What an AI governance committee actually does
Who sits on it, what it decides, and how often it should meet. A practical starting point for teams adopting AI.
2026-10-30 · 5 min read
Most organisations already use AI somewhere: a chatbot on the website, a writing assistant in marketing, a scoring model in operations. What's often missing is a group of people who own the question should we, and how?
Who should sit on it
Keep it small and cross-functional. A typical committee has a chair from leadership, someone from legal or risk, someone who understands the data, a product or business owner, and an engineer who knows how the systems are built.
What it decides
- Which AI uses are allowed, which need conditions, and which are off the table
- Who approves a new AI system before it reaches customers
- What gets logged, for how long, and who can see it
- How issues are reported and escalated
How often it meets
Monthly is enough for most teams at the start, with an agreed fast path for urgent decisions. The rhythm matters less than having a written record of what was decided and why.
Where to start
Begin with an honest inventory of where AI is already used. You can't govern what you can't see. From there, a short framework and role-based training go further than a long policy no one reads.
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