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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
641
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 (1st), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
35th
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)
47th
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 June 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.5%, down from 10.0% compared to the previous year. The mindshare of Jiffy.ai Automate is 1.0%, up from 0.4% compared to the previous year. The mindshare of OpenText Robotic Process Automation is 0.8%, 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 Anywhere5.5%
Jiffy.ai Automate1.0%
OpenText Robotic Process Automation0.8%
Other92.7%
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 most valuable feature of Automation Anywhere is the ease with which it integrates with our existing APIs."
"Since it has capabilities to integrate with third-party applications easily, it makes the life of an automation engineer very easy."
"It helps with the speed on improving processes and the results of those processes."
"The automation that we have run on a daily basis helps us by saving a lot of time."
"The capacity to use Automation Anywhere in the cloud is the most valuable feature."
"AA has improved our digital strategy extensively and provided the required leverage to place ourselves above other peers in the O&G Industry. We were able to develop quick digital solutions by demonstrating the ROI and gain momentum by aligning the desired resources & budget from leadership."
"Object cloning is one of the main features that are using. We are very happy with it. as It has enabled us to capture a lot of things on screen and use them."
"It removes demotivating, repetitive work from our teams."
"Previously, it used to be a completely manual process where we used to have around 16 people looking at the invoices and typing in the data, and now that we have put in a bot, this process is completely centralized and we now have just two people who look at the exceptions."
"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."
"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."
"Its initial setup process was quite efficient."
"The biggest driver was the cost savings. We wanted to improve productivity and save costs. Therefore, we gave most of the mundane tasks currently being done by a human to a bot. Some of the mundane tasks were reading invoices and keying in the data. We are talking about 15,000 documents every day. That is a huge volume that needs a lot of people. With the bot, it is just a fraction of the cost, because there is a huge savings in terms of manpower."
"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."
"I found the invoice data extraction very exciting. It is really good."
"It is a one stop solution for automating process. The modular way that is assigned and works together follows a certain logic, and it encompasses a wide range of processes in a very structured and logical manner."
"It lets us automate almost anything, even with the legacy tools."
"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."
 

Cons

"The assign value function is not there in the A2019 Community edition, which makes it hard for a developer to manipulate the data."
"There is an issue with the object cloning in Excel. OCR is also not that stable. Image recognition works fine, but not all the time."
"Web automation capability needs to be improved."
"Automation Anywhere could benefit from a more technical focus."
"We do not have a precise area that needs improvement, but sometimes while running bots that traverse through different websites, the screen hangs or takes time to fully load."
"The technical support is critical for this product, but we have found them a challenge to work with."
"This solution saves us time but there are some things that make it clumsy for the end-users."
"The scheduling is a little difficult at times."
"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."
"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."
"The solution's support services need improvement."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"There's a trade-off. One of the reasons we ended up with Jiffy is that the cost is really low compared to the rest, but in exchange you get what you pay for."
"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."
"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."
"It currently supports only on-premises deployments. They can include support for cloud deployments."
"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."
 

Pricing and Cost Advice

"It's very good in terms of cost and pricing."
"Our advice is that anybody interested in this product should negotiate product bundles in order to reduce the cost of installation and setup."
"This solution costs approximately $3,500 USD per license."
"Automation Anywhere's price is considerably better than UiPath's."
"I am using that Automation Anywhere Master Certification for version 11. Recently, this has been updated in Automation Anywhere University. Until this month, it's free to use. There are no charges. That's why I would like to complete it this month."
"The licensing needs to be made simpler or shortened."
"The solution is quite expensive. Not every organization can consider this option."
"Automation Anywhere offers a subscription-based licensing model for cloud, on-premises, and hybrid deployments."
"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."
"The solution's price is reasonable."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"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 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."
"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."
"I like that it is very cost-efficient."
"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
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Construction Company
16%
Comms Service Provider
11%
Performing Arts
11%
Healthcare Company
7%
Construction Company
14%
Government
10%
Performing Arts
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise536
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: June 2026.
902,495 professionals have used our research since 2012.