GovernanceCore
Foundations

AI management system

AIMS

Working definition

Reviewed 30 July 2026

An AI management system is the set of interrelated organizational elements used to establish AI policies and objectives and the processes needed to achieve them. It provides a repeatable operating structure for responsible development, provision, and use of AI.

Context

Why it matters

A management system joins leadership, risk treatment, documentation, assurance, and improvement into one auditable cycle.

Operating note

What this looks like in practice

  1. 01Set scope, policy, objectives, roles, and measurable control outcomes.
  2. 02Integrate AI controls with existing privacy, security, quality, and enterprise-risk systems.
  3. 03Use audits, incidents, monitoring, and management review to drive continual improvement.

Sources & further research

Primary authority anchors the definition. Research links add conceptual or operational depth. External sources may update independently; always verify legal duties against the current official text.

  1. Standard

    ISO/IEC 42001:2023 — Information technology — Artificial intelligence — Management system

    The first international management-system standard dedicated to AI.

    ISO
    2023    Open source ↗
  2. Official source

    Artificial Intelligence Risk Management Framework 1.0

    A voluntary risk framework organized around Govern, Map, Measure, and Manage.

    NIST
    2023    Open source ↗