Decide where AI should change the business.
Start with the outcome, not the technology. Find the right problems, qualify the opportunities, and invest where AI can create meaningful value.
A discipline.
Not an isolated workstream.
Strategy works best when it stays connected to the rest of the system. Use these field notes and frameworks to turn concepts into decisions, working agreements, and measurable progress.
A measurable baseline, a named beneficiary, and a credible benefit hypothesis.
Start with the fundamentals.
How to Prioritize an AI Use-Case Portfolio
Balance value, feasibility, readiness, and risk. Build a portfolio of testable opportunities rather than a ranked list of exciting ideas.
Measuring AI Value: Efficiency vs Efficacy
Distinguish doing the same work with fewer resources from making better decisions and achieving better outcomes.
AI Use Case Qualification Framework
Four lenses for deciding what deserves attention, what needs more evidence, and what should stop.
Explore the frameworkAn attractive use case is not automatically a deliverable one. Assess value, feasibility, readiness, and risk independently before committing investment.