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AntWorks CMR+ vs Python RPA 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
Sponsored
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
661
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 Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
AntWorks CMR+
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
Intelligent Document Processing (IDP) (16th)
Python RPA
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
Robotic Process Automation (RPA) (15th)
 

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.
Rick Koo - PeerSpot reviewer
Digital Technology Leader at Mercer
Leading-edge NLP capabilities, efficient training of machine learning models, and the automation saves us significant time
The machine learning capability is good. The algorithm helps us to get the right data with less training effort. The technology seems to be a little bit ahead of the standard NLP software. They use more pattern recognition, rather than basing everything on reading static text. The problem with relying on an unchanging text is that it can depend on things such as the formatting, and where things appear within a document. This solution can process complex formats, which is helpful for us because we get a lot of PDFs and they come in many different formats. As an example, a carrier might include a list of their rates in a table, whereas a different carrier will write their rates into a paragraph, and yet another will put them into some sort of graphic. If you only capture text then you will only capture part of that data. Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data. When it comes to predicting what it is that a document needs manual intervention, CMR Plus does it pretty well. They have a QA cycle that is usually able to highlight such data. The content recognition ability, in terms of giving us only the data that we need and nothing else, is pretty good. It has a positive effect on our efficiency and by extension, it impacts our infrastructure costs.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Robust and good for data processing while being helpful for building data science use cases
The processing of data is good. We can use many different types of data, including images and videos. We can use different libraries to do better preprocessing of different types of data. We can do different models in recommendation systems for things like videos and sales strategy. We can do language processing or sentiment analysis to predict things for our clients. We can design and develop machine learning applications that can predict events. We can use these on libraries to solve complex problems when we have a lot of data. It's possible to use the solution with other tools. It's very agile. In the financial advisory and portfolio management space, several budget management applications are now available in the market. These have machine learning based functionality. In Python, I use different machine learning algorithms to enable customers to keep track of their expenses and provide recommendations on better savings. These are machine learning algorithms that customize financial portfolios by looking at income rate tolerance and preferences, et cetera.

Quotes from Members

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

Pros

"Toward this life cycle, we have a very structured approach of governing, monitoring, and tracking, that's the approach we have taken. Insights we gain from this governance, we apply towards automation strategy and implementations. We've done this for many clients across the globe. We are happy to share those experiences with some of you as well."
"I found that the REST API commands are very useful and easy to use."
"For us, the features of Automation Anywhere help us scale our automations and standardize our processes."
"Workflow automation has helped a lot with cost reduction, greater accuracy, and delivery speed."
"Automation Anywhere has transformed the financial, healthcare, and automobile sectors to a great extent by automating backend office work."
"The solution has removed humans making errors while increasing our time savings, and we now have a lot more efficiencies in our process."
"It has absolutely been worth it for us and has provided us with good value."
"The most valuable features of Automation Anywhere are the document processing and queue management."
"This product has helped to boost our overall efficiency and performance, giving us the ability to automate many manual tasks and collect the right data for our analytics so we can serve our clients more effectively."
"The automation provided by this solution has saved us a lot of time."
"Pattern recognition ultimately helps us to circumvent the problems in dealing with format variability in documents and allows us to capture the right data."
"Keyword-driven automation has been beneficial in streamlining operations."
"It's possible to use the solution with other tools. It's very agile."
"Instead of writing multiple lines of code, we can do it in a single statement."
 

Cons

"My main issue with Automation Anywhere might be the logging of bots and getting more detailed feedback of what my bot is doing, step by step. It is hard to track fine-tuning in larger codes."
"We had a major issue when it came to single sign-on. We couldn't get it working."
"It would be great if they could do more third-party Salesforce integrations into the RPA side, which would be helpful."
"While it is easy to develop automation, deploying and running them requires some technical knowledge."
"Most clients use systems which use old Java versions, trying to automate on these systems is really difficult since most features/commands are not supported."
"My current and previous companies have had stability issues."
"We would like to see more capability for integration and more customization available with some features."
"I think Automation Anywhere could be improved by addressing the learning curve, as it is a little complex to start using it, especially for people new to automation tools."
"It would be very helpful to have a simple and extensive training guide, or training model, to help learn how to work with the product."
"We would like to see the overall accuracy increase from approximately 70% to perhaps 85%."
"Support could be improved."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
"When we call an API and there is an error, it doesn't tell you what the error is."
 

Pricing and Cost Advice

"We would like to use Citrix going forward. We use Bot Runners to scale up, and it gets to be expensive. Using Citrix, it can mitigate costs."
"The pricing is a bit higher."
"We have saved time and money using this solution."
"Our costs are approximately between $5,000 to $10,000 per license."
"We have reduced our headcount, approximately 200 to 300 employees, by eliminating manual, repetitive work. It provides profit to the business."
"Automation Anywhere is expensive."
"I feel the cost of licensing is very high for the A2019 version."
"The ROI is really good. We have saved time and money."
"The pricing is really good, and it's based on usage."
"The tool is not expensive."
"I am using an open-source solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Construction Company
16%
Manufacturing Company
11%
Financial Services Firm
11%
Comms Service Provider
7%
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
9%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise83
Large Enterprise553
No data available
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 ver...
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 applic...
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.
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What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to ...
What is your primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentatio...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use ca...
 

Also Known As

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

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: June 2026.
902,988 professionals have used our research since 2012.