ISO 42001 AI Governance & Management System

Establish responsible AI governance with the world's first international standard for Artificial Intelligence Management Systems (AIMS). We guide organizations from AI risk awareness to ISO 42001 implementation and certification readiness.

The First International Standard for Responsible AI

ISO/IEC 42001:2023 is the world's first international standard for Artificial Intelligence Management Systems (AIMS). It provides a framework for organizations to develop, deploy and manage AI systems responsibly — balancing innovation with ethical governance and risk management.

As AI becomes central to business operations, regulators, customers and partners increasingly expect demonstrable AI governance. ISO 42001 provides the certifiable, auditable framework to meet that expectation.

Who needs it? Organizations developing, deploying or integrating AI systems — including technology companies, healthcare AI vendors, financial services, HR tech platforms and any regulated industry using AI for decision-making.

  • Provides governance for responsible AI development and deployment
  • Addresses AI-specific risks including bias, transparency and accountability
  • Demonstrates AI ethics commitment to regulators and customers
  • Aligns with EU AI Act, NIST AI RMF and other frameworks

What ISO 42001 Addresses

DomainDescription
AI PolicyOrganizational AI governance policy and objectives
AI Risk AssessmentIdentify and evaluate risks specific to AI systems
AI System LifecycleControls for development, validation, deployment and monitoring
Data GovernanceData quality, provenance and bias mitigation
Human OversightHuman review mechanisms and accountability structures
TransparencyExplainability, decision-making transparency and documentation
Continual ImprovementMonitoring, incident management and system updates

Our ISO 42001 Implementation Approach

Phase 1

AI Inventory & Context

Identify all AI systems in use, document their purpose, data inputs, decision outputs and organizational context.

Phase 2

AI Risk Assessment

Assess risks specific to each AI system — bias, transparency, security, privacy, accountability and societal impact.

Phase 3

Governance Framework

Design AI governance policies, roles and responsibilities, ethics review processes and accountability structures.

Phase 4

Controls & Procedures

Implement Annex A controls including data governance, human oversight, transparency mechanisms and incident management.

Phase 5

Awareness & Training

Build AI ethics and governance awareness across the organization. Train AI developers, product managers and leadership.

Phase 6

Audit Readiness

Internal AIMS audit, management review, corrective actions and certification audit preparation and support.

What's Included

  • AI system inventory and risk register
  • AI governance policy and organizational roles documentation
  • AIMS scope definition and Statement of Applicability
  • Data governance and bias mitigation framework
  • Human oversight and accountability procedures
  • AI incident response and monitoring procedures
  • Internal AIMS audit and evidence pack
  • Certification audit coordination and support

ISO 42001 + ISO 27001 + DPDPA

Organizations that combine ISO 42001 with ISO 27001 and DPDPA compliance achieve a comprehensive governance posture — security, privacy and AI ethics covered under an integrated framework.

  • ISO 42001 + ISO 27001 share ISMS governance structures — implementation efficiency is high
  • AI systems often process personal data — DPDPA and ISO 42001 requirements overlap significantly
  • Combined implementation reduces cost and effort vs separate programs
  • Stronger positioning for EU AI Act readiness and international markets
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Build Responsible AI Governance

ISO 42001 certification signals to your customers, regulators and partners that your AI systems are governed ethically and rigorously. Get ahead of the curve.