Governance and speed are usually framed as a trade-off. At Ai4 2026, ModelOp CEO Dave Trier and Manulife's Head of Enterprise AI Validation and Governance, Shone Mousseiri, will argue the opposite: build governance into AI delivery and the safest path becomes the fastest one.
Their session, "The AI Factory: How Frictionless AI Governance Powers Faster, Safer AI Delivery," introduces an operating model for enterprises facing AI demand from every function. Instead of validating one use case at a time, the AI Factory turns delivery into a repeatable, pattern-driven system: research teams define reusable patterns and pre-approved building blocks, development teams adapt them to business needs, and validation runs quality control with feedback loops that improve every future build.
Mousseiri compares the discipline to a Formula 1 team — challenge every requirement, shave friction everywhere, but never cut a corner on safety or governance.
Session details
- What: The AI Factory: How Frictionless AI Governance Powers Faster, Safer AI Delivery
- When: Tuesday, August 4, 2026, 11:55 a.m.–12:15 p.m. PDT
- Track: Oversight: AI ROI
- Where: The Venetian Las Vegas — find us at Booth 1515, August 4–6
"Enterprises don't have an AI innovation problem anymore, they have an AI delivery problem," said Trier. "The companies that win will be those that can deliver AI into business usage repeatedly, safely and at scale. Governance and speed are not opposites. When governance is built into the delivery process instead of bolted on at the end, the safest way to build AI becomes the fastest way, too."
Ai4 caps a landmark year for ModelOp: the launch of the ModelOp AI Delivery Engine (MADE™), publication of the 2026 AI Governance Benchmark Report and its analysis of the emerging "AI Value Illusion," recognition as a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, and a partnership with Kong to enforce governance and policy at AI runtime.
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Gartner, Magic Quadrant for AI Governance Platforms, Lauren Kornutick, Sumit Agarwal, Priya Sundararaman, Nader Henein, Brandon Medford, June 2026.
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