01 · LEADERSHIP
Start with the decision that needs to change
AI strategy becomes useful when it clarifies who must decide what, with which evidence, under which constraints.
The practical test: Can the team name the decision, owner, and next 90 days?
Explore Start
02 · ADOPTION
Fluency is more than prompting
Dependable AI use requires task framing, context, review, escalation, and a shared sense of what good looks like.
The practical test: Can people repeat the workflow and explain how they checked the result?
Explore Learn
03 · OPPORTUNITY SELECTION
Start with the workflow, not the model
A useful build begins with the work: the handoffs, information, failure modes, owner, and measurable result.
The practical test: Is the workflow bounded, repeated, measurable, and safe enough to test?
Explore Build
04 · GOVERNANCE
Put guardrails where decisions happen
Useful governance shows up in the workflow: approved data, human review, escalation, evidence, and a real pause decision.
The practical test: Can the owner explain the limits and act when the system fails?
Explore the Trust Center
