Jiffy.ai Automate Alternatives and Competitors

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Read reviews of Jiffy.ai Automate alternatives and competitors

AM
Digital Project Manager at a aerospace/defense firm with 501-1,000 employees
Real User
Top 5
Saves significantly on manpower, but the UX needs improvement, as designing workflows is not straightforward

What is our primary use case?

We mostly use Jiffy.ai in finance, for accounts payable, accounts receivable, for scanning invoices, and fetching invoices from the suppliers' websites. The new division I'm in, which is a non-finance division, requires some automation as well. We are an engineering division, and the RPA team is starting to look into the non-finance processes. In our division, the processes are along the lines of document scanning and organization of those documents. We need to scan documents and identify the document types and put them in the right folder. It's a very manual, labor-intensive job that we are… more »

Pros and Cons

  • "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 UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."

What other advice do I have?

I haven't seen fully deployed, end-to-end processes, because I wasn't really involved in the automation of the finance processes, but from what I've heard, it can be done. The development part takes a while because of the complexity. The creation of a bot or a process is not that straightforward. The workflow setup is quite complex. The methodology, compared to the other RPAs, is more like a flow chart kind of thing. They have used a different methodology. It's not so much a question of whether Jiffy can do it, but more of a question of whether the developers can do it. In theory, because…
AM
Managing Director, Business Transformation at a transportation company with 10,001+ employees
Real User
Top 10
The willingness to partner with us and understand our needs was key, as are the time and cost savings from automation

What is our primary use case?

We have a number of use cases. We've intentionally started with a focus in our finance controller organization as well as our supply chain organization. The bulk of our bots that have been deployed are in those two areas, doing a number of different business processes across those areas.

Pros and Cons

  • "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 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."

What other advice do I have?

Lean into Jiffy as a partner for their expertise and knowledge. Be respectful of the partnership and the relationships, and our experience has been that they will really jump in to help and be there for you. You have to be honest and you have to just make sure you've got good communication in place as you're working through things. We've definitely automated end-to-end business processes, but you have to find the right level of granularity where you can do it all. We haven't explored an end-to-end process for a major value stream within the company. But within large-grain, end-to-end…
HA
Head of RPA COE at a transportation company with 10,001+ employees
Real User
Top 5
You don't have to code; it is just drag and drop

What is our primary use case?

Our initial use cases are mainly for finance. We are doing account payable, accounts receivable, reconciliation, and those types of things with the automation. In terms of accounts payable, we automate the invoice processing since it is an end-to-end. This means that the vendor will send an invoice to email, which will be picked up by the bot automatically. Then, it will extract the information from the invoices and post it to our SAP. It is a web-based solution but hosted on our server.

Pros and Cons

  • "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 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."

What other advice do I have?

You have to be open to trying new things. There are certain things that if you are already used to other bigger players in the market, then there are things that you like and things that you don't like. However, even the things that you don't like, it is mostly because you are already used to the way the service player is doing it. Therefore, if someone is doing it differently, it could be actually better, though it may not feel like it. I think you will find it exceeds your expectations. Even with using humans, we have multiple redundancies to ensure there are no errors. The end results are…
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