01 · Direction
Do we know which outcomes AI should move — and what we will stop doing?
Moves Business valueCustomer value
Capacity goes to what customers and the business notice, not to scattered pilots. Signal: Share of AI initiatives with a stated outcome. Initiatives that get stopped.
- AI initiatives are funded as experiments and never connected to a business goal.
- Success is measured in adoption numbers, not in customer or business results.
- Everything is a priority, so the portfolio spreads thin.
- Express every AI initiative as an outcome hypothesis with a measurable signal
- Map opportunities along the value stream, from customer need to revenue or cost
- Create a small, visible AI portfolio with explicit stop and scale criteria
- — Without a clear "why", leaders cannot prioritize learning time and people don’t know what good looks like.
- — Workflows get redesigned around the loudest tool instead of the most valuable outcome.
- — Governance without a value case becomes pure cost control — and says no to everything.
What if we only improved this?
You get a sharp strategy and a prioritized list — and teams that cannot execute it because workflows, skills and tooling haven’t moved. Strategy decks age fast.
