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Sample AI strategies

Starting patterns for an institution's AI strategy, by type and by how far along you already are. Find your column, read the priorities for your stage, then open the full strategy for the actionable detail, concrete moves, the governance to stand up, 90-day wins, and what to watch. This is what to pursue; the adoption pathway is how you stand up the framework to deliver it.

Printable strategies brief (PDF-ready)

Your advantage is coordination, a small institution can align quickly and adopt one clear strategy. Your constraint is capacity: few specialized staff and little budget slack. Lead with embedded governance and a handful of high-trust practices rather than new bodies and tools.

NascentJust beginning

AI is already in classrooms and offices, but there's no vision and no front door.

Priority moves
  • Get a one-page AI vision adopted by cabinet, your coordination advantage means weeks, not months.
  • Name one person as the AI 'front door' and publish plain acceptable-use guidance keyed to your data classes.
Move on when leadership has adopted a vision and people know where to send questions.
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EmergingBuilding structure

A pilot or two are running and guidance exists, but it's ad hoc and lightly owned.

Priority moves
  • Add AI as a standing item on an existing committee, don't stand up a new body you can't staff.
  • Score new or contested initiatives through the Compass; leave routine use to the published guidance.
Move on when AI has a durable home in governance and one cycle of pilots has been reviewed.
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EstablishedScaling & sustaining

A small, working program exists, the real risk is that it depends on one or two people.

Priority moves
  • Harden against turnover: write down the lightest governance that holds and cross-train a second steward.
  • Reassess maturity yearly and move staff who use AI daily from awareness to competency.
Durable when the program survives a key person leaving and improvement runs on a calendar.
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