IBM Robotic Process Automation (RPA) vs Jiffy.ai Automate comparison

"I like the integration with Watson and the possibility to have an intelligent reading of all the customers' documents."

"It's integrated with all the other products within the Salesforce ecosystem."

"IBM Robotic Process Automation has greatly improved the organization by improving the speed of performance, as the speed of the robot is estimated to be 20 times faster than the human being."

"It is easy to use. We have enabled our resources who don't have a background in automation to be certified and trained, then implement this product within a very short period of time, as it is very user-friendly."

"The quality is great! It's very strong and has a very strong platform."

"The solution's ease of use is its most valuable aspect."

"The initial setup is straightforward."

"It is a good tool for automation."

"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."

"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 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."

"Its initial setup process was quite efficient."

"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."

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

"We would like a decreased need for customer support."

"The product must be promoted more."

"We would like more focus on understanding AI and how it can be used to manage exception handling."

"Needs better integration with artificial intelligence or with machine-learning."

"Extensibility is the key, especially in terms of the Recorders feature that we have. That should be browser independent. Enhance it because some people have Chrome, some have Internet Explorer, etc. Also, integration with PDFs: Not just the ability to read information from PDFs but the ability to write information from PDFs, make it secure, sign it, etc. Finally, if they can allow a token exchange inside the tool itself, that would help."

"Capturing GUI operations is very easy, but capturing IBM Logistics automation is hard. It does not always work with browsers or automotive applications like SAP."

"I would like it to do pretty much everything out-of-the-box without any need for any customization. However, that is not the case right now. We absolutely have to do some amount of customization with the solution in order to use it out-of-the-box as-is."

"I would like to have more flexibility in connecting the platform with third-party systems."

"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."

"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."

"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."

"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."

"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."

"The setup process could definitely be better."

"IBM RPA is cheaper than other tools."

"IBM licensing is annual and based on Virtual Processor Cores (VPC). This provides flexibility as part of the containerization environment."

"There is a free trial for one month, so you can use it to run your payloads or proof of concept. After that, you can pay for the license on a monthly or annual basis."

"I rate the pricing ten out of ten. So, the pricing is very good for me."

"The product is reasonably priced compared to other tools."

"The license is paid annually."

"The product has a yearly licensing fee."

"The pricing is reasonable."

"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."

"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."

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

"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 solution's price is reasonable."

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