Workshop toolkit
Workshop toolkit
Force the strategic choices that turn AI from a cost center into a competitive moat. A half-day sprint grounded in Lafley & Martin's Strategic Choice Cascade.
Five questions that don't allow vague ambitions. You can't say "we'll use AI everywhere" — you have to pick.
What does winning with AI look like for us? Not "use AI" but "win at [specific thing] using AI."
Which markets, customer segments, and value propositions give us a right to win with AI?
What competitive advantage does AI create? Cost leadership, differentiation, or decision superiority?
What skills, data, tools, and organizational muscle must be in place to win?
What structures, processes, and metrics sustain the strategy and prevent drift?
From preparation to post-sprint deliverables — a complete facilitator package.
Full run-of-show with scripted cascade questions, exercise instructions, "What Must Be True" technique, and strategy trap handling. Written for independent delivery.
FacilitatorStrategy Trap Diagnostic, AI Decision Inventory, competitive positioning input, and a reading brief on the Playing to Win framework.
Participant-facingLive session structure with six modules, cascade canvases, "What Must Be True" templates, timer, and pacing tools.
Live sessionDeliverable templates — AI Strategy on a Page, AI Decision Map, Strategy Trap Report, 30-Day Action Sprint, Competitive Positioning Brief.
DeliverablesThe cascade doesn't allow vague ambitions. You can't say "we'll use AI everywhere" — you have to pick specific markets, customer segments, and value propositions where AI gives you a right to win.
The executive team builds the strategy themselves. They leave the room with shared language, shared choices, and shared accountability. No 80-slide deck that sits on a shelf.
Most AI strategies are technology-first. Playing to Win flips it: what do we need to win in our chosen market, and how does AI enable that? The difference between AI as cost and AI as moat.
The "What Must Be True" reverse-engineering technique surfaces assumptions that could kill the strategy. Better to find those in a workshop than after a EUR 2M investment.
Every exercise is built on proven strategy and AI frameworks.