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INTELLIBOT vs Jiffy.ai Automate comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

INTELLIBOT
Ranking in Robotic Process Automation (RPA)
17th
Average Rating
7.0
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
25th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Robotic Process Automation (RPA) category, the mindshare of INTELLIBOT is 0.3%, up from 0.2% compared to the previous year. The mindshare of Jiffy.ai Automate is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA)
 

Featured Reviews

Asvinth Saravanan - PeerSpot reviewer
Mar 9, 2023
Has limited functionality, logging uses extensive resources; automation replay is great
We are a call center in a banking institution and our primary use case is for automation. We use INTELLIBOT for the Windows mainframe.  The replay of the automation is an awesome feature.  This solution is not very user-friendly and I would not recommend it for robotic platforms. It has limited…
JG
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.

Quotes from Members

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

Pros

"This solution is easy to use and requires little coding knowledge."
"I have found the most valuable feature to be the straightforward visual editor, it has close to no code required. It allowed us to deploy the email monitoring in this couple of weeks."
"There's a helpful community available through the portal."
"For machine learning, there is an in-built document and text classification feature in INTELLIBOT. That is unlike other RPA tools where one needs to procure a separate license. Besides this, the application is easy to use. One valuable feature is the drag-and-drop feature for AI and email intelligence. It is easier than using UiPath's IQ bot."
"It is a stable product. We have been using it for 15 months now, and there have been no issues."
"The replay of the automation is an awesome feature."
"The return on investment is pretty good because the license cost is cheaper than other RPA tools in the market."
"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."
"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."
"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."
"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 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."
"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."
 

Cons

"The first pain point of INTELLIBOT was with the development. Whenever the company developed any command, they published it directly onto their SQL site, and our current automation got auto-updated. The second pain point was with the action set. It could be stronger. Moreover, if I am doing UiPath automation, I have to do it with the Internal Report for now."
"The trigger actions need to be more robust."
"Has limited functionality and uses extensive resources."
"A couple of times, we noticed that some bugs caused the bot to go in the wrong flow."
"The solution is heavily dependant on scripts, such as JavaScript or any other external script that needs to be a part of the system. If they want to grow, the scripting dependency should go away. They should have built-in libraries to pull in work from."
"I would like to see the cognitive marketing platform improved."
"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."
"The setup process could definitely be better."
"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."
"The solution's support services need improvement."
"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."
"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."
"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 UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
 

Pricing and Cost Advice

"At the time, one license was $5,000 USD. If we needed to negotiate for more licenses, we could negotiate a bit on the price."
"The solution requires a license and we purchased one annually. We were satisfied with the price."
"It is quite cheap. In the year 2019, it was $1000 for a year."
"INTELLIBOT with the DPA costs approximately $1,500 USD."
"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."
"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 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 solution's price is reasonable."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
29%
Financial Services Firm
14%
Manufacturing Company
12%
Real Estate/Law Firm
5%
Financial Services Firm
25%
Computer Software Company
11%
Transportation Company
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about INTELLIBOT?
The return on investment is pretty good because the license cost is cheaper than other RPA tools in the market.
What is your experience regarding pricing and costs for INTELLIBOT?
It is quite cheap. In the year 2019, it was $1000 for a year.
What needs improvement with INTELLIBOT?
Exception handling activities within INTELLIBOT need to improve. While working with the platform, there were instances where the bot went to a different flow than intended, even when it was suppose...
What do you like most about Jiffy.ai Automate?
Its initial setup process was quite efficient.
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.
What needs improvement with Jiffy.ai Automate?
The solution's support services need improvement.
 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
Southwest Airlines
Find out what your peers are saying about INTELLIBOT vs. Jiffy.ai Automate and other solutions. Updated: October 2024.
815,854 professionals have used our research since 2012.