Frameworks to Execution: Bringing AI POC to Life

Turn promising proofs of concept into measurable business results with a proven deployment framework. This webinar will provide a practical roadmap to move AI initiatives from pilot to production by strengthening governance, demonstrating measurable value, and implementing the controls needed for successful deployment in a regulated financial institution.

Your institution is spending real money on AI, but the demos that impress in a conference room keep dying on the way to production. The pattern is well documented: pilots run on clean test data, governance shows up too late, integration with core systems stalls, and no one can point to the revenue or cost the project was supposed to move. In finance, only about a third of AI projects meet their ROI expectations, and the gap is widest in regulated institutions where the stakes are highest.

This session will replace one-off experiments with a repeatable path. Working through RegVizion's DeployReady framework, you will learn how to benchmark your readiness, quantify value before you build, select and scope the right use cases, pilot with discipline and clear exit gates, deploy into production with the controls examiners expect, and monitor and scale what works. You will leave with the framework, templates, and a concrete plan to turn your next proof of concept into a system that actually runs.

NOTE: All materials are subject to copyright. Transmission, retransmission, or republishing of any webinar to other institutions or those not employed by your institution is prohibited. Print materials may be copied for eligible participants only.