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Jiffy.ai Automate vs OpenText Robotic Process Automation 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
Ranking in Robotic Process Automation (RPA)
2nd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
662
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)
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
33rd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
OpenText Robotic Process Au...
Ranking in Robotic Process Automation (RPA)
49th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.4%, down from 9.4% compared to the previous year. The mindshare of Jiffy.ai Automate is 1.1%, up from 0.5% compared to the previous year. The mindshare of OpenText Robotic Process Automation is 0.9%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.4%
Jiffy.ai Automate1.1%
OpenText Robotic Process Automation0.9%
Other92.6%
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.
reviewer1220142 - PeerSpot reviewer
National Professional Officer at a international affairs institute with 5,001-10,000 employees
Reliable product with an efficient initial setup process
We use the solution to upload and download the documents The solution's support services need improvement. We have been using the solution for five years. The solution is stable. Although, we encounter hardware and connection issues while updating the system. After the downtime, it is…
Hugo Almeida - PeerSpot reviewer
Head of IT Automation at a tech services company with 11-50 employees
It lets us automate almost anything and is very easy to work with
It currently supports only on-premises deployments. They can include support for cloud deployments. It should provide us the ability to choose a robot for executing a workflow. We want to control which robot executes a certain workflow. Right now, it automatically chooses the robot that is going to execute our workflow. It should also provide the ability to get filters on the outputs of the steps. We have each workflow as a step, and each step has some output. We would like to have the functionality to execute some script or some logic on these outputs to format the tests directly on the variables.

Quotes from Members

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

Pros

"The Visual Studio integration is smooth and user-friendly."
"The RPA automation itself is valuable."
"When it comes to financials, Automation Anywhere has done amazing work in ensuring not only the speed and accuracy of the bot, but also the compliance and error controls through which the bot executes the job at very high satisfaction and tolerance levels."
"We automated these processes so they will be processed automatically, and users will get the end result for validation—it is basically time-saving for them."
"The best part about A2019 is its ease of use. You don't need to be a coding champ or an expert to use and implement A2019 in automating tasks. It's very easy to learn, tweak, and implement in your day-to-day tasks, especially features like capture/record is completely marvelous."
"Automation Anywhere has helped us save on both time and cost."
"This solution is easy to use and understand, even for a non-technical person."
"AA has improved our organization in a positive manner."
"I found the invoice data extraction very exciting. It is really good."
"The way Jiffy.ai integrates into existing infrastructure has been great for us. Our company is pretty stringent when it comes to cyber security and integrating with our apps... We've definitely had very strong scrutiny over this platform and this work, and even within that, it's been really successful at being able to integrate."
"We can create almost any type of solution in a very inexpensive way, and in this example, we are actually saving 97 percent of the costs."
"It removes the burden of having to do some tasks manually. However, we are just using it in production for a single project. It saves us a lot of time in terms of extracting that information. So far, it has made a big impact."
"Its initial setup process was quite efficient."
"It has saved us hundreds of hours per month and has covered the work of two or three full-time operators."
"We have seen tremendous value, especially in the pandemic, as we were able to cut costs, redistribute resources, and cover work because of the automation we have been doing, resulting in about 10 percent of the work automated in targeted areas, 5 to 10 percent time savings, and $2 million to $3 million in annual savings."
"Jiffy.ai has really helped us due to its flexibility, and we were even able to go back 20 years and connect these machines to modern systems that we run on, which connects both ends of the technology and completely automates complex, high-volume compliance and reconciliation processes that previously required many people and heavy maintenance."
"It lets us automate almost anything, even with the legacy tools. It is very easy for us now to automate with legacy tools, which used to be difficult earlier. We work with a lot of other automation tools from Micro Focus, such as Operation Orchestration, but these tools can only connect to the API. So, there was a gap when we wanted to automate older and legacy tools that didn't have any API to connect to. We can now also automate without any changes in the customer environment. We don't need to change anything in the way that the customer environment works."
"It lets us automate almost anything, even with the legacy tools."
 

