this one is good with accurate, reliable, and faster responses.

I use the AI agent of Automation Anywhere for my work, though some of my teammates are using it for other purposes.

Consistency in Automation Anywhere is beneficial when I consistently work on a specific area. It is able to understand the context, and from the next time onwards, it is able to deliver what I expect.

In terms of speed in Automation Anywhere, I feel it is taking a slightly longer time. That could be improved.

I have been using Automation Anywhere for more than two years.

Both reliability and stability of Automation Anywhere are very good.

Automation Anywhere is scalable and should be good. I do not have much experience with the scalability of Automation Anywhere because I use it for my work, so I have not thought about scaling it.

I do not have any suggestions for improving Automation Anywhere. It is good.

Controls are very good in Automation Anywhere. It is easy to access and rightly placed. I have noticed in some systems that it is very difficult to identify features and navigating to a particular property is slightly difficult, but here it is very good. Everything is perfectly placed.

I have used ChatGPT, but after getting Automation Anywhere, I started to use that instead.

I do not know about the pricing of Automation Anywhere because that is entirely taken care of by the procurement team. I simply use it.

I do not have much of options because Automation Anywhere was provided by my company. I have to use the product.

I have not used Automation Anywhere's deterministic and agentic blended execution feature.

On a scale of one to ten, I would rate the flexibility of Automation Anywhere's truly universal orchestration in integrating with different systems and models as an eight.

In terms of orchestrations, its result is good, reliable, and it is faster. It gives me exactly what I expect.

In terms of process definition with Automation Anywhere, it gives accurate answers. When I give a prompt, it gives an accurate answer.

Out of ten, I would rate the quality of these aspects of Automation Anywhere as nine.

Based on the maturity of the reply, I can understand how reliable the system is. I do not have to repeatedly provide prompts with Automation Anywhere. When I continue a discussion, it should be able to get into the context immediately, and that is how I see it is highly reliable and it is giving a good answer based on the previous conversation as well.

I have used documentation of Automation Anywhere. In the beginning, I started to use it. Now I am used to it, so I do not use much of the documentation.

Documentation of Automation Anywhere is clear. I am able to search through the context I am looking at. The documentation is good.

The reliability of controls to prevent infinite loops and retries in Automation Anywhere's deployment is very good. I would rate it eight on that.

It is good. I feel the data advantage is good.

I have used the data advantage many times.

I do not think either my client or my company is thinking about building a similar Automation Anywhere tool. There is no talk on that.

I would rate this review nine out of ten.

We have several use cases for Automation Anywhere. We have several processes developed for HR, finance, and our automotive business, so we found use cases for everyone. Finance would be the major focus right now. We have this GPS center where we are trying to build many automations because we are dealing with cash allocations and processing invoices.

The main challenge I was looking to solve with a GenAI process automation was finding the GenAI solutions that were presented, and it has a combination that allows integration with the GenAI process automation with test bots. I found it very useful to have a centralized place where everyone can go. Instead of opening multiple applications, we have someone just opening a single app, making the prompt, and all the work starts to be done there. We have many opportunities, especially in accounts payable.

Currently, we are using Document Automation with Automation Anywhere. We are still not using AARI, which is something we are working on. I just started using it, but we are already using Doc Automation. We have processes using GenAI to extract information from unstructured documents. We have been having huge results in a short amount of time, which is incredible. Document Automation has had a significant impact on efficiency and productivity for us. The project I was mentioning was completed in two weeks. Our DSO was being impacted because of the backlog. In a short amount of time, we were able to reduce it by 38%, which was incredible.

What I appreciate most about Automation Anywhere is the cloud version. It was a huge change and it's very friendly, very easy to use, even for citizen developers. We have a group of citizen developers and I find it very easy to teach and use. These features are actually now in the front of the line and releasing these features. Last year when AARI was announced for the first time, and now, what we are seeing, putting everything together, seeing everything together, it's a huge change.

Automation Anywhere has helped us deal with these challenges. In Doc Automation, we have this project where we had a huge backlog. As we were closing our fiscal year, we had this huge backlog that we needed to clean up. The business was preparing to hire 12 people to do that, and even though they were not sure they could handle it, we built the process to extract and do the entire process just in two weeks. We were able with a single person to clean the entire backlog, which gave us huge benefits.

In the age of GenAI, the biggest challenges for my company include changing the entire mindset. Users need to trust the solution and what is being asked of us is that we need to be able to show the value it is bringing. It's not just a matter of trusting the technology, we need to be able to show exactly what we are going to achieve by using this technology. 

