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INTELLIBOT vs Python RPA 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:
 

ROI

Sentiment score
8.1
Automate delivers quick ROI by enhancing efficiency, reducing labor costs, and transforming IT operations into a profit center.
Sentiment score
8.3
INTELLIBOT offers significant cost savings and immediate financial benefits with competitive pricing and reduced personnel expenses, ensuring higher returns.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
It has reduced our expenditures in terms of purchasing more products and employing more technicians.
Fortra's Automate has effectively replaced the workload of an entire employee, saving us significant time and money.
I've seen a good return on investment with Automate, as it streamlines processes and improves my productivity.
 

Customer Service

Sentiment score
7.4
Most users appreciate Automate's responsive, knowledgeable support, despite some issues like navigation difficulties and occasional language barriers.
Sentiment score
5.9
INTELLIBOT's India service is efficient, but some users face delays and require follow-ups for resolution.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
They don't always understand the processes I'm trying to implement.
I rate the technical support 10 out of 10 because it provided excellent service during implementation and when we were connecting with different services.
I would rate the technical support as a nine out of ten because it is quite fast and courteous.
The customer service is slow to respond.
 

Scalability Issues

Sentiment score
7.0
Automate is praised for its scalability and flexibility, supporting easy expansion despite some cost and performance challenges.
Sentiment score
6.9
INTELLIBOT is scalable, adapting to larger teams, though some users rate its scalability lower than market alternatives.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
It is easy to increase one bot or one studio without needing to buy another orchestrator, which can be quite expensive.
 

Stability Issues

Sentiment score
7.0
Automate is generally stable and reliable, though performance varies with task intensity and some users report occasional issues.
Sentiment score
7.7
INTELLIBOT is stable and reliable with occasional glitches resolved through frequent updates, receiving a robust 7-8 rating.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
The stability of Fortra's Automate is excellent.
It has very robust features, and it is not prone to instability.
The stability is good and consistent, with no fluctuations in functioning.
The product is good and pretty stable.
 

Room For Improvement

Automate needs improvements in web automation, UI complexity, security, third-party integration, cloud functionality, and documentation for better user experience.
INTELLIBOT users recommend less reliance on scripts, improved documentation, and enhancements in Java interaction, OCR, and customer support.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
Integration with Amazon S3 is somewhat lacking.
I would prefer not having to log in to update a ticket; being able to respond via email would be beneficial.
I find that most important features are strong, however, there is a lack of good development for artificial intelligence, such as machine learning.
Customer support could also be improved, as they are slow to respond and appear to have policies that do not provide sufficient support for partners.
 

Setup Cost

Automate offers cost-effective RPA solutions with flexible pricing, appealing to enterprises compared to competitors like UiPath and Blue Prism.
Enterprise users find INTELLIBOT's pricing mixed, with costs ranging from $1,000 to $5,000, but value remains substantial.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
Competitors are often more expensive than Automate.
I would not say that it is really cheap or very expensive, but it fits within our budget.
It does a lot but also costs a lot.
 

Valuable Features

Automate's intuitive interface and features boost efficiency and productivity, with cost-effective licensing and minimal technical expertise needed.
INTELLIBOT provides intuitive automation features, including coding-free AI tasks, document classification, role management, and Citrix integration for efficiency.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
Automate's non-reliance on additional orchestrators makes it quite cost-effective.
Automate increases efficiency and eliminates errors during documentation and invoicing processes.
I'm able to arrange my files for reading, editing, scanning PDFs and images, and extracting data.
INTELLIBOT provides immediate cost savings on the headcount perspective, as a lot of operational tasks can be automated.
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
28
Ranking in other categories
No ranking in other categories
INTELLIBOT
Ranking in Robotic Process Automation (RPA)
27th
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
16th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.7%, up from 1.0% compared to the previous year. The mindshare of INTELLIBOT is 0.5%, up from 0.2% compared to the previous year. The mindshare of Python RPA is 2.1%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA)
 

Featured Reviews

Anabel Marco - PeerSpot reviewer
Automates processes efficiently with cost-effective scaling and robust customer support
Web scraping is quite good since it offers a lot of possibilities. Another important feature for me is its compatibility with MBI, the Power that is ISEQUADO Centers. I appreciate the ability to scale and increase the number of bots or studios without additional expense. Automate's non-reliance on additional orchestrators makes it quite cost-effective.
Renjith Raghunathan - PeerSpot reviewer
A solution that requires minimal efforts to run multiple activities at the same time
It would be helpful to add more documentation. Currently, there are not many documents available on Google that explain each activity and how to use it or how to use the parameters and pass values. This is an area that could be improved. If I were to add something that would make my life easier in a new release of INTELLIBOT, then it would be making improvements to the way it is interacting with Java. The only challenge with using INTELLIBOT is the way it works with OCR, which can make creating OCR icons very challenging. In addition, there may be challenges in using the Citrix environment.
Natalia  Raffo - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
9%
Educational Organization
5%
Computer Software Company
29%
Financial Services Firm
9%
Manufacturing Company
9%
Engineering Company
5%
Financial Services Firm
19%
Manufacturing Company
12%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about HelpSystems AutoMate?
We use it for specific cases, mainly secure file transfers, which are vital for us. And it works for us.
What is your primary use case for HelpSystems AutoMate?
I am a consultant and I am making a lot of processes in human resources, payroll, certifications, trainings, web scra...
What is your experience regarding pricing and costs for Fortra Automate?
The pricing is quite good compared to its competitors. Competitors are often more expensive than Automate. I would ra...
Which lesser known RPA vendor has the best chance at unseating today's market leaders?
Intellibot.io would be my suggestion. From DPA to RPA to cognitive model long to Chatbots to IOT they have come a lon...
What needs improvement with INTELLIBOT?
There are other INTELLIBOT products available in the market that are superior and have been around for a long time. S...
What is your primary use case for INTELLIBOT?
I work as an implementation partner for ServiceNow ( /products/servicenow-reviews ), using INTELLIBOT ( /products/int...
What do you like most about Python RPA?
Keyword-driven automation has been beneficial in streamlining operations.
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 ...
 

Also Known As

HelpSystems Automate, Automate
No data available
No data available
 

Overview

 

Sample Customers

Aldergrove Financial Group, Preferred Health Professionals, Mindbeam Technologies, First Credit Union in British Columbia, Vestcom International, Prime Liberty Benefits, University of Tampa, CNLBancshares, World Precision Instruments, BJ's Restaurants, Globe Pequot Press, Accudata Technologies, Norton Healthcare, Pacific Toxicology Laboratories
Information Not Available
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about INTELLIBOT vs. Python RPA and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.