The AI Governance Assurance Framework (AGAF™)
The AGAF™ is AzureIQ's proprietary AI Governance and Assurance methodology, a structured, evidence-based framework that assesses AI governance maturity across 7 domains and 5 maturity levels from L1 Ad Hoc to L5 Optimised.
Every assessment follows a six-phase process including reviews, stakeholder interviews, evidence testing and domain scoring producing a maturity scorecard, risk heat map and prioritised uplift roadmap.
Underpinned by AS ISO 42001 and mapped to a certification pathway via SAI Global, Australia's only JASANZ-accredited ISO 42001 certifier, the AGAF™ gives boards a clear, auditable picture of where they stand and exactly what to do next.
The 7 Framework Pillars
01
Governance
02
03
Clear ownership, defined accountability, active board oversight. Without it, nobody is responsible when AI goes wrong.
Risk
AI risks that aren't in your risk register don't get managed. We assess whether your framework has kept pace with your AI exposure.
Compliance
Privacy Act, sector regulators, mandatory Australian AI Standards. We map what applies, what's missing and what's coming.
04
05
06
Delivery
AI projects need governance from approval to go-live. We assess whether the controls exist before problems do.
Assurance
Your board needs evidence, not reassurance. We assess whether independent assurance over your AI controls actually exists.
Monitoring
Deployed doesn't mean governed. We assess whether your AI systems are actively monitored for drift, bias and emerging risk.
07
Ungoverned data produces ungoverned outcomes. We assess whether the data behind your AI is inventoried, traceable and controlled.