For that, we need to have a proper framework that tracks all the benefits we are extracting from automations and shows them that this will actually take us to the next level. We are working with Automation Anywhere's value engineering team, and they are helping us build this framework, so we can show our leadership that this is the right move for starting to adopt this technology.

Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents. This all deals with information we are receiving and acting upon. The next step would be more predictive, having predictive analysis and being more proactive in the way we are taking our actions. Instead of having an agent trying to look at where the best price is when I receive a request to buy something, we could have an agent that could use historical information to predict the best time to buy that product. In that way, we could have some predictability and start anticipating the right time to take actions for profit and lower cost reduction.

I've been using the solution since 2019.

We were using another solution before choosing Automation Anywhere. It was not actually an RPA per se; it was more a ticketing tool that allowed building some automations. The company had previously tried UiPath but found some issues in managing and supporting the tool. They chose Automation Anywhere, which was a perfect fit in the environment we were building internally. For citizen developers, the learning curve is much faster compared to other tools.

We could have a better integration. We have our development environment, and then we need to export that and then import it to the client. So this is a manual process. We would like to have a more automated process, integrated process, where we could have a pipeline where we could, from the production environment, push the version that we want to deploy to production. 

In terms of version control, there are some improvements that can be done there. It would be nice to have more actions and more tools that allow us to have a better release control and showing all the features that were launched on it. 

Having AI right now, it would be nice if we could also automate part of the documentation process. That's something that is possible. Nowadays, we can send a quote to AI and just ask it to explain this or build me a document explaining this code. There is some work that can be done there that can improve the deployment that we are doing through production to ensure that we have everything documented, and have all the version control in place. 

Regarding pricing, setup costs, and licensing, we don't have the license for the enterprise that allows us to build the agents. This is something we need to work on. The first version would double our cost. 

We need to work with our business, which is why I'm working with the value engineering team. To get that type of cost approved, we need to be able to show all the benefits we are seeing from our automation. Automation Anywhere could try to come up with a better solution for having this framework that's easy to implement and maybe integrate into their own products so we can easily extract all the values from the automations. We need to be able to show data at four different levels because every level of leadership wants to see the data differently as they have different goals.

Regarding API, we are not using it currently with Automation Anywhere as we don't have a license yet, so it's still a work in progress. We found many opportunities and just need to work with the business, build a POC, and then work on having access to it.

AI governance is very important in our company. We need to take care about securing our own information as we are a private company, so there are many aspects we need to address. We have an AI council in our company that ensures we are using the proper tools and have contracts signed to ensure data privacy and security.

We received a presentation of the COE Manager. We found it was not filling all the gaps we were looking for, so we are not using it currently. We have another solution. We have been using the information we are extracting from our automations and bot metrics. We are extracting that into a simple database and crossing it with control room APIs to get information about our executions. We built this lake house with a model that automatically extracts this information and builds our Power BI reports.

I'd rate the solution eight out of ten.

Its main use cases that we have implemented are across the firm for different business groups, including finance and accounting, HR, talent acquisition, risk management, and independence. 

Being an early adopter of Automation Anywhere puts us ahead in the transformation game. We have seen Automation Anywhere collaborating directly with us to solve complex problems that aren't easy to address out of the box, creating a significant impact.

Some of the key features of Automation Anywhere include the simplicity that enables developers to build bots very quickly in a standard delivery fashion. We have a framework developed that enables consistency irrespective of the person developing it, and our gated delivery model helps us meet those milestones and standards consistently. This helps, along with the great features that Automation Anywhere provides for self-review of code, making the development of bots easier and faster when it adheres to a particular pattern. Additionally, it gives us robust means to track metrics once the Automations are deployed into production so that we have a good handle on errors, receive feedback, remediate, and keep the bots and workflows running in production for our business.

We are part of a big transformation program within our firm, and what we have understood over the past several years is that our technology needs to evolve as the needs of the business do. The RPA aspect of Automation Anywhere's platform can only take us so far. Agentic is a game-changer due to the AI disruption that's happening, and Automation Anywhere has been at the forefront of incorporating the best of AI into the product.

Agentic AI can be used today out of the box with minimal configuration, and it now solves end-to-end processes compared to the standalone jobs that RPA could do previously. Consequently, we have faster, better solutions that we can deliver to our businesses. In the age of agentic AI, there are two key challenges we face. One is on the delivery side within our CoE, where there is a bit of a learning curve for upskilling our development team so they understand what this technology has to offer and how to best use it. Once they are aware, Automation Anywhere provides great resources, including a strong curriculum to help developers get upskilled.

