Appian RPA vs Jiffy.ai Automate comparison

Appian and JIFFY.ai are both solutions in the Robotic Process Automation (RPA) category. Appian is ranked #19 with an average rating of 9.0, while JIFFY.ai is ranked #25 with an average rating of 8.0. Additionally, 100% of Appian users are willing to recommend the solution, compared to 88% of JIFFY.ai users who would recommend it.

Appian RPA

Read 1 Appian RPA review

205 Views
160 Comparison Views

100% willing to recommend

Jiffy.ai Automate

Read 8 Jiffy.ai Automate reviews

457 Views
267 Comparison Views

88% willing to recommend

Appian RPA

Jiffy.ai Automate

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Executive Summary

We performed a comparison between Appian RPA and Jiffy.ai Automate based on real PeerSpot user reviews.

Find out what your peers are saying about UiPath, Microsoft, Automation Anywhere and others in Robotic Process Automation (RPA).

To learn more, read our detailed Robotic Process Automation (RPA) Report (Updated: October 2024).

Buyer's Guide

Robotic Process Automation (RPA)

October 2024

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Categories and Ranking

Appian RPA

Ranking in Robotic Process Automation (RPA)

19th

Average Rating

9.0

Number of Reviews

Ranking in other categories

Process Automation (24th)

Jiffy.ai Automate

Ranking in Robotic Process Automation (RPA)

25th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

MikahSellers

Partner at a non-tech company with 1-10 employees

Oct 23, 2024

Efficient automation with substantial ROI and innovative UI enhancements

We were automating customer experience workflows for the contact center, including systems like CRM, service desk solutions, CCaaS solutions, and pulling data from ERPs It allowed us to reduce the level of effort to complete contact processes from one hundred fifty seconds to ninety seconds,…

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John Georgiadis

VP Engineering at Zact

Jan 14, 2021

Removes the burden of having to do some tasks manually

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. However, in the latest version release (4), they have full support for containerization. This has been a great improvement and one of the driving factors for switching from version 3 to version 4 very soon. The containerization capability will make a huge difference in our deployment process, because it doesn't create exceptions in the way we would deploy services. All the rest of the system is containers, so if you now have a product from a vendor that doesn't support containerization that means you must have a different process of deploying services, then accompany it with corresponding policies, because we have policies on how systems need to be configured to be reliable, secure, etc. Also, there are the BCDR aspects of it: the disaster recovery and business continuity. So, if you're introducing a new way of deploying services, now you need to have a BCDR plan dedicated to that as well, as opposed to deploying everything using a single model of deployment (mainly containers). Therefore, this will simplify a lot of things, in terms of DevOps.

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Quotes from Members

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

Pros

"Appian RPA is super easy to use, offering low code, no code capabilities."

"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."

"I found the invoice data extraction very exciting. It is really good."

"The most valuable feature is the computer vision or OCR. That has a lot of use cases in real life. A lot of man hours can be saved, as we've seen in the finance processes... The feedback I have gotten from the team is that the OCR is quite powerful."

"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."

"Its initial setup process was quite efficient."

"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."

"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."

"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."

Cons

"There are not any areas that need improvement off the top of my head."

"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 UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."

"The setup process could definitely be better."

"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."

"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's support services need improvement."

"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."

Pricing and Cost Advice

Information not available

"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."

"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 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."

"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."

"I like that it is very cost-efficient."

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815,854 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

25%

Computer Software Company

11%

Transportation Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about Jiffy.ai Automate?

Its initial setup process was quite efficient.

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What is your experience regarding pricing and costs for Jiffy.ai Automate?

The solution's price is reasonable in terms of its performance. The licensing costs approximately $10,000 per year. There are no additional costs involved.

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What needs improvement with Jiffy.ai Automate?

The solution's support services need improvement.

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Comparisons

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Compared 62% of the time

Blue Prism vs Appian RPA

Compared 38% of the time

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Microsoft Power Automate vs Jiffy.ai Automate

Compared 51% of the time

Nintex RPA vs Jiffy.ai Automate

Compared 49% of the time

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Product Reports

Buyer's Guide

Robotic Process Automation (RPA)

October 2024

Download Appian RPA product report

Buyer's Guide

Jiffy.ai Automate

November 2024

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Also Known As

Jidoka RPA

No data available

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Appian

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JIFFY.ai

Overview

Appian RPA seamlessly integrates with the comprehensive Appian Platform for process automation, offering an end-to-end solution for streamlining workflows and automating repetitive tasks. With features like the Universal RPA Task Recorder and the Low-code Appian Process Modeler, users can quickly build and deploy bots without extensive coding knowledge. Appian RPA ensures governance, dynamic exception handling, secure deployment, and scalability, enabling organizations to maintain automation integrity while efficiently managing digital workers across various environments. By leveraging Appian RPA alongside Appian IDP, AI, business rules, and API integrations, businesses can achieve seamless process automation and drive value quickly, optimizing workflows between humans, digital workers, and systems. With Appian's unified platform for change, organizations can accelerate digital innovation, enhance business efficiency, and create end-to-end automation solutions tailored to their specific needs.

Founded with the mission to radically change how enterprises automate complex business processes, JIFFY.ai puts the power of real-time innovation in business users’ hands. JIFFY.ai delivers an app-based, cognitive automation platform that includes capabilities ranging from intelligent document processing, natural language processing capabilities, RPA and Low Code/No Code development.

Sample Customers

empark, talan, liverpool, ayesa, aeromexico, teknei

Southwest Airlines

Buyer's Guide

Robotic Process Automation (RPA)

October 2024

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