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There is a lot of noise around AI in finance, but one area where adoption seems practical rather than experimental is financial spreading. It sits at the intersection of document processing, data normalisation, and analytics, which makes it a good test case for how useful AI really is in day-to-day operations.
From what I’m seeing, the value is less about replacing analysts and more about handling the repetitive preparation work so humans can focus on interpretation and decision-making. Tools like Collatio Financial Spreading software are being used in this context as part of a broader enterprise AI stack, not as standalone “AI products.”
From an industry perspective:
From what I’m seeing, the value is less about replacing analysts and more about handling the repetitive preparation work so humans can focus on interpretation and decision-making. Tools like Collatio Financial Spreading software are being used in this context as part of a broader enterprise AI stack, not as standalone “AI products.”
From an industry perspective:
- Do you think financial spreading is a good signal of where AI creates real business value?
- Are there other finance workflows where adoption is following a similar pattern?
- What would need to change for this kind of AI use to become mainstream across enterprises?