Enterprise AI Copilots: From Pilot to Production in Regulated Finance

A copilot pilot that impresses in a controlled demo faces a different set of problems in production: inference that has to stay on-premises for residency, orchestration across core systems, an evaluation harness that catches regression, and an operating model that owns the thing after go-live.

This case study walks through how one regulated institution moved from pilot to production — the architecture decisions, the governance controls that let risk and legal sign off, and the adoption programme that took real usage past the pilot ceiling.

The takeaway: the demo is the easy 20%. The operating model, evaluation discipline and governance are what convert it into measured P&L impact.