What is AI Management System?
An AI management system is a set of policies, roles, procedures, and controls used to govern the lifecycle of AI systems within an organization. It is significant because it provides the organizational structure needed to assign accountability, manage risk, and demonstrate compliance with AI governance requirements.
In Depth
In practice, an AI management system brings together inventorying, risk assessment, approvals, testing, monitoring, incident handling, vendor oversight, and improvement processes for AI use cases. It is not just a technical control set; it is a management framework that defines who is responsible, what evidence is kept, and how decisions about AI systems are reviewed and escalated.
For compliance teams, this matters because it is often the backbone of defensible AI governance. ISO/IEC 42001 is the primary standard dedicated to AI management systems, and its structure is closely aligned with the control-based approach used in ISO 27001, while the EU AI Act also expects providers and deployers of certain systems to implement documented risk management, quality management, recordkeeping, and oversight processes that fit within a broader management system.
Related Frameworks
Related Topics
Related Terms
Weekly digest — coming soon
Leave your email to get the first issue when it ships. Free, no account required.
We use your email only for the digest. Privacy policy