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Over the last year, it feels like the conversation around AI in finance has shifted. Less about big promises and more about very specific, narrow use cases like reconciliation, document extraction, and close automation.
In our circles, people seem to be adopting tools like Collatio Accounts Reconciliation software not because of “AI strategy,” but because they are tired of manual matching and exception handling during close. It feels more like workflow plumbing than innovation theatre.
Curious how others see this trend:
In our circles, people seem to be adopting tools like Collatio Accounts Reconciliation software not because of “AI strategy,” but because they are tired of manual matching and exception handling during close. It feels more like workflow plumbing than innovation theatre.
Curious how others see this trend:
- Are you seeing AI adoption driven more by practical pain points now?
- Which finance or ops workflows do you think are most likely to be automated next?
- Do you think this narrow adoption path is healthier for the industry?