Overview

Product video
Automation Anywhere platform features:
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The Process Reasoning Engine (PRE) is the AI brain behind the Agentic Process Automation (APA) System and agentic solutions, securely orchestrating AI agents, automations, and people to run complex, cross-functional business processes at scale. https://www.automationanywhere.com/products/process-reasoning-engine
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Mozart Orchestrator manages decisions, dependencies, context, and exceptions, enabling AI agents to plan, reason, and collaborate across bots, systems, data, and human touchpoints and delivers resiliency at enterprise scale. https://www.automationanywhere.com/products/mozart-orchestrator
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AI Agent Studio allows you to securely build powerful Agents capable of learn, make decisions and perform deep analysis. https://www.automationanywhere.com/products/ai-agent-studio
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Automation CoPilot transforms how your team works with an AI powered automation assistant that lives right inside your existing apps, now with advanced natural language capabilities from Amazon Q Business. https://www.automationanywhere.com/products/automation-co-pilot
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Automation Workspace is one stop shop for creating and managing agentic automations at high speed. https://www.automationanywhere.com/products/automation-workspace
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AI Automator builds and maintains enterprise automations, reduces maintenance costs, and speeds up every phase of the automation lifecycle with purpose built Agentic AI tools. https://www.automationanywhere.com/products/automator-ai
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Automation Cloud Service runs your automation workloads serverless on the Automation Anywhere AWS Cloud and get faster executions while spending less on automation infrastructure (drives consumption on Automation Anywhere tenants). https://www.automationanywhere.com/products/cloud-service
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CoE Manager, from discovery to ROI tracking, is the command center for governing, scaling, and optimizing automation across the enterprise. https://www.automationanywhere.com/products/coe-manager
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Intelligent Document Processing (IDP) reimagines your document heavy processes without limits, powered by the first in the industry Process Reasoning Engine (PRE) to instantly extract, validate, and route data from any document type. https://www.automationanywhere.com/products/document-automation
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Nonprofit discounted package includes 1 Control Room, 1 Bot Creator, 1 Unassisted Bot Runner and 1 Assisted Bot Runner. https://www.automationanywhere.com/company/global-impact
Highlights
- Digital Acceleration and Instant-On Ease Of Use - Cloud automation bypasses the legacy barriers (rigid delivery models, technical complexity, and unfriendly user experience) to automation adoption and application across the enterprise. Open any web browser, log in, and automate. Intuitive experience optimized for every user type.
- Lower Total Cost Of Ownership - One of the biggest benefits of automating with cloud Agentic Automation is the lower total cost of ownership (TCO). Move from a CAPEX to OPEX model and streamline ongoing maintenance activities. Cloud automation eliminates setup time, infrastructure, and maintenance costs while enabling organizations to realize the cost benefits of public cloud.
- Agentic Automation For Every Enterprise Process - Built-in AI skills with intelligent screen recording and drag-n-drop actions. Agentic Automation surfaces automation tools, including artificial intelligence and Generative AI technologies, to more of the business. Bedrock and SageMaker Integrations are now available and joint solution with Amazon Q and Automation Co-Pilot is generally available.
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Buyer guide

Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Automation 360 | Agentic Process Automation System Sample Solution | $126,000.00 |
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Customer reviews
Reliable Automation Platform for Large-Scale Business Processes
Automation has reduced financial processing time and now supports efficient insurance operations
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working with Automation Anywhere for almost eight plus years now, since 2017.
What do I think about the stability of the solution?
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.
What do I think about the scalability of the solution?
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.
How are customer service and support?
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.
Which solution did I use previously and why did I switch?
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.
How was the initial setup?
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.
What about the implementation team?
The implementation team consisted of more than 100 people.
What was our ROI?
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.
What other advice do I have?
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.
Agentic automation with contextual decisions and intuitive interface
Additionally, the interface is very intuitive and easy to use, it can integrate with practically almost everything, there are many native connectors.
Automation has saved time, reduced finance errors, and has improved audit-ready processing
What is our primary use case?
We have a bot called Marjorie that fetches all the requests in ServiceNow , distributes the request, reads the description, decides whether it's SAP or an Oracle request, downloads the attachments, and processes it for fixed assets. With Automation Anywhere , we were able to control and scale it up based on the demand, especially since quarterly, the requests are huge, resulting in saving two FTEs.
What is most valuable?
The best feature of Automation Anywhere is the IQ Bot option, which is excellent for document processing and can process almost all types of invoices with great accuracy.
