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Automation Anywhere vs Deepset AI Platform comparison

 

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
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
660
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
8th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (27th)
 

Mindshare comparison

As of August 2026, in the AI Finance & Accounting category, the mindshare of Automation Anywhere is 7.5%, down from 49.8% compared to the previous year. The mindshare of Deepset AI Platform is 1.3%. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
Automation Anywhere7.5%
Deepset AI Platform1.3%
Other91.2%
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

"We have an automation that we just put in production where we are doing a double-blind quality review, and the bot is comparing the two entries and kicking out a large number of exceptions for human review, so we have saved a large number of hours every day by not having humans look at things that match."
"The overall UI of the tool is so user-friendly that even a beginner can use it easily."
"The deployment of Automation Anywhere went smoothly. They were very supportive with the migration of all of our existing automations and also being there and supportive with the development of the new automations."
"The most valuable feature of Automation Anywhere is the automation that frees up time for our employees to engage with customers."
"Document Automation is something we are using and have used in the past; it is excellent."
"RPA implementation will be always fruitful, and return on investment will be always higher than the input costs."
"It is easy to use. It helps to reduce your man-hours and manual effort."
"We have hundreds of cases a day. There were around two to three employees who were just moving a case from one state to another. This was a repetitive, tedious job, which was frustrating for the employees. It helps to have the bot doing this work now. We have immediately seen effects, so this is a good use for it."
"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

"As a developer, I would like to have copy commands available from one bot to another."
"The enterprise version is expensive for small businesses and individual users, which can pose a challenge."
"There are many bots available on the Bot Store. However, my developer told me that he was unhappy with the quality of the bots available."
"Anything that can be done to simplify the solution. I would love to see it where anybody who can run Excel will be able to create bots. Right now, I am watching everyone around me struggle with the tool."
"We have used the technical support. I am quite unhappy with the support part. The higher priority tickets are not getting resolved within the SLA. Higher priority tickets for production issues should be looked into immediately. However, until they get escalated, tickets are not receiving higher priority. I would like to see this improve."
"What I don't like about Automation Anywhere is that its troubleshooting tools need to be improved because they usually take a long time to solve problems as they come up."
"One of the important drawbacks of Automation Anywhere is that it needs to be able to show the automated process as a single flowchart."
"Regarding the pricing, I think it's high, and it's the same for the setup cost and licensing."
"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

"It looks like it will be right around $115,000, not counting IQ Bot, which we won't renew until later."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."
"The pricing of AA is similar to UiPath."
"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."
"It's justified because we have saved quite a bit of money at the company and many manual hours. Overall, it justifies the cost."
"Our annual licensing costs are about $500,000."
"There are a lot of savings in terms of effort and time as well as costs. Automation Anywhere automates a lot of processes. It allows an organization to save the efforts of a lot people. It saves a lot of time because people can't work a whole day (24/7), but Automation Anywhere bots can."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Construction Company
42%
Comms Service Provider
13%
Outsourcing Company
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
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: July 2026.
909,725 professionals have used our research since 2012.