AI Governance & Strategy
A 40-minute facilitated discussion on how destinations move from individuals experimenting with AI tools to an organisation with clear rules, accountability and standards. The room works through where the team sits on the AI integration path, how mature each component of the governance stack is, who owns each AI-related decision, where the team is heading over the next 12 months and what the single biggest thing stopping the move actually is. Five strategic inputs feed a take-home recap.
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Digital Tourism Think Tank
Where does the team sit on the AI integration path?
Five phases from awareness to AI-native strategy. Pick the phase that best describes the team today. This anchors the rest of the conversation: the governance, accountability, integration and blocker work all takes a different shape depending on the starting point.
Pick a phase to see what it means in practice.
The phases are not a ladder to climb at speed. Each phase has its own governance work, accountability questions and integration constraints. Picking the right one is the first input the recap engine reads from.
How mature is each component of the governance stack?
Five governance pillars. For each, set the maturity level: Missing, Partial or Formal. The pattern across the five reveals the governance shape — whether the team has a clear stack, an uneven stack, or no stack at all.
Set the maturity of each pillar to see the governance shape.
A picture of how the team has built (or not yet built) the components of its AI governance stack. The shape reveals where the team is well-governed, where the work is informal, and where the gaps that need closing actually sit.
Who owns each AI-related decision?
Five AI-related decisions. For each, pick the role pattern that owns the call: Unclear, Individual, Committee or Leadership. The mix of patterns reveals whether accountability is clear, distributed or unallocated.
Assign ownership to each decision to reveal the accountability pattern.
A picture of who actually owns each AI-related decision in the team. The pattern reveals whether accountability is clear or unallocated, distributed across individuals or concentrated in committees, and whether leadership is engaged or sitting outside the operational reality.
Where is the team today, and where does it want to be in 12 months?
A horizontal spectrum from AI alongside to AI native. Place two markers: where the team is now and where it wants to be 12 months from now. The gap between them is the strategic stretch.
Place both markers to reveal the strategic stretch.
The gap between the team's current position and its 12-month aspiration is the size of the strategic stretch. A small gap reads as steady incremental work. A large gap reads as transformational ambition that requires the rest of the governance stack to keep pace.
What is the single biggest thing stopping the move?
Five candidate blockers. Use the arrows to reorder them by priority. The top of the list becomes the priority signal that the recap engine reads from to surface the biggest unlock.
Reorder the blockers to set the priority signal for the recap.
The top of the list is the single biggest thing stopping the team from moving forward. The recap engine reads the top blocker as the priority signal and shapes the biggest-unlock recommendation around it. The other four are not unimportant; they are just sequenced behind the top.
Where the work goes next.
Three recommendations adapted to the inputs across Steps 01 to 05. Save the PDF to take the full reasoning back to the team. (Full recap engine activates once Steps 02 to 05 are built.)
A read of the team's current position.
Move through Steps 01 to 05 to see this card populate with a read on the team's current AI governance position, the strengths it carries and the gaps that need closing.
The single biggest move available.
The unlock card surfaces the one move that would shift the team's position most. It looks at where the team is now and where it would need to sit to keep AI investment defensible over the next twelve months.
Cadence for the next six months.
AI Governance & Strategy