Dave Trier (ModelOp): Turning AI Policies into Workflows

Kevin Werbach speaks with Dave Trier, CEO of ModelOp, about what it takes to run AI governance at the scale of a Fortune 500 company. Trier explains how ModelOp turns corporate AI policies, often hundreds of pages, into automated workflows that guide each AI project through the right steps based on its risk tier, whether it faces customers, and where it runs. He explains why traditional governance, risk, and controls (GRC) approaches break down for non-deterministic AI. Trier points to an important driver of AI governance: rising token spend, which pushes executives to ask whether each AI system is worth what it costs. Agentic AI, he says, is what finally moved enterprises off spreadsheets and SharePoint for these management functions. Governing agents means layered controls, from defining what an agent may do, to limiting its access to tools and data, down to network-level enforcement that blocks unapproved traffic. Dave Trier is the Chief Executive Officer of ModelOp, which provides AI lifecycle management and governance software for Fortune 500 and Global 2000 enterprises. Before ModelOp, he was VP of Advanced Analytics Services at Teradata and Chief Technology Officer at Powered by Action. Transcript Dave Trier, A Visionary in AI Governance, Built for Industrialized AI Delivery ModelOp, 2026 AI Governance Benchmark Report