What is an AI Management System (AIMS)?

The concept

A management system is the set of interrelated elements, policies, processes, roles, procedures, and controls, that an organisation uses to achieve objectives in a defined domain. You probably already have several: a Quality Management System (ISO 9001) manages product quality; an Information Security Management System (ISO 27001) manages information security; an Environmental Management System (ISO 14001) manages environmental performance.

An AI Management System (AIMS) manages how the organisation develops, provides, and uses AI systems responsibly. It's the structural layer between the organisation's overall governance and the individual AI systems it operates.

What an AIMS contains

A well-formed AIMS has seven structural elements, the same elements as other modern ISO management systems, following the "Annex SL" structure:

• Context, understanding what the organisation is, who the interested parties are, what scope the AIMS covers.
• Leadership, top management commitment, an AI policy, roles and responsibilities.
• Planning, AI risks and opportunities, AI risk assessment and treatment, AI system impact assessment, AI objectives.
• Support, resources, competence, awareness, communication, documented information.
• Operation, operational processes, AI system lifecycle, data management, supplier and customer relationships, incident response.
• Performance evaluation, monitoring, measurement, internal audit, management review.
• Improvement, continual improvement, nonconformity and corrective action.

Why an AIMS is better than ad-hoc governance

• Explicit scope, you know which AI systems are governed and which aren't, and you can defend both.
• Documented methodology, risk decisions are repeatable, not one-off.
• Owned responsibilities, every AI system has an owner, every risk has an owner, every control has an owner.
• Operating cadence, reviews happen on schedule; nothing falls through the cracks.
• Auditable, external stakeholders (customers, regulators, investors) can assess the system.
• Certifiable, under ISO/IEC 42001:2023, the AIMS can be externally audited and certified.

How ISO 42001 relates to an AIMS

ISO/IEC 42001:2023 is the international standard specifying AIMS requirements. It was published by ISO and IEC in December 2023 and is the only certifiable international AIMS standard in existence. Organisations implement ISO 42001 to have a defensible AIMS; they pursue certification to have that AIMS externally validated.

Other frameworks, the NIST AI RMF, OECD AI Principles, EU AI Act compliance programmes, inform AIMS design but are not themselves AIMS standards.

Sizing an AIMS

The same structural elements scale from a five-person startup to a hundred-thousand-person multinational. The difference is depth, how many artefacts, how much automation, how many people in each role. A small organisation with three AI systems might have a 25-document AIMS run by a two-person compliance team. A large enterprise might have 200+ documents run by a dedicated AI governance function reporting to the board.

Our three toolkit tiers reflect this scaling: Starter for lean implementations, Professional for certification-bound mid-size organisations, Audit-Ready for the final preparation phase.

The simplest description

An AIMS is the organisational scaffolding for responsible AI. ISO 42001 is the standard that tells you what the scaffolding should look like and lets you certify that yours does.