Govern · 6 min read ·
What ISO/IEC 42001 readiness involves, and what it doesn't
What ISO/IEC 42001 AI management system readiness covers, how certification actually happens, and the misunderstandings to avoid.
ISO/IEC 42001:2023, adopted in Australia as AS ISO/IEC 42001:2023, specifies requirements for establishing, implementing, maintaining and continually improving an AI management system (AIMS). It applies to organisations that develop, provide or use AI.
What readiness work covers
Readiness means designing and operating the management system well enough that an accredited auditor can assess it. In practice that includes:
- Scope and applicability: which AI systems, business units and stakeholders are in scope.
- Policy, objectives and roles: an AI policy, governance charter and accountable owners.
- An AI system inventory: systems, owners, suppliers, models, datasets and integrations.
- Risk and impact processes: AI risk assessment and treatment, and AI system impact assessment.
- Controls: for data, models, providers, prompts, agents and third-party dependencies.
- Operations: monitoring, incidents, recordkeeping and corrective action.
- Evidence: an evidence register, internal evaluation and management review.
What it doesn’t include
Certification is issued by an accredited certification body, not by the organisation that helped you implement the system. A readiness partner can prepare you for audit. It cannot certify you.
Similarly, mapping your controls to ISO/IEC 42001, NIST AI RMF or Australian guidance is interpretive work. It is useful, but it is not a guarantee of compliance or a one-to-one equivalence between frameworks.
Complementary frameworks
ISO/IEC 42001 rarely stands alone. Useful companions include:
- NIST AI RMF 1.0 and its Generative AI Profile, organised around GOVERN, MAP, MEASURE and MANAGE.
- ISO/IEC 23894 for AI risk management and ISO/IEC 42005 for AI system impact assessment.
- Australian Essential AI practices, the Australian Government’s guidance for AI adoption.
Engineering evidence is governance evidence
The strongest AIMS evidence often comes from engineering: threat models, prompt-injection test results, retrieval access checks, agent audit logs and evaluation records. Connecting technical work to governance requirements avoids building the same evidence twice.
