Circular diagram outlining four stages of AI adoption and the evidence that matters at every stage.

Assess: Leadership group meets with risk partners to evaluate readiness signals, business use case, brand guardrails, and safe-to-learn criteria using an imperative anchor of co-sponsorship from day one and engaging risk at design. If met, move to pilot. If not met, identify gaps, assign owners, and set a timeline to reassess.

Pilot: Leadership group meets with risk partners to evaluate performance gains, brand integrity, safety checks, and provenance, making ownership explicit and defining evidence gates up front. If met, move to adopt. If not met, extend pilot with specific remediation targets and exit if fundamentals fail.

Adoption: Leadership group with executive review evaluates sustained outcomes, training readiness, and governance integration using an imperative anchor to translate outcomes across functions through a shared KPI bridge. If met, move to adopt. If not met, return to pilot phase and proceed with documented risk acceptance.

Monitor: Leadership group with quarterly review monitors stability, transparency, and emerging risks, maintaining momentum through standard processes and artifacts. If met, scale to new use cases. If not met, surface issues in governance and pause expansion.