ISO/IEC 42001 — AI Management Systems
The world's first standard for responsible AI governance
ISO/IEC 42001 is the first international standard for AI Management Systems (AIMS). As AI adoption accelerates, demonstrate responsible, ethical, and trustworthy AI practices to customers, regulators, and investors.
ISO/IEC 42001:2023 establishes requirements for organisations that develop, provide, or use AI systems to implement and maintain an AI Management System (AIMS). It addresses the unique challenges AI presents — algorithmic transparency, bias, explainability, data quality, and accountability — within a structured management framework.
Governments and regulators worldwide are rapidly introducing AI governance requirements. The EU AI Act, Australia's AI Ethics Framework, and emerging New Zealand guidance all signal that responsible AI governance is becoming a compliance requirement, not just a best practice. ISO 42001 provides the globally recognised framework to demonstrate you meet these expectations proactively.
Who Needs It
Who Needs ISO 42001?
Companies building or deploying AI/ML models in products or internal operations
Organisations using AI for high-stakes decisions (lending, hiring, healthcare, security)
Technology vendors selling AI-powered products to enterprise or government customers
Businesses wanting to comply proactively with the EU AI Act and emerging AU/NZ AI regulations
Organisations already certified to ISO 27001 seeking to extend governance to AI systems
Companies seeking to differentiate on responsible AI in competitive markets
Key Requirements
What It Covers
AI Management System (AIMS) Scope
Define the boundaries of your AIMS, identifying which AI systems, use cases, and stakeholders fall within scope.
AI Risk Assessment
Identify and assess AI-specific risks including bias, fairness, transparency, accuracy, robustness, and security vulnerabilities.
AI Policy & Objectives
Establish an organisational AI policy with clear objectives aligned to responsible AI principles and stakeholder expectations.
Data Governance
Controls ensuring data used to train, validate, and operate AI systems is accurate, representative, and handled appropriately.
Human Oversight Controls
Mechanisms ensuring appropriate human oversight of AI decisions, particularly for high-impact or high-risk AI applications.
Transparency & Explainability
Processes to communicate AI system capabilities, limitations, and decision logic to affected stakeholders.
Incident & Bias Monitoring
Ongoing monitoring of AI system performance, bias detection, and incident management procedures for AI failures.
Business Value
Benefits of ISO 42001
Demonstrate responsible AI practices to enterprise customers, government, and regulators
Proactively prepare for the EU AI Act and emerging Australian/New Zealand AI regulations
Build customer confidence in AI-powered products through independent certification
Reduce reputational and legal risk from AI bias, errors, or unexplainable decisions
Establish governance structures that scale as your AI capabilities grow
Our Process
How We Help You Achieve It
AI Inventory
We catalogue all AI systems in use or development, assessing risk levels and stakeholder impacts.
Gap Assessment
We assess your current AI governance practices against ISO 42001 requirements.
AIMS Design
We design your AI management system scope, policy, and risk assessment methodology.
Control Implementation
We implement data governance, oversight, transparency, and monitoring controls.
Integration with ISO 27001
For certified organisations, we integrate AIMS with your existing ISMS for efficiency.
Certification Readiness
We prepare you for Stage 1 and Stage 2 audits with a chosen accredited certification body.
FAQ
Frequently Asked Questions
Ready to Start Your ISO 42001 Journey?
Begin with a free cybersecurity gap assessment to understand where you stand, then let our experts guide you to certification.