How are companies using AI to reduce manual finance work? Looking for real world experiences

I’ve been looking into how AI is reshaping finance workflows like invoice processing, approvals, and reconciliation. Many teams still rely on manual or rule-based systems, which can slow things down. Tools in this place, such as Vic ai and other AI driven platforms, Aim to learn from accounting patterns and reduce repetitive work.

Has anyone here tried AI or automation tools in their finance process?

  • Did it actually reduce manual effort?

  • Any challenges with accuracy, training, or integration?

  • Which platforms or approaches work best for you?

    Would love to hear real experience, positive or negative, As AI adoption in finance is evolving quickly

1 Like

Afaik payroll is now automated, no more manual errors and further rectifications.

Was this just plain automation or AI? In my experience the utility of AI in real world scenarios has been very underwhelming, especially in the enterprise segment where you need someone to pin the blame on for even the most miniscule actions.

As much as I would love the salary of the CEO at least for a month, why would payroll be put in the hands of AI. Its simple automation.

To OP : There is heaven and hell differemce between AI and Automation. I cringe when both are clubbed. Also as your first post, you may want to put in more effort unless you are a bot gathering data on usage of AI in finance.

1 Like

https://www.reddit.com/r/fintech/comments/1iewowi/how_is_ai_being_used_in_finances/

Covers lot of information in finance sector.

The above points are correct about a lot of it being the job of regular automation and not AI. However I’ve used AI specifically to do a great job at invoice OCR with a level of understanding that leads to impressive results. And anomaly/duplicate detection.

Of course generating report insights is a great use too.

Invoice automation with OCR is one which works for everyone - with each having a different format.