My main use case for Vic.ai is the AI invoice processing to understand the vendor coding. Daily, invoices come through, and I understand what the amount is, what the prepaid portion is, what the amortization is, what the service date is, and all the details about the invoices.
Automated invoice processing has improved accuracy and provides real-time visibility
What is our primary use case?
How has it helped my organization?
Vic.ai has impacted my organization positively with accuracy. Vic.ai has made a positive impact by improving processes.
The process that has improved is the AP invoice process.
What is most valuable?
The best features that Vic.ai offers are real-time capabilities.
I find the integration with the accounting system to be the most valuable specific feature in Vic.ai. The integration with my accounting system helps me in my daily work as it provides real-time sync between the accounting system and Vic.ai, so I can understand the invoices immediately.
Regarding Vic.ai's AI capabilities, I believe its governance and security are very secure. I find Vic.ai's output to be very accurate regarding accuracy and reliability.
What needs improvement?
I believe Vic.ai can be improved in some ways, but there are no features I think are missing and nothing I wish it did better overall. It is good as it currently stands.
For how long have I used the solution?
I have been using Vic.ai for two years.
What other advice do I have?
On a scale of one to ten, I would rate Vic.ai overall a nine. I chose nine out of ten because that is the best number which I felt represented the product. I would definitely suggest Vic.ai to my peers.
Which deployment model are you using for this solution?
On-premises
