AI Governance & Responsible AI
What does an AI governance framework need to contain?
AI governance defines who may approve an AI system, on what evidence, and what happens when one misbehaves. A workable framework covers accountability, risk tiering, human oversight, testing and monitoring, disclosure, and record keeping, all mapped to Australia's guardrails and to ISO/IEC 42001 where you need international consistency.
What you get
- AI governance operating model with named accountabilities
- Risk tiering method and approval gates
- Human oversight and escalation design
- Control mapping across the applicable standards
Who this is for
Chief Risk Officer, General Counsel, Head of Data & AI
Related services
Start with an assessment, not a proposal.
Tell us what you are building and what you are accountable for. If we are not the right people for it, we will say so and point you at who is.