Canonical: https://www.strataigize.com/glossary/ai-governance/
Description: AI governance is the control system around AI in production: written scopes, hard bounds, logging, output checks, escalation paths, and named accountability.

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AI Automation

# AI governance.

Definition

## What it _means._

AI governance is the documented control system around AI in production: written scopes per automation, hard bounds on what runs alone, logging, output verification against baselines, escalation paths, and named human accountability. Frameworks like the NIST AI RMF structure it, and concrete practice beats aspirational policy.

Worked example

## In _practice._

Each agent in a fleet carries a written scope stating what it may touch and what needs a person. Runs are logged, outputs verified monthly against measured baselines, and any failure is fixed as a class with a guard, not patched as an instance. That paper trail is what an enterprise buyer’s review asks for.

Where this work happens: [Trust & Security](https://www.strataigize.com/trust/)

Related terms

-   [Human-in-the-loop](https://www.strataigize.com/glossary/human-in-the-loop/)
-   [AI agent](https://www.strataigize.com/glossary/ai-agent/)

## Put it in _context._

Bring your growth question to a free 30-minute consultation. We can work through what the numbers mean and which changes to consider.

[Book a growth consult →](https://www.strataigize.com/audit/)