AI Accountability Frameworks
Practical frameworks for creating clear ownership, authority and accountability as AI scales.
Stratify's AI Accountability frameworks help organisations establish clear ownership of AI outcomes, define decision authority and connect responsibilities across leadership, business and technology.
The Stratify AI Accountability Framework
A practical seven-step framework for ensuring every material AI outcome has clear human ownership and authority.
OUTCOME → OWNER → RESPONSIBILITY → AUTHORITY → ACTION → EVIDENCE → REVIEW
7 Steps to Stronger AI Accountability
Define the outcome. Name the owner. Clarify responsibility. Set authority. Assign action. Capture evidence. Review accountability.
Every material AI outcome needs a named human owner with sufficient authority to remain accountable for it.
Outcome — What business result is AI expected to deliver?
Owner — Who is ultimately accountable for that outcome?
Responsibility — Who needs to contribute to delivering and governing it?
Authority — Who can approve, change, override or stop AI activity?
Action — What needs to happen, and who is responsible for doing it?
Evidence — What demonstrates that responsibilities and controls are being fulfilled?
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.