AI Governance: Building an
AIMS under ISO 42001

AI governance is the set of policies, roles, processes, and oversight mechanisms an organization uses to develop, deploy, and use AI responsibly and accountably. It covers who is accountable for each AI system, how AI risks and impacts are assessed and treated, how data and models are governed across their lifecycle, how humans stay in the loop, and how the organization stays aligned with law and its own ethical principles. ISO/IEC 42001 is the international standard that makes AI governance a certifiable management system.

An AIMS is the ISO 42001 term for a structured, organization-wide system for governing AI — analogous to an ISMS for information security under ISO 27001. It is built on the Annex SL clauses (context, leadership, planning, support, operation, performance evaluation, improvement) and tailored with the Annex A controls. Because it shares the Annex SL backbone, an AIMS integrates cleanly with an existing ISO 27001 or ISO 27701 management system.

Start with visibility and ownership. Build an inventory of every AI system in use (including embedded foundation models and shadow AI), assign a named owner to each, and document its intended purpose and risk level. In parallel, issue a short AI policy signed by leadership and stand up a small cross-functional governance forum. From there, run AI risk and impact assessments and use the results to decide which ISO 42001 controls you need. Visibility first, controls second.

Keep it cross-functional and small enough to decide. A typical forum includes an executive sponsor who owns the AI policy, the owners of significant AI systems or products, risk and compliance, security, privacy or the Data Protection Officer, and legal. Bringing ethics or domain experts in for specific high-impact systems is good practice. The committee sets policy, reviews high-risk use cases and impact assessments, and signs off on the Statement of Applicability.

They are complementary. The OECD AI Principles and similar frameworks set the values — fairness, transparency, accountability, safety, human oversight. The NIST AI Risk Management Framework offers a voluntary, function-based approach (Govern, Map, Measure, Manage) for managing AI risk. ISO/IEC 42001 is the certifiable management-system standard that operationalizes those values and risk practices into auditable processes and controls. Many organizations reference NIST AI RMF and OECD for direction and certify to ISO 42001 for assurance.