01
AIMS Scope
Define the AI management system boundary, applicable legal and ethical requirements, and stakeholder expectations.
Framework Overview
AI management system standard
ISO 42001 specifies requirements for an Artificial Intelligence Management System (AIMS). It provides a certifiable structure for responsible AI development, deployment, and governance—complementing security and privacy programs.
Who it's for: Organizations formalizing AI governance, pursuing AI-related certifications, or responding to enterprise AI due diligence.
How ISO 42001 breaks down across the program lifecycle.
01
Define the AI management system boundary, applicable legal and ethical requirements, and stakeholder expectations.
02
Assess AI-specific risks including bias, safety, transparency, and societal impact across the lifecycle.
03
Controls for data, model development, validation, deployment, monitoring, and retirement.
04
Ensure teams building and operating AI have defined responsibilities and appropriate skills.
05
Manage third-party models, training data provenance, and vendor AI commitments.
06
Prepare for external audit of the AIMS with evidence of operating effectiveness.
A visual overview of how we typically structure a ISO 42001 engagement—from discovery through audit-ready operations.
Not yet broadly mandatory, but early adopters use it to demonstrate structured AI governance to enterprise buyers and regulators.
NIST AI RMF provides flexible functions; ISO 42001 defines certifiable management system requirements. Many organizations map between them.
Yes, though most teams establish baseline security (often SOC 2 or ISO 27001) before or in parallel with AI-specific governance.
Book a free scoping call—we'll map your compliance goals, recommend the right engagement tier, and outline a clear path forward.