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Less than 10% of AI pilots make it to enterprise-scale production. This panel explores what it takes to close that gap. Four leaders discuss real workflow-level AI deployments that are running at scale, the metrics that prove they work, and the structural barriers that keep most enterprises stuck. The conversation goes deep into outcome-based pricing, the Klarna cautionary tale, and what it takes to design human-in-the-loop properly. Highlights: — A UK retailer running AI across the full customer interaction workflow for 1,400+ employees — Healthcare denials management: 20% of claims denied, 60% never appealed, and how AI is recovering that value — "In the US, two or three large FSIs have about 300,000 agents plus" — more agents than employees — "Models don't drift suddenly. They drift gradually" — on responsible AI and governance — The three-people-in-a-room test for process legibility — Why "human in the loop verifying everything is really automation with extra steps" — Accounts payable going from human-processed to machine-processed after 30 years From the 7th Zinnov Private Equity + Tech Services Conference at the Harvard Club, New York. Panelists: Rohit Kapur, Chairman & CEO, EXL | BK Kalra, CEO, Genpact | Ritesh Idnani, CEO, FirstSource | Jacqueline O'Flanagan, Head of FS Americas, Microsoft Moderator: Vijay Kumar Hegde, Partner, Zinnov