Cons

"More structured and unstructured data collection will be a challenge. While we have the IQ Bot tool, the success rate at the beginning will be lower. It will be around 20 to 30 percent at the start because you need to train the bot at regular intervals. Of course, this depends on the data. This area could use be improvement."
"The initial setup was complex because we had to make sure all the security aspects were approved by our leadership."
"There is a dependency issue around the control room. If the control room is not working, the bots will not work."
"While the community provides a platform for interaction and resource sharing, not all training content aligns with the specific needs of developers."
"From an ease of use point of view, on a scale of one to ten with ten being really easy, I would rate the tool a six."
"The architecture and pro-code support for pro-code agents are areas that could use improvement, which they don't have currently."
"The solution could improve the integration with some web applications. It was difficult to manage them."
"I feel that document extraction like IQ Bot can be made more refined so that it may reach its full potential."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"Initially, in version 3, Jiffy.ai did not have support for containerization."
"The solution has just not closed the gap of being accessible to non-IT users. If you are a non-IT person, then this all looks like gobbledygook. Maybe that is something that can be improved upon."
"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers."
"I believe this is also being addressed, but a lot of the platform work, as we were putting in new versions or making some updates, was, ironically, very manual. It's improved greatly, but I would imagine that's an area that they're probably still working on, on the backend, to help when it comes to what we need to do for platform support."
"When using UiPath automation, we could just Google issues if we were stuck with something. In the initial days with Jiffy.ai, we could not get that type of information from Google because there wasn't much of a community."
"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet."
"The setup process could definitely be better."
"It currently supports only on-premises deployments. They can include support for cloud deployments. It should provide us the ability to choose a robot for executing a workflow. We want to control which robot executes a certain workflow. Right now, it automatically chooses the robot that is going to execute our workflow. It should also provide the ability to get filters on the outputs of the steps. We have each workflow as a step, and each step has some output. We would like to have the functionality to execute some script or some logic on these outputs to format the tests directly on the variables."
"It currently supports only on-premises deployments. They can include support for cloud deployments."
 

Pricing and Cost Advice

"It is one of the most affordable RPA solutions, and as for licensing, they offer a community edition that greatly helps anyone who aspires to learn about the product before buying the enterprise solution."
"Annually, we are paying almost one million reais."
"The pricing and licensing are definitely moderate to costly but easily recoverable by achieving ROI quickly."
"Licensing for Automation Anywhere (AA) is paid on a yearly basis. Out of all the RPA tools, it has the most value for money, e.g. what you pay is what you get."
"Our annual licensing costs are around $100,000 a year."
"My understanding is that the license cost of Automation Anywhere is more reasonable than UiPath and Blue Prism."
"This solution costs approximately $3,500 USD per license."
"It saves me around $100,000 a year."
"The solution's price is reasonable."
"The pricing and license make sense. They have a model based on the concurrency of the workforce, which is very suitable in our case. The savings are great on the licensing cost."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"The licensing is not expensive; it is quite cheap. The expensive part is to support and maintain it. Understandably, we engage them to do a lot of work that could have been done by our own staff, if we had an RPA team. I wouldn't hold that against them. It is just that the cost of support is on the higher side for us."
"The pricing is quite competitive. As a small player in the market, they are quite aggressive in their pricing. With the features that they offer, it is quite worth the value."
"I like that it is very cost-efficient."
"If cost is of concern, then start with Jiffy. If cost is not your main concern there are a few premium products out there, but they come with a huge price tag."
"The pricing model is very straightforward. You can have a one-year or three-year subscription. You pay for each robot that you want to use simultaneously. If you want, you can install 50 robots and get 50 licenses. If you want to use only one robot at a time, you just need one license. For each license, you pay around 10% or 15% to support. You pay for the license, and you pay a small percentage of the cost of the license for support. This is their licensing model, which is very easy to understand."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Outsourcing Company
10%
Construction Company
15%
Comms Service Provider
12%
Performing Arts
9%
Outsourcing Company
8%
Construction Company
13%
Government
10%
Comms Service Provider
8%
Performing Arts
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
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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Also Known As

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

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Southwest Airlines
Information Not Available
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: July 2026.
909,647 professionals have used our research since 2012.