Frameworks to Execution: Bringing AI POC to Life

Stop building AI pilots that never reach production. 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.

KEY WEBINAR TAKEAWAYS

• Why most community financial institution AI pilots stall in “pilot purgatory,” and the root causes that separate the proofs of concept that ship from the ones that die
• A walk through the full DeployReady framework, from AI Navigator to ScaleX, so you leave with a repeatable route rather than a one-off experiment
• How to qualify and value use cases before you build (AI Navigator, ValueLens, UseCaseIQ), and how to pilot with exit gates so you stop funding projects that will never scale
• How to deploy, govern, and scale AI in production (DeployIQ, TrustGuard, ScaleX): integration, model risk, validation, drift monitoring, and a business case your board will fund

BONUS MATERIALS

• DeployReady 8-Stage Framework map: a one-page reference you can pin to the wall, with the goal and key deliverables of each stage
• AI Use-Case Qualification & Value-Case scorecard: score opportunities on value and feasibility, and build a board-ready business case
• POC Charter template with exit gates: acceptance criteria and a clear kill-or-scale decision, plus an AI Project ROI calculator built on the three-layer value model
• Production-Readiness Checklist & Deployment RACI, spanning data, governance, integration, and monitoring, with a curated guide to the key studies and regulatory references

WEBINAR DETAILS

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.