AI success isn’t just about tools—it’s about how your organization governs and delivers them. Traditional IT models won’t work. AI requires a dynamic operating model that balances central control (for standards, risk, and reuse) with decentralized execution (for speed and relevance). Start by defining your strategic intent: are you scaling innovation across business lines, centralizing control, or both?

The Six Layers Framework™ helps leaders structure this operating model systemically:

• Layer 4 (Services): This is your organizational engine. Use it to define roles (e.g. AI product managers, assurance leads), delivery models (e.g. centralized center of excellence vs. embedded teams), and accountability structures.

• Layer 5 (Influence): Your operating model must earn internal trust. Communicate clearly who owns what, how AI projects are selected, and how success is measured. Narratives shape culture—and adoption.

• Layer 6 (The State): Especially in regulated environments, your internal governance should align with external expectations. Build operating models that are audit-ready, explainable, and policy-compliant from the start.

The Framework helps you design an operating model that reflects the full lifecycle of AI—from infrastructure to oversight—not just deployment. The result: faster scaling, fewer bottlenecks, and a foundation for responsible innovation.