The CoE plays a very critical role, as we want to establish a factory-like model that follows best practices and processes. The bots developed by the team provide consistent value and a very good business user experience. The CoE matures over time; it's not set up in a day, as we are constantly learning and evolving to meet challenges like introducing newer integrations or adapting to a changing organizational landscape.

One key feature for improvement I have been providing feedback on through the MVP program is enhancing natural language conversation to action. The Automation Anywhere product team is actively putting this feature into their roadmap, which I believe is crucial. Features such as UI agents and Orchestrator APIs will help alleviate the current bottlenecks we face. We foresee a future where deterministic rules don't need to be defined; rather, a process-specific skill should be laid out generally. I think the product team aligns with this vision, and these areas should be highlighted for the team to focus on, delivering features that drive tremendous value.

We have been using Automation Anywhere for more than five years now at the firm, and we continue to expand our implementation across various business groups.

Regarding stability, Automation Anywhere meets our expectations, as we haven't experienced any product-specific issues over the past several years. 

While some issues may arise on the network side, they are not specifically related to Automation Anywhere's platform. 

I haven't encountered any significant bugs on the product platform that led to production ecosystem failures. Therefore, from a stability and reliability perspective, we can remain confident that the product performs as an enterprise solution and meets expected standards.

From a scaling standpoint, we challenge ourselves with higher goals driving more impact while continuing at a rapid pace on our transformation journey fueled by agentic AI. 

We are confident in the product's capabilities and features, and the key lies in how we ramp up effectively. With a robust presence from our intake team driving demand, all we need to do is embrace it and start scaling, especially with the newly unlocked agentic use cases that come with additional features.

We have our footprint across the whole firm with approximately 250-plus Automations deployed in production as of today, and the program continues to build further.

Automation Anywhere's support has been outstanding, as we have a dedicated Technical Account Manager and Customer Success Manager who we engage with weekly. 

They are always available to address pressing needs and questions, and we haven't faced challenges in this area. This strong collaboration and regular communication allow us to make quick decisions, solve problems rapidly, and keep advancing. 

From a support standpoint, the strong ticket mechanism we can implement gives us the ability to raise severity, and even when we do so, we maintain direct contact with Automation Anywhere, receiving expedited assistance, which is invaluable for our collaboration.

We have evaluated several competitors in the market. Automation Anywhere stands out due to the value, feature set, and price point, which aligns with our firm's legal and compliance reasons for our decision. 

Automation Anywhere consistently ranks at the top, matching our vision and strategy for implementing transformative solutions. Although there are various platforms available, such as the Microsoft ecosystem focused on personal productivity, we often have to engage in hybrid implementations using different tools for end-to-end solutions. However, Automation Anywhere remains our chosen platform.

We have an on-prem primary setup, however, we also have cloud-based integrations for some of their advanced features, like document automation. We are currently in the process of going full cloud via migration. That's on our roadmap. And once we get there, since we know the strategy and vision with agentic, we want to prioritize as a firm to get to that model quickly and then just have one pattern to support.

In the past five years, we have deployed hundreds of bots, with our numbers continuing to grow by 100%. 

We are effectively doubling the bots deployed to production each year, and the savings are easily in the range of 150 to 200,000 hours annually, which we give back to our businesses for more meaningful work. 

However, the impact extends beyond just those numbers, as we are not only saving time for our resources on repetitive tasks, we are also considering indirect savings and accuracy improvements. Therefore, the return on investment is quite high based on what we have observed.

The pricing is fair given the current advancements in AI, which involve a substantial amount of research.

On a scale of one to ten, this solution rates a nine.

I would highly recommend checking out their product website to explore the features and the commitment they have to the agentic enhancements. 

Automation Anywhere isn't just a product or platform vendor; it embodies a whole community. They offer excellent engagement resources, including programs such as MVP and Pathfinder, along with numerous initiatives for learning.

I use it for a variety of shared service applications. It helps manage the volume of processing and handle many incoming ticket requests. I also utilize it for invoice processing, aiding AR collections, and some reporting. There is quite a variety of applications for Automation Anywhere.

I like the web-based development and the control room interface, which is robust and works well. Importantly, I experience fewer errors with finding screen elements to interact with when compared to other automation software. 

Automation Anywhere presents fewer maintenance issues. 

