AI Governance Framework for Australian Organisations
Build a practical AI governance framework covering inventory, ownership, policy, risk, vendor controls, monitoring, and reporting.
An AI governance framework defines how AI use is approved, owned, controlled, reviewed, and evidenced across the organisation.
Practical controls before more AI rollout.
A framework should be usable
The best framework is one staff and leaders can actually follow. It should explain who owns AI risk, how use cases are approved, what evidence is kept, and how issues are escalated.
Core framework pillars
Summit Guard structures the framework around practical operating controls rather than abstract principles.
- AI inventory
- Risk classification
- Acceptable-use policy
- Data governance
- Vendor governance
- Human oversight
- Monitoring and review
- Incident response
- Leadership reporting
Align with recognised guidance
The framework can map to AI.gov.au essential practices, NIST AI RMF, ISO/IEC 42001, and relevant Australian privacy obligations. This helps the organisation explain its approach to clients, boards, and assurance reviewers.
Keep it current
AI governance is not a one-off document. Use cases, vendors, and data access change. The framework should include review cycles and a clear process for exceptions.
What you walk away with.
- Framework structure and control areas
- Roles and ownership model
- Approval and review workflow
- Policy and staff guidance inputs
- Risk register alignment
- Board reporting pack outline
Mapped to recognised guidance.
- AI.gov.au essential AI practices
- NIST AI RMF
- ISO/IEC 42001
- AS ISO/IEC 42001:2023
Common questions.
Does a smaller business need a full framework?
It needs enough structure to know what AI is in use, who owns it, what risks exist, and what rules staff must follow.
Can this work with existing risk processes?
Yes. The framework should connect with existing security, privacy, vendor, incident, and board reporting processes where possible.
Is ISO/IEC 42001 required?
No. It is a useful management-system reference, but not every organisation needs certification.
What is the first step?
Start with the AI inventory and risk classification. Framework detail should follow actual use cases.
Next useful pages.
Ready to make AI use visible and controlled?
Start with a short scoping conversation. We will confirm whether a formal assessment is the right next step.