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1
Setting the boundaries
- Classify data into categories and make clear rules about what can and cannot be shared with AI tools.
- Provide concrete examples for each role: what a teacher can use AI for is different from what an admin assistant can.
- Publish a simple one-page guide that staff can reference quickly when they are unsure.
2
Choosing and approving tools
- Maintain a short list of approved AI tools with clear rationale for why each is permitted.
- Evaluate new tools against data residency, privacy terms, and integration requirements before allowing use.
- Provide a request process for staff who want to try new AI tools so innovation is encouraged safely.
3
Training and ongoing governance
- Run short, practical training sessions focused on real workflows rather than abstract AI concepts.
- Teach staff about limitations: hallucinations, confident-sounding errors, and the importance of human review.
- Review guardrails quarterly and update as tools evolve and your organisation's experience grows.