Governance framework
Our structured approach to assessing AI governance maturity and responsible deployment practices.
For boards and senior leadership
This framework underpins our assessment process and provides boards and stakeholders with evidence that AI governance is structured, accountable, and actively managed. Governance assessment provides structured evidence of governance maturity to boards, procurement teams, insurers, and stakeholders.
Assessment framework overview
AIGC Australia employs a comprehensive assessment framework informed by Australia's AI Ethics Principles and relevant governance guidance.
Our framework evaluates both the design of governance structures and their practical implementation, ensuring that organisations demonstrate genuine accountability and responsible AI deployment.
What this delivers
Procurement readiness
Evidence of governance maturity for tender responses and supplier assessments
Governance defensibility
Documented governance maturity in evolving regulatory environments
Board assurance
Independent validation of AI risk management for governance reporting
Government Framework Reference
AIGC's framework is developed with reference to Australian Government AI guidance. Where government guidance evolves, AIGC may update its methodology accordingly.
Guidance for AI Adoption (2025)Ethics Principles
All assessments reference Australia's foundational AI Ethics Principles.
View AI Ethics PrinciplesFramework objectives
- Provide transparent, consistent governance criteria
- Evaluate governance maturity across key dimensions
- Identify strengths and opportunities for improvement
- Support continuous improvement in AI governance practices
Assessment components
1. System documentation review
Evaluation of governance documentation relating to AI system purpose, capabilities, limitations, and deployment context, focusing on board-level visibility and oversight mechanisms.
Key evaluation areas:
- Documented system purpose, functionality, and use cases
- Governance oversight of data sources and processing methods
- Documentation of known limitations and constraints
- Stakeholder impact assessment and documentation
- Board-level visibility of system architecture and documented oversight controls
2. Risk and ethics assessment
Evaluation of governance processes for identifying, assessing, and managing risks associated with AI deployment, including ethical considerations informed by Australia's AI Ethics Principles.
Key evaluation areas:
- Documented risk identification and assessment processes
- Governance oversight of bias risk identification and mitigation processes
- Governance oversight of privacy and data protection measures
- Safety, security, and reliability governance frameworks
- Stakeholder impact assessment processes
- Ethical review and approval processes
3. Governance and accountability
Assessment of governance structures, accountability mechanisms, transparency practices, and processes for ongoing oversight and monitoring.
Key evaluation areas:
- Governance policies and frameworks
- Accountability structures and role definitions
- Transparency and explainability measures
- Monitoring and audit processes
- Incident response and remediation procedures
- Stakeholder engagement and feedback mechanisms
- Contestability and dispute resolution processes
4. Governance reference mapping
Evaluation of governance positioning relative to Australia's AI Ethics Principles, relevant industry guidance, and emerging governance frameworks.
Key evaluation areas:
- Governance positioning relative to AI Ethics Principles
- Governance processes for monitoring regulatory developments
- Industry-specific governance guidance and expectations
- International governance framework reference
5. Findings and recommendations
Detailed documentation of assessment findings, identification of strengths and areas for improvement, and practical recommendations for enhancing governance maturity.
Report contents:
- Executive summary of key findings
- Detailed assessment results by component
- Identified governance strengths
- Areas requiring attention or enhancement
- Actionable recommendations for improvement
6. Assessment outcome
Independent determination of governance maturity based solely on objective evaluation against established AIGC governance criteria.
Outcome levels:
- Maturity level awarded: Organisation meets assessment criteria and receives formal recognition of governance maturity
- Conditional maturity level: Minor gaps identified; maturity level awarded subject to specific remediation actions
- Additional review recommended: Significant gaps require attention before a maturity level can be awarded; reassessment available after remediation
Assessment principles
Independence
All assessments are conducted independently, free from commercial influence or conflicts of interest.
Objectivity
Assessment outcomes are based solely on objective evaluation against established governance criteria.
Transparency
Clear communication of assessment criteria, processes, findings, and assessment outcomes.
Consistency
Structured framework ensures consistent assessment approach across all organisations.
Ready to begin assessment?
Contact us to discuss how our governance framework applies to your organisation's AI systems.
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