The built-in features, such as the connector builder and AI development tools, are easily accessible, keeping the software up-to-date. 

Before joining, I observed it to be a robust program with immediate visible benefits. I had fifty bots running, effectively demonstrating their workload. The hard parts, like recognizing ROI, building a backlog, and setting up internal infrastructure and governance, were already completed. Having done this elsewhere, I appreciate these accomplishments.

There are a lot of good built-in features like the connector builder. The AI aspects are very good. The software is keeping up with the times and I appreciate the new features they add.

It's easy for new users with no experience. You can learn quickly. You can also use pre-built packages that allow you to build a bot without much experience. There's Automation Anywhere University to assist as well. All of the tools are there to build a very robust robot. There is a learning curve within development. However, if you already have basic programming skills or a basic understanding of how computer science works, then it's fairly easy to build the bots that you need and can incorporate advanced logic, looping, variables, and things like that. If you understand those concepts, then it's not hard at all.

We have integrated other tools or applications with Automation Anywhere. That's one of the things that RPA is really good at. I couldn't say I've integrated other applications with Automation Anywhere so much as Automation Anywhere with other applications. We're using a lot of external vendors and automating processes for those external vendors that were problematic since they didn't integrate well with others.

The main request I have for Automation Anywhere is to focus more on technical demonstrations. They do extensive marketing and explanations of new technologies, which are great - however, often less technically focused. Common use cases are frequently repeated, such as loan processing and order fulfillment. I would like to see better and more technical use cases for the AI features, showing how to build them instead of repeated general examples.

I have used the solution for one year.

It is rock solid. Stability is great. I have never had any concerns about downtime or other issues.

The software is very capable. I am small compared to others, however, as a higher education institution, I'm probably one of the largest as a whole. The software can scale as far as I need, with no limit other than the investment of money, development time, and effort.

Initially, it took me some time to reach the right team for help, however, the support was knowledgeable and resolved the problem fairly quickly. Although it took a little over a week due to the tricky nature of the issue, I am generally satisfied with the support and have no significant concerns.

Neutral

I have used UiPath previously. I like Automation Anywhere better.

The initial setup was easy. It took me about a week or two to understand how to use it, and that's being generous. The concepts are straightforward and it's very similar to UiPath, beyond a few differences.

We haven't needed to update to a new version. The major update from on-prem to cloud was done before I came. 

The more minor upgrades were painful, yet not at all due to Automation Anywhere. ERP updates and things like that required us to test every bot. None of that was a fault or a problem with our Automation Anywhere. The rest was relatively smooth and straightforward, and the control room updates were relatively smooth and straightforward. This last update, we had a little bit of a hiccup. However, working through support, we got a workaround until the fix can get into place.

There is some maintenance needed on the bots. That's not the software's fault. The maintenance effort is quite low compared to what I was used to. 

Pricing is fine. Renegotiating our contract was challenging, however, I have a new salesperson, and I am excited about working with him.

I'm an Automation Anywhere customer. 

I have spent the last year getting a handle on Automation Anywhere, bringing five years of experience with its main competitor, UiPath. The opportunities for AI are boundless, and I am working heavily with the hospital to identify use cases. I am incorporating AI in invoice processing to extract data correctly and for image preprocessing. 

Benefits form transactions, like enrollment forms for healthcare and dependent change forms, are the next focus. 

I have yet to use Copilot, although I do have a use case that I'm hoping to build out.

In terms of seeing the benefits to Automation Anywhere, this particular job had already been using it for five years before I came. So the benefit had already been realized, and it was already a fairly robust program. I could see the benefit the first day I started. We already had 50 bots running, and it was very easy to see all of the work that they were doing. The hard part had already been completed in terms of recognizing ROI and building out a backlog of work, and having the infrastructure and the governance internally set up was already huge. I've done all those things before in other employers, and that takes significant time, a couple of years, to do it properly. Since that was already done, I could just hit the ground running, and we could just build more bots and make the bots that we had more robust.

I rate the product eight out of ten.

I have worked on automation for several clients and organizations. In my previous organization, we automated several business processes related to governance.

Here, we are performing data reconciliations, including financial data, procurement data, and asset-related data. To achieve this, we fetch data from systems like SAP and custom applications. Instead of manually navigating multiple screens in SAP, we use the RPA Automation tool to handle these activities. We are essentially automating these processes.

