We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I would say that the cross-integration between different modules, such as between the OCR, RPA, and ML, is the most valuable feature."
"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."
"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 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."
"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."
"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."
"Better training and better accessibility of the tools are the things that need to be improved."
"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."
"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."
"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 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."
"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."
"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."
"I like that it is very cost-efficient."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
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Edgeverve AssistEdge Cloud RPA is ranked 26th in Robotic Process Automation (RPA) with 1 review while Jiffy.ai Automate is ranked 10th in Robotic Process Automation (RPA) with 7 reviews. Edgeverve AssistEdge Cloud RPA is rated 6.0, while Jiffy.ai Automate is rated 8.2. The top reviewer of Edgeverve AssistEdge Cloud RPA writes "Stable with good cross-integration between modules, but the training needs to be improved". On the other hand, the top reviewer of Jiffy.ai Automate writes "One stop solution for automating a wide range of processes in a very structured, logical manner". Edgeverve AssistEdge Cloud RPA is most compared with Microsoft Power Automate, UiPath and Blue Prism Cloud, whereas Jiffy.ai Automate is most compared with UiPath, Automation Anywhere (AA), Blue Prism Cloud, Pega Robotic Process Automation and Microsoft Power Automate.
See our list of best Robotic Process Automation (RPA) vendors.
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