The strategy trap
Expose why your current AI approach is not a real strategy. Most organizations fall into one of four traps that feel like strategy but lack the teeth to create competitive advantage.
Winning aspiration
Define what winning with AI looks like — not in vague terms, but as a statement sharp enough to guide every subsequent choice. A winning aspiration is not about being "good" at AI; it is about being the best at something specific for someone specific.
Where to play
Choose the specific markets, customer segments, and AI use cases where you will compete. Strategy is as much about where you will NOT play as where you will. This module forces explicit choices.
How to win
Define the competitive advantage that AI creates for you — one that competitors cannot easily copy. Use the Prediction Machines AI Canvas to map client decisions to prediction opportunities, then stress-test with the "What must be true" framework.
| Client Decision | Prediction Needed | Judgment Required | Data Input | Competitive Moat |
|---|---|---|---|---|
Capabilities & systems
Identify the capability gaps between where you are and where your strategy needs you to be, then design the management systems that will keep the strategy alive after this workshop ends.
| Capability | Current (1-5) | Required (1-5) | Gap | Priority action |
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Strategy on a page & sprint
Synthesize all five choices into a single, coherent strategy page. Then commit to specific 30-day actions that will begin testing and executing your strategy immediately. A strategy without action is just a slide deck.
| Action | Owner | Deadline | Success Metric |
|---|---|---|---|