AI Governance Frameworks
Practical frameworks for governing AI with greater visibility, accountability and control.
Stratify's AI Governance frameworks help organisations establish clear ownership, proportionate controls, human oversight, monitoring and response as AI adoption scales.
The Stratify AI Governance Control System
A practical seven-step framework for creating visibility, accountability and control as AI adoption scales.
VISIBILITY → OWNERSHIP → CLASSIFICATION → AUTHORITY → CONTROL → MONITORING → RESPONSE
7 Steps to Stronger AI Governance
See it. Own it. Classify it. Define authority. Control it. Monitor it. Respond to it.
This turns AI governance from policy on paper into an operating system for controlled, accountable AI adoption.
Visibility — Know which material AI systems, tools and agents exist.
Ownership — Define who owns AI outcomes and responsibilities.
Classification — Assess AI according to its potential risk and impact.
Authority — Define who can approve, override, restrict or stop AI.
Control — Apply appropriate policies, permissions and safeguards.
Monitoring — Understand whether AI continues to operate as intended.
Response — Know what happens when something changes or goes wrong.
From knowing what AI exists across your organisation to responding when something goes wrong, these seven steps create a practical system for governing AI as adoption scales.