We performed a comparison between Blue Prism 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).
"There are simple things you can put in place that help you understand workflow and how implementation acts."
"It is a stable solution."
"The only good thing about Blue Prism is the execution speed."
"Blue Prism is very good at doing background processing."
"Blue Prism has a lot of flexibility to integrate with other enterprise applications"
"Blue Prism provides both on-premises and cloud versions."
"From technical perspective, Blue Prism is pretty good. Overall, it's a stable and scalable solution. Installation is straightforward as well."
"A feature I like about Blue Prism is the Control Room and how easy it is to find exceptions, to find common issues, and to troubleshoot your exceptions. Your Control Room person, without any development skills, can easily pick up what the problem is, with the exceptions, especially when there are a lot of exceptions related to one use case or process."
"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."
"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."
"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 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."
"Its initial setup process was quite efficient."
"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."
"Blue Prism could be compatible with Oracle's suite of ERPs. We have seen some issues related to this. They could do much better with their intelligent document processing solution. They're pretty behind and don't have attended bots."
"The solution can be improved by switching off data DB and including a report section."
"I have found that community support is lacking for this solution compared to competitors."
"Blue Prism could improve by having better integration with Computer Vision."
"From a monitoring perspective, the way the screens are set up, or the reporting within Blue Prism, is not really user-friendly. You need a technical person to basically put that up. It's not necessarily easily viewable."
"Blue Prism develops its own tools and process automation, but the documentation is unclear and incomplete."
"I would like to see machine learning functionality integrated with the automation."
"Blue Prism features two layers of documentation. If we could make it in one layer, then it would be easy to develop, and it would take less time for developers to complete the task."
"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 UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"The solution's support services need improvement."
"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 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."
Blue Prism is ranked 4th in Robotic Process Automation (RPA) with 84 reviews while Jiffy.ai Automate is ranked 25th in Robotic Process Automation (RPA) with 8 reviews. Blue Prism is rated 7.8, while Jiffy.ai Automate is rated 8.2. The top reviewer of Blue Prism writes "Way more efficient for debugging than other tools but the UI is complicated". On the other hand, 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". Blue Prism is most compared with Microsoft Power Automate, UiPath, Automation Anywhere (AA), Pega Robotic Process Automation and Tungsten RPA, whereas Jiffy.ai Automate is most compared with Microsoft Power Automate, UiPath, Kryon RPA and Automation Anywhere (AA).
See our list of best Robotic Process Automation (RPA) vendors.
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