We are exploring an automated system that can help our production support system resolve tickets more efficiently. We have the data of or the history of multiple incidents raised in the past two or three years. We would like to utilize this data to resolve new tickets and provide the steps for resolution. When a ticket is there, the automated system can identify the solutions and automatically implement those suggestions to fix the ticket. We have not implemented it yet. At the moment, we do not have any use cases for Generative AI, but we are looking into it.

Automation Anywhere has helped us with efficiency and accuracy. We cannot achieve the same level of efficiency and accuracy through manual tasks. There are also cost savings. Manually performed tasks are financially demanding.

Automation Anywhere is easy to learn. People who are not technical can also get started with this tool. They can explore and slowly adapt to the tool. They do not need too much expertise, but having technical expertise can be an advantage. Overall, Automation Anywhere is fairly good for non-technical people.

We have integrated SAP and web applications with Automation Anywhere. We have also automated using the APIs. Its integration is good and has improved over time. It is evolving and getting easier for us to integrate with external applications. We have had a lot of time savings. We have 40 to 50 bots.

The best aspect is the user interface. It is very user-friendly and snappy, responding quickly compared to other available tools. It is easy to learn, and the community support is good for asking questions and getting answers.

Training camps are provided by Automation Anywhere. I recently attended the document automation training camp. In 2025, we are going to attend the AI agent training camp. The community and the training around the tool have been beneficial.

In Automation Anywhere, the logging process is manual. We have to manually log each instance where the bot fails or the progress of a task. Automating this through a new feature would help developers simplify their development process. That is my suggestion.

About a year or two ago, debugging was challenging in Automation Anywhere. If you had multiple task bots with a parent task and a child task, there were issues during debugging. Automation Anywhere took the feedback and fixed it in the next releases.

I have been using Automation Anywhere for over five years.

Most of the time, I do not encounter problems with the control room. On a scale of one to ten, I would rate it a nine, but I have had issues with IQ Bot. I would rate IQ Bot's stability an eight out of ten due to some service instability. For example, it sometimes fails to communicate with RabbitMQ. Automation Anywhere's control room is very stable.

It is scalable. Scalability also depends on how we code or develop the bots. We have 45 different use cases, and most of them are multi-bot, so I do not see any issues with the scalability. I would rate it a nine out of ten for scalability.

I would rate it an eight out of ten. Most of the time, when I raise cases for help with the Automation Anywhere vendor, I receive good help at the right time. However, sometimes I receive automated responses, which are not helpful and cause delays.

Despite this, I generally get good support, so I can rate customer service an eight out of ten, but there is room for improvement.

I have used Blue Prism and Power Automate as well. In Blue Prism, logging is simple because it is automatic. Automation Anywhere is more snappy and faster in response. It also has inbuilt document automation, whereas Blue Prism does not have the inbuilt OCR capability. Overall, Automation Anywhere is a better solution than Blue Prism.

Power Automate is a very slow tool. If you have to open any flow, it takes a lot of time to load. This issue is not there in Automation Anywhere. It is more capable than Power Automate.

Currently, we have two control rooms. One is an on-prem control room, and the other one is a SaaS or cloud control room. We are using both. The SaaS option is evidently easier because we do not need to manage servers, issues, or restart services. We prefer SaaS for these reasons.

In terms of maintenance, the platform upgrade from one version to another version is not difficult. We started with version 21 of A360, and we are currently on version 35. Most of the updates in the SaaS environment are automatic and happen during the night hours. Most of the time, we have not seen any issues. They went smoothly, but sometimes, there were some terminations and other issues. If those issues are also taken care of, it will be very smooth. For the SaaS control room, there is not much maintenance. We are doing maintenance only in terms of the code. In terms of platform, we do not need any maintenance for the SaaS control room.

For the on-prem control room, there is a lot of maintenance. Sometimes, the services go down, or the communication between the application and database server has problems.

We have seven to eight developers and three to four production support resources. Building a bot is not an easy process. It is a lengthy process. The duration depends on the use case. It can take from one month to three to four months to develop one automation.

We have a separate platform team that helps us in terms of the platform issues. We have a development team, and we have a production support team. So everyone has their own responsibilities and roles.

We have about 45 use cases deployed in production.

I would definitely recommend Automation Anywhere. I have been using it for the last five years, and it is one of the leading RPA tools in the market.

Their community support is excellent. If we encounter challenges, we can rely on the community for help. There are ample training programs and an Automation Anywhere university to facilitate learning. The solution is reliable. I would rate Automation Anywhere a nine out of ten. Some features, such as automatic logging, could be improved. It has the potential to become the best tool.