Capabilities compound. Projects don't. Most organizations are still managing AI as projects, which is why one in three initiatives are abandoned before production at $4.2M each and why the ones that ship deliver a median ROI of negative 72%. Production at scale doesn't come from better tools. It comes from a capability that compounds across waves of technology, where each rotation of investment makes the next rotation faster.

Six years at AWS working with global systems integrators while co-authoring the Cloud Adoption Framework for AI. I kept seeing the same repeating pattern across hundreds of engagements. The bottleneck was almost never where the organization thought it was. That observation became the AI Capability Flywheel. Four stages (Govern, Structure, Build, Enforce) around a center that changes with each wave of technology, with maturity assessed per stage and the constraint identified as the lowest stage. In this talk you'll see how to run the diagnostic, where the next dollar of AI investment should go, and one engagement where uncovering the constraint changed the entire production curve.