AI Governance Assessment Process.
Start with a bounded review of the AI tools, information and decisions that matter to your business. The AI Governance Risk Snapshot provides a practical first step; broader assessments are scoped separately.
Explore the Risk Snapshot →What the assessment covers.
AI inventory and use case mapping
We identify the AI tools and use cases within the agreed scope, including relevant commercial tools and embedded features.
Risk classification
Each in-scope AI use case is classified by the data it handles, the decisions it influences, and the obligations it may trigger.
Security posture review
We assess how AI systems handle data: where it goes, who accesses it, what controls are in place, and what gaps exist.
Governance gap analysis
Your current posture is evaluated against AI.gov.au's essential AI practices, the NIST AI Risk Management Framework, ISO/IEC 42001, and relevant Privacy Act obligations.
Board-ready report and roadmap
A professional report with risk ratings, key findings, and a prioritised action plan. Written for decision-makers, not technologists.
How the engagement works.
Scoping
A short initial conversation to understand your organisation, AI usage, and governance concerns. No cost, no obligation.
Discovery
We work with your team to map your AI landscape through stakeholder interviews, technology review, and data-flow documentation.
Assessment
AI systems and use cases are evaluated against security, privacy, bias, and governance criteria. Risks and gaps are documented.
Report and handover
You receive a board-ready report, risk ratings, and prioritised roadmap. We walk your leadership team through the findings.
What you walk away with.
- Inventory of AI systems within the agreed scope
- Risk classification of each in-scope use case
- Clear view of security and privacy gaps in your AI systems
- Governance gap analysis mapped to recognised guidance
- Prioritised action plan your team can execute
- Leadership summary of evidence, limitations and next actions
Reference frameworks, not vendor partnerships.
Our assessments are independent. Frameworks are used to make the work traceable and defensible.
AI.gov.au essential AI practices
NIST AI Risk Management Framework (AI RMF)
ISO/IEC 42001 (AI Management System Standard)
Australian Privacy Act 1988 automated decision-making obligations
Australian AI Ethics Principles