We conducted a pilot for invoice processing with IQ Bot in the same finance team, and it performed exceptionally well, achieving strong accuracy compared to the earlier simple Microsoft OCR that we used.
Automation Anywhere has had a huge impact in my organization, especially in saving time and compliance-related process automation by reducing errors drastically and ensuring quick processing of requests with proper logs available for the audit team.
What needs improvement?
Compared to other RPA tools, the UI of Automation Anywhere is not that great and is not that easy to pick up for people, which takes more time for a newbie.
The UI needs to be more user-friendly, and similarly, debugging and logging should also be more friendly.
For how long have I used the solution?
In the current field, it has been about eight years.
What do I think about the stability of the solution?
Automation Anywhere is stable.
What do I think about the scalability of the solution?
The scalability is amazing with Automation Anywhere since we can scale it up based on demand, which is why we prefer it for finance-related use cases.
How are customer service and support?
The customer support team is excellent; if there is a technical issue we cannot solve, we create a ticket, and they help us very quickly.
Which solution did I use previously and why did I switch?
We have evaluated Blue Prism , UiPath, and Power Automate in the market before making our choice.
What was our ROI?
I cannot provide the exact figure, but we have a strong automation COE team that evaluates the ROI, and only if it is good will they approve the automation.
Which other solutions did I evaluate?
We are in a hybrid setup with Automation Anywhere, UiPath, and Power Automate Desktop, making it a hyper-automation environment.
What other advice do I have?
I am not familiar with the pricing, but I feel the licensing is a little bit complex compared to other tools.
I would recommend not relying on one single RPA tool; it is better to have a multi-view approach with two to three or four tools instead of relying on one single vendor.
I would rate this product a nine out of ten.
Automation has increased productivity and has enabled business users to build bots independently
What is our primary use case?
As a developer, I have worked for three to four years integrating SD-WAN capabilities. I create framework technologies for an architect role and give them to development teams. In total, I have 13 years of experience, with 10 years in RPA . I have around 10 years of experience with Automation Anywhere . With UiPath, I have around four years. Currently, I manage the team and deliver end-to-end solutions to clients. I initially started as a developer and now play a project manager plus architect role.
What is most valuable?
I find the learning curve of Automation Anywhere pretty good. Day by day, the tool upgrades. All RPA market leaders are upgrading to intelligent AI, cognitive, and document automation. I have started working on intelligent AI capabilities, but still not on full resources.
I definitely find it easy for business users who do not have technical skills to use it. It is drag-and-drop and low-code, no-code only, so they can easily drag and drop and build simple projects. Sometimes they need some logic things, and if they are very skilled in logical thinking, they can build it without technical knowledge.
Automation Anywhere Automation Co-pilot is true. If users give a correct prompt, the Automation Co-pilot will create the code.
I definitely find that it has helped increase productivity. I find that it has also helped free time for my team to work on value-add projects.
What needs improvement?
I believe Automation Anywhere needs to improve on product quality. Sometimes it has intermittent issues. If one node is down, the other node is up and we have a backup, but unfortunately if something happens, all the bots fail. Product-wise, they need to improve compared to other market leaders, and pricing-wise, they also need to reduce.
They have to improve a lot compared to UiPath and Power Automate , which are the market leaders. Like connectors, scalability, reliability, and build quality work fine for other tools. Similarly, Automation Anywhere should come up with these plans. They need to improve.
I agree that the scalability is not as good as its competitors.
To make it closer to ten, I think they need to improve some GUI capabilities. They need to improve for a few collectors and all, as it is not working. Similarly, they need to decrease pricing-wise.
For how long have I used the solution?
I have mostly eight years of experience as a user, consultant, and integrator.
What do I think about the stability of the solution?
I believe Automation Anywhere needs to improve on product quality. Sometimes it has intermittent issues. If one node is down, the other node is up and we have a backup, but unfortunately if something happens, all the bots fail.
What do I think about the scalability of the solution?
I agree that the scalability is not as good as its competitors.
How are customer service and support?
I can rate the technical support by Automation Anywhere eight out of ten.
How was the initial setup?
I find the initial setup pretty easy to deploy and configure.
What other advice do I have?
I would generally recommend this product to all markets and all domains. I think bigger companies can accommodate it. For startup companies, we need to think it up. Startups nowadays are not going for traditional RPA. They are moving to tools such as n8n , LangFlow, and some other open-source tools. So compared to those tools, they need to think how they can utilize this with the same product. They need to think of it from that perspective. I rate this product eight out of ten overall.