AI GOVERNANCE WORKSHOP EXAMPLE

A practical AI governance workshop example for leaders who need guardrails.

This example shows how a team can move from policy anxiety to usable AI rules: approved uses, restricted data, review gates, ownership, and escalation.

How this helps leaders

  • Why this matters now
  • How to start
  • Recommended next steps

Designed around practical business outcomes

Situation

AI usage was expanding faster than shared policy language.

Workshop output

Risk tiers, data boundaries, human review rules, and pilot approval paths.

Business value

Teams could move forward with clearer permission and less unmanaged shadow AI.


Example flow

  1. Inventory current and likely AI use.
  2. Separate low-risk assistance from sensitive or high-impact workflows.
  3. Define approved, restricted, and prohibited use cases.
  4. Assign review gates and owners.

Related AI strategy paths


Ready to turn AI interest into an operating path?

Start with a focused conversation about strategy, readiness, governance, agents, speaking, or implementation.