We performed a comparison between Jiffy.ai Automate and UiPath based on real PeerSpot user reviews.
Find out in this report how the two Robotic Process Automation (RPA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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."
"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."
"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."
"Its initial setup process was quite efficient."
"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."
"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."
"They have also recently added a feature for attended automation, Picture in Picture, which is also nice to have. It's helpful because you don't want to just sit back and let the bot run and not work during that attended automation. Using the PiP feature, you can have it running on your desktop without having to interrupt it to your work."
"AI is a good feature. I am looking forward to that making life easier. It has enabled us to automate more processes. Based on the requirement, chat can hand over the process and we can kick off that bot to do the job. If someone has a problem with a ticket or with a schedule, they can connect to the schedule department or schedule bot."
"UiPath is easy to use with very simple drag and drop functionality that allows you to automate processes without knowledge of coding."
"They are providing an architecture that is really amazing."
"Transformational processes are well managed, including exceptions, so that adds to the stability. Also, you can scale out from one bot to tens of thousands, so automation is quite easy with UiPath."
"The platform is object-orientated. You can create and reuse objects, which is a great feature."
"UiPath has improved our organization; the primary difference introduced by the application of the UiPath tool is the speed of processing and accuracy in the data processing."
"The speed is much better because we're doing it on the cloud. With other solutions there were network problems, but in UiPath I have found that network connectivity is much stronger when transferring data from the back end to the front end. It is much faster."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"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."
"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."
"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."
"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."
"The setup process could definitely be better."
"The stability of this solution does depend upon the applications we are using."
"The IDE could use some improvement, but most improvements that come to mind have already been announced for release."
"Every time, when we have upgraded, except for the last time, we have struggled. We did not do it right once. We always had to retry, get some support with it, and the documentation was a little lagging. Therefore, we really struggled with upgrading. It's getting a lot better now, but this has been one place where we have struggled."
"From a developer's point of view, my biggest struggle with UiPath is debugging."
"Although AI functionality has improved in its ability to automate more complex or involved processes in the past five years, there is still ample room for further improvement."
"I had some issues with the ERP Automation features, and the setup is complex."
"One of the things we're struggling with it how to project how many robots we need to do these processes, so better documentation or assistance in this regard would be useful."
"Computational text recognition has room for improvement as it is not 100 percent accurate."
Jiffy.ai Automate is ranked 24th in Robotic Process Automation (RPA) with 8 reviews while UiPath is ranked 1st in Robotic Process Automation (RPA) with 763 reviews. Jiffy.ai Automate is rated 8.2, while UiPath is rated 8.8. The top reviewer of Jiffy.ai Automate writes "The willingness to partner with us and understand our needs was key, as are the time and cost savings from automation". On the other hand, the top reviewer of UiPath writes "Facilitates end-to-end automation, has good AI and document understanding capabilities, and saves us costs previously spent on manual tasks". Jiffy.ai Automate is most compared with Microsoft Power Automate, Kryon RPA and Automation Anywhere (AA), whereas UiPath is most compared with Microsoft Power Automate, Automation Anywhere (AA), Blue Prism, Robocorp and Pega Robotic Process Automation. See our Jiffy.ai Automate vs. UiPath report.
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