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Python RPA vs Redwood Software - Finance Automation Edition comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

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
Ranking in Robotic Process Automation (RPA)
2nd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
661
Ranking in other categories
Business Process Management (BPM) (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)
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Redwood Software - Finance ...
Ranking in Robotic Process Automation (RPA)
28th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
Financial Close Software (17th)
 

Mindshare comparison

As of July 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.5%, down from 9.6% compared to the previous year. The mindshare of Python RPA is 0.9%, down from 2.1% compared to the previous year. The mindshare of Redwood Software - Finance Automation Edition is 1.6%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.5%
Python RPA0.9%
Redwood Software - Finance Automation Edition1.6%
Other92.0%
Robotic Process Automation (RPA)
 

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.
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.
RC
Enterprise Architect at a consultancy with 10,001+ employees
Single bot now replaces five associates who previously handled finance processes and eliminates manual errors
Everything seems to be working well. However, I see value in integrating AI for automation. So, I would like to see AI integration for automation in future releases. Ideally, after I perform postings, I would like to leverage a generative AI model. This would allow me to type a query or question directly to the bot, and it would retrieve the information I need. For example, I could ask for the number of invoices, the status of specific invoices, or any other relevant data. Currently, we achieve this by building our own Finance model. So, integrating a pre-built finance model with the tool would be much easier and more efficient for reporting purposes. We're looking at several potential uses for this AI model. It could empower various user groups, including regular finance executives, customers, and even vendors to submit queries. Additionally, our leadership team is interested in using the AI model to generate reports directly on the Redwood dashboard. This functionality could potentially replace the need for BSpoke Solutions and the manual generation of BSpoke reports, streamlining the entire reporting process.

Quotes from Members

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

Pros

"AI governance is very important in my company, and we are implementing it now."
"We are using Automation Anywhere for our leave approval process. We used to have three FTEs on the day shift working on this process. Now, we only have one FTE working on the leave approval process. The bot supports everything else in the process. With this bot, we are saving the cost of two FTEs."
"UI and document automation are two features I like. Document automation is helpful because it simplifies extracting and putting data into different ERP systems. I have three or four use cases for document automation. I also like the recorder objects feature, which was called object learning in the previous version, and screen scraping."
"This Testing Anywhere is a good tool for the functional testing and also good for the beginners in Automation who don't have knowledge in scripting."
"Automation Anywhere receives high marks for its ease of use."
"I like the OCR feature, where we can capture information from PDFs."
"Automation Anywhere is very easy to use; it's a low-code platform that a person who doesn't have any technical knowledge can use."
"We have worked with various tools over many years and we believe that Automation Anywhere is one of the most stable platforms."
"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."
"Keyword-driven automation has been beneficial in streamlining operations."
"Redwood has a great feature where it logs every transaction. So, at any point, we can see every step taken for each transaction. It creates an audit trail of the entire process execution. It is a really good feature. This eliminates the need for extra coding or report generation. The audit report is readily available within the tool itself."
"Unlike other automation tools, Redwood has a unique space in finance automation, where standard SAP modules are used for automating every step in the process, quickly and easily."
"So the best thing is ease of use."
"The out-of-the-box finance modules within the Redwood Finance framework help to speed up the process, versus designing and writing generic BOT code."
 

Cons

"Blue Prism is more secure than Automation Anywhere. E.g., Blue Prism has a system that is difficult to penetrate. You can't simply go into their system and make any changes."
"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."
"The Recorder action in the A2019 Community edition is not supported."
"The main request I have for Automation Anywhere is to focus more on technical demonstrations."
"The inclusion of word packages would help us to extract data from Word and automate word-related activities easily."
"We've had a lot of issues with the installation and performance on a variety of computers, onshore and offshore. Our network bounds multiple domains, and we've had issues there, as well. So, we are looking forward to the web-based development versions."
"Automation Anywhere is not very scalable because the update and upgrade process requires immense effort from the IT organization to do a tool check."
"IQ Bot has some limitations that should be improved in future releases."
"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."
"Support could be improved."
"This is where the real challenge is, having a licensing cost that needs to be compared with the existing manual operational cost and coming up with a competitive licensing and pricing model."
"Mapping the process steps to an existing R2R process quickly would be a definite step forward."
"would like to see AI integration for automation in future releases. Post-automation, I envision a generative AI model. If I could ask the bot questions like the number of invoices or their current status, it should be able to provide answers directly."
"The room for balancing improvement lies in automation enhancement with respect to the feature areas, considering dealing directly with Excel and reviewing it to do some additional stuff for it in the end system so that reading the right thing, picking up the values, and everything."
 

Pricing and Cost Advice

"I do not know the price, but I am told that it is cheaper than UiPath."
"The enterprise version is expensive for small businesses and individual users."
"Its usage is expensive for us because my user base is mostly in Manila and KL. The unit cost of labor is cheaper there than in the U.S. or Australia, which puts a bit more stress on how to get a positive ROI while continuing to use it."
"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."
"As our team size increases, we may get some more licenses for the tool."
"Pricing is affordable and I would recommend beginning with the Starter Package."
"The Automation Anywhere license is affordable and not complex."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing."
"I am using an open-source solution."
"The tool is not expensive."
"The licensing was purely based on the number of transactions being processed in production."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
9%
Marketing Services Firm
6%
Manufacturing Company
18%
Construction Company
11%
Performing Arts
10%
Financial 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.
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...
Ask a question
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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
Redwood Business Process Automation - Finance Edition, Redwood Robotics, Redwood Finance Automation
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
ArcelorMittal, Alliant Energy, Allianz, Arla, Bacardi, CPS Energy, DSM, Faurecia, Genetech, Jabil, Jumbo,
Find out what your peers are saying about Python RPA vs. Redwood Software - Finance Automation Edition and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.