Track 01 · AI Governance
What does it take to run AI in a business without losing control of it?
Governed AI is AI deployed with five controls attached: clear ownership, permissioning, human approval gates on risky decisions, audit logging, and compliance instrumentation. Together they make the work AI does owned, reviewable, and reversible, instead of a black box you cannot see or turn off.
This track is the core of how we work. It moves from what governed AI actually means to the specific controls that make it safe: risk tiers, approval gates, audit trails, and finding the shadow AI already in your business.
The reading path
Start here, then this.
- Lesson Audit trails in practice
- Insight Keeping a human in the loop
- Template AI usage policy template
- Template Approval gate matrix
Common questions
Straight answers.
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Is AI governance the same as an AI policy?
No. A policy is a document. Governance is the set of live controls, ownership, permissioning, approval gates, audit logging, and compliance instrumentation, that make the policy real in the systems people actually use.
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Does governance slow AI down?
Done poorly it can. Done right it does the opposite: governance is what lets you put AI on work that actually matters, because the risk is scoped and reviewable instead of unknown.
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Where do most AI incidents actually come from?
Over-broad access, not clever attacks. A tool that only needs to draft emails gets write access to systems it never needed. Permissioning scoped to the job prevents most of it.
Ready to act on this?
The reading path is the self-serve version. When you want it applied to your own business, this is the next step.