Scope & context
Define the AIMS boundary, interested parties, AI use and the existing management environment.
- AIMS scope
- AI inventory
- Context and interested parties
Build an Artificial Intelligence Management System from scope and governance through controls, evidence, internal review and certification readiness.
ISO/IEC 42001 sets requirements for establishing, implementing, maintaining and improving an AI Management System (AIMS). This page covers scope, risk and impact assessment, controls, internal audit and management review.
Define the AIMS boundary, interested parties, AI use and the existing management environment.
Set policy, responsibilities, risk methods and impact assessment processes around organisational objectives.
Implement controls, supplier requirements, literacy, monitoring and incident processes with accountable owners.
Organise evidence, test operation and prepare management review and internal audit without confusing advisory work with certification.
Create the first reliable view of AI use, management-system maturity and priorities.
Prepare governance, controls and evidence for an eventual independent external assessment.
Establish an Artificial Intelligence Management System and put its governance processes into operation.
Maintain and improve the AIMS as AI use, suppliers and obligations change.
Internal audit and management review test evidence from the operating system. Formal certification is performed independently and does not automatically establish EU AI Act compliance.
The first discussion defines the objective, scope and expected outputs.
Discuss the work