Two-thirds of finance teams (67%) already run AI in accounts payable, and three-quarters call it essential to staying competitive. Adoption isn't the debate anymore. The real test is whether you can run AI with the kind of control you'd defend to an auditor.
That's the gap Forrester found. Over 60% of organizations have the AI guidelines, leadership backing, and risk frameworks in place, but only 46% say they're actually balancing governance and innovation well, and just 39% run a dedicated AI Center of Excellence. Strategy isn't the problem. Execution is.
This webinar unpacks the new Forrester Consulting Opportunity Snapshot, "From Experimentation to Execution: Governed Autonomy for AI in Accounts Payable," commissioned by Basware. Special guest, Forrester Principal Analyst Meng Liu, joins Basware's Anssi Ruokonen, Head of Data and AI, live to walk through what's driving the gap and how to close it.
Join to discover:
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The Forrester Opportunity Snapshot findings on AI adoption, compliance pressure, and ROI in AP, which surveyed 231 enterprise finance peers.
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Basware's read on why AP is harder to run than to start: compliance is deterministic where AI isn't, data governance is a trust call before it's a technical one, and too many teams build what they should buy.
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Governed Autonomy: A practical model for setting how far AI acts, with a human in the loop and an audit trail you can defend to your board.
