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Appian RPA vs Jiffy.ai Automate 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
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 (2nd), AI Procurement & Supply Chain (1st)
Appian RPA
Ranking in Robotic Process Automation (RPA)
11th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
3
Ranking in other categories
Process Automation (20th)
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
34th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.2%, down from 9.0% compared to the previous year. The mindshare of Appian RPA is 1.3%, up from 0.7% compared to the previous year. The mindshare of Jiffy.ai Automate is 1.1%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.2%
Appian RPA1.3%
Jiffy.ai Automate1.1%
Other92.4%
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.
Ashish-Chopra - PeerSpot reviewer
Principal Architect at Westpac Bank
Automation has reduced manual errors and now needs better high-volume data handling
In my opinion, Appian RPA can be improved. We are planning to conduct a proof of concept on volume because we are still not entirely certain about how well the record type feature performs on Appian with high volumes of data. After conducting client calls with HSBC, Santander, and a few of the Big Four, we learned about use cases where Appian has been used for high volumes of data. We are planning to conduct a proof of concept to test that hypothesis. Additional features that could enhance Appian RPA in the future would include AI on Azure. Currently, their AI is only AWS-based, and we are in discussions with the company about this because we are an Azure shop. I believe this would be a good area for them to concentrate on.
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…

Quotes from Members

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

Pros

"Bot Runner - The Bot Runner is the machine where you run the bot. You could have multiple bots running in parallel. You only need the Run License to run the bots. The bots report back the execution logs/pass/fail status back to the control room."
"Automation Anywhere RPA has enabled a lot of our employees to have their valuable time freed up to do other things, ranging from the Treasury department, the Revenue department, General and Cost Accounting."
"By using its AI & ML capabilities, we have solved many problems for our clients."
"We've shifted platforms a couple of times, and Automation Anywhere is the one that stuck based on end-user experience, the ease of development, and trainability with the tool."
"One of our customers here in the Middle East has saved around 10,000 man-hours for a telecom company with the help of 50 to 60 robots initially, and now the same company is using around 4,000 robots now."
"We have a lot of clients who use AA bots in their own process. Automated that are automated require less human input. AA bots save lots of time, increase efficiency, deliver accurate output, and provide consistency which improves the overall function of processes in different domains."
"On the server-side, multiple developers working on a single project can save their individual works and have them stored in a single repository."
"If anyone is looking for an efficient automation tool, I definitely recommend Automation Anywhere because it is very helpful, even for non-technical people."
"The best feature of Appian RPA is that it is highly integrated into the Appian platform itself and is very easy to configure in the end-to-end Appian automation solution."
"Appian RPA is super easy to use, offering low code, no code capabilities."
"I find the pricing of Appian RPA reasonable because it is user-based, and we can experiment with it."
"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."
"In terms of the processing of the transaction, Jiffy.ai Automate scores monthly between a 95 to 98 percent success rate for all transactions."
"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."
"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."
"Its initial setup process was quite efficient."
"Overall, it's a good application to start your RPA journey with."
"It has saved us hundreds of hours per month and has covered the work of two or three full-time operators."
 

Cons

"Replacing the list of search options with voice commands for each item would be great."
"We experienced continuous bot disconnections in our environment."
"It is good for standard procedures with an SOP. For those, it works well. But there are processes that are tricky and need human intervention and intelligence. In those cases, the process gets stuck."
"Room for improvement is more on the IQ Bot side: How quickly we can adopt and deploy it?"
"The product is not working sometimes with the methods we prefer."
"There is still a way to go for Automation Anywhere where we can see improvement."
"We want it to work with more APIs. It needs to integrate with multiple APIs. That would be something that I would like going forward."
"I would like a couple more features where I can talk and the line comes up automatically. I can just put on a mic, like in "Ok Google". With "Ok Google", I can tell it to please open an Excel spreadsheet with the header read. If this is there, then I don't even need to sit on a computer, I can just dictate my commands and it will automatically come up."
"There are many competitive products in the market right now, for example, UiPath and Automation Anywhere. These competitive products are now coming up with features which Appian RPA currently does not have."
"There are not any areas that need improvement off the top of my head."
"In my opinion, Appian RPA can be improved."
"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."
"Initially, in version 3, Jiffy.ai did not have support for containerization. In our environment, we are heavy users of containers and container illustrators. So, the initial deployment option was running based on individual hosts that we deployed in the cloud. That created a singularity in the way that we deployed services in our system."
"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 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."
"The setup process could definitely be better."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"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."
"Initially, in version 3, Jiffy.ai did not have support for containerization."
 

Pricing and Cost Advice

"The control room access gives the ability to create different roles, which helps when purchasing additional licensing."
"They all are very competitive today. At the end of the day, it boils down to the negotiations that happen and what type of partner you are."
"We have saved a lot of money on taxes based on the stuff that we run."
"AA comes at a more affordable price than the other tools."
"It is subscription-based. They have different schemes. The price depends on how you negotiate with the local partner or local representative in your country."
"Automation Anywhere University is pretty good. They make it available free for everyone."
"We have seen ROI in terms of cost and time with a couple of our projects."
"I do not know the price, but I am told that it is cheaper than UiPath."
Information not available
"The solution's price is reasonable."
"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."
"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."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"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."
"I like that it is very cost-efficient."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
10%
Manufacturing Company
10%
Construction Company
18%
Financial Services Firm
16%
Comms Service Provider
11%
Insurance Company
9%
Construction Company
14%
Outsourcing Company
13%
Comms Service Provider
13%
Performing Arts
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise82
Large Enterprise558
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
 

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 is your experience regarding pricing and costs for Appian RPA?
I didn't handle payments or costs. We recommended infrastructure stacks to our clients, who implemented them, and we ...
What needs improvement with Appian RPA?
In my opinion, Appian RPA can be improved. We are planning to conduct a proof of concept on volume because we are sti...
What is your primary use case for Appian RPA?
We have been working with Appian RPA along with the entire workflow case management suite. Recently, Appian released ...
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Also Known As

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

Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
empark, talan, liverpool, ayesa, aeromexico, teknei
Southwest Airlines
Find out what your peers are saying about Appian RPA vs. Jiffy.ai Automate and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.