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Automation Anywhere vs Deepset AI Platform comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automation Anywhere
Ranking in AI Finance & Accounting
2nd
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
666
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Procurement & Supply Chain (1st)
Deepset AI Platform
Ranking in AI Finance & Accounting
9th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (29th)
 

Mindshare comparison

As of October 2026, in the AI Finance & Accounting category, the mindshare of Automation Anywhere is 6.1%, down from 49.8% compared to the previous year. The mindshare of Deepset AI Platform is 1.2%. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
Automation Anywhere6.1%
Deepset AI Platform1.2%
Other92.7%
AI Finance & Accounting
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
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.
CH
Gen Ai Engineer at extend 7.ai
Pipeline framework has transformed how I evaluate RAG models and optimize vector search
The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time. The pipeline feature and the ease of composing with large language models and vector search save me a lot of time by not writing the code from scratch. I just build the pipeline because Deepset AI Platform provides the out-of-the-box integration with the tools and stack that I am using, including the OpenAI model as well as the Pinecone API. I do not need to implement the details; I just use the existing tools in Haystack, pulling it together for the pipeline. This allows me to avoid too much detailed coding and saves me a lot of work, enabling me to focus on the evaluation. Deepset AI Platform positively impacts our organization because we previously did not use any framework for Gen AI applications, and the introduction of this stack provides a framework for our team. It lets our team think about it and shows that it is worth introducing a framework in the future.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Automation Anywhere was the simplest solution, and it offered us immediate support."
"It's very easy to use. It helps streamline manual processes."
"We have increased our productivity by five times as of now, and we are still growing."
"This tool provides us with easy accessibility for adopting the new process, as it is more user-friendly, and many new resources are able to grasp the tool and start doing the automation with ease, which is basically missing in the other vendors' tools."
"Automation Anywhere provides the best application to use for RPA and other automation requirements. It's very easy to use and easy to understand. It's UI(user interface) which is so friendly and easily understand by the user, it is very easy to install automation anywhere product simply click on next to install, it is easy to develop bot and no coding knowledge is required to develop"
"Automation Anywhere is a valuable tool, as a developer I can do whatever I want: if I want to do automation with the web, Windows, mainframe, or SAP applications, we can do whatever we want with automations using Automation Anywhere."
"In human resources, we created several core SAP systems so that the basic users in human resources can reduce redundancies by 10 times with very little cost."
"Automation Anywhere has by far, provided one of the best and easiest solutions to implement RPA."
"Specific outcomes since using Deepset AI Platform include ROI from fewer unsupported AI answers, faster context retrieval, and better manager trust in our quality answers."
"The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time."
 

Cons

"We would like a smoother process for moving bots and tasks between the different development environments, from development to testing to production. We find this to be pretty cumbersome to work through."
"In the Microsoft Excel features, it needs a command to wait for a calculation to complete."
"My experience has been that if the person who codes the bot is not very well-trained, then they might create unstable bots."
"There could be more training provided by Automation Anywhere."
"Technical support needs to be much faster. I also had the project delivery. I had six clients whom I looked after. Whenever we got stuck, it was all about sprinting. There was a two or three week sprint. Within that, if you just wait for two to three days, it doesn't make sense. The support needs to implode, because I was just talking to a customer now who came directly and asked us, "Can you give us a dedicated support team?" It's feedback from our customer that support takes too long."
"There were times in the past where through submitting a ticket for support, it seemed that some of the engineers who were helping me did not understand the product that they were supporting. That felt difficult because I felt I was almost explaining the product to the company."
"Improvement areas will be there for everybody. I think one area which I would like to see improvement is in IQ Bot. Maybe it has improved a lot in version 11 X but I think that that's one area which definitely scope to improve."
"The mobile application can be improved by adding more functions and capabilities because right now, only a few features are enabled for mobile users."
"Deepset AI Platform's accuracy and reliability of output are very good when the pipeline is simple and the data is already clean. However, when the data is not clean and the pipeline is complex, the quality and reliability of Deepset AI Platform decrease."
 

Pricing and Cost Advice

"Automation Anywhere is costlier than the general competition. That is aligned with the share of the market it has."
"I am not involved in the pricing, but based on what I hear from our central RPA team, it is not very expensive; it is also not cheap. Its price is in the midrange."
"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"If you look at the capital expenditure, Automation Anywhere is number two to UiPath. But if you take a long-term view, on a scalable model of a large number of bots coming out, it slowly goes on to become the costliest tool. There is something they can do about that. The capital expenditure goes out right at the point of buying the tool. For Automation Anywhere, I would need to spend $20,000. UiPath can give me something for $6,000, while Blue Prism will come in at $300,000."
"We have seen the tangible benefits of taking monotonous work off people's plates, creating capacity, and cost reductions."
"We would like them to change the license model of charging per bot."
"The major reason that we selected Automation Anywhere was the licensing model."
"It's an ideal pricing model to customize the components based on everyone's needs."
Information not available
report
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915,341 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Construction Company
37%
Comms Service Provider
17%
Outsourcing Company
10%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
No data available
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is very good in certain situations but lacks in others. For me, it's more the team tha...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applications that AA has limitations for, such as the Oracle. For web-based applicatio...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
What needs improvement with Deepset AI Platform?
Deepset AI Platform can be improved by simplifying pipeline management and providing easier debugging for complex Retrieval-Augmented Generation flows. To improve my experience with Deepset AI Plat...
What is your primary use case for Deepset AI Platform?
My main use case for Deepset AI Platform is utilizing it as an AI orchestration layer for RAG, search, and agentic workflows. I use this as an AI orchestration solution for GenAI applications and f...
What advice do you have for others considering Deepset AI Platform?
My advice for others looking into using Deepset AI Platform is to know your use cases. There are many options in the market including LangChain, LlamaIndex, and Pinecone Assistant. It is crucial to...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Find out what your peers are saying about Automation Anywhere vs. Deepset AI Platform and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.