AI Governance in Practice: Building Your Organisation's AI Policy Framework

Every organisation that uses AI tools — and most now do — needs a position on how those tools are governed. Yet most organisations have either no AI policy or one that was written quickly in response to pressure and has not been tested in practice.

This full-day session helps participants understand what good AI governance looks like and build the foundations of a framework for their own organisation. We work through five building blocks: policy architecture (what an AI policy needs to cover), risk appetite (how to calibrate tolerance for AI risk), roles and responsibilities (who is accountable), incident response (what to do when something goes wrong), and vendor oversight (how to assess the AI tools you procure or use).

The session is practical throughout. Rather than listening to presentations, participants apply each concept to realistic scenarios drawn from their own sector. By the end of the day, each participant has produced a governance canvas — a structured one-page summary of their organisation's AI governance position.

Designed for a wide audience: managers, employees who want to understand the framework they work within, compliance professionals, and professionals who want to demonstrate AI governance awareness. No technical background is required.

By the end of this training, the participant will be able to:

• Explain the key components of an AI governance framework in plain language
• Apply a risk-appetite framework to assess their organisation's current AI governance position
• Assign roles and responsibilities for AI governance across a typical organisational structure
• Produce a governance canvas summarising their organisation's AI governance position across five dimensions