ISO 42001
Artificial Intelligence Management Systems
ISO 42001 Certification provides organisations with a structured framework for governing Artificial Intelligence Management Systems responsibly, transparently and in line with emerging global regulation.
ISO 42001 Certification
What Is ISO/IEC 42001?
ISO/IEC 42001 is the world’s first international standard for Artificial Intelligence Management Systems. Published jointly by the International Organisation for Standardisation and the International Electrotechnical Commission, it establishes a formal management system for organisations that develop, provide or use AI systems.
ISO 42001 Certification confirms that an organisation has established, implemented, maintained and continues to improve a structured approach to AI governance. Rather than solely focusing on just the technical design of AI models, the standard also covers AI governance, risk management, transparency, accountability and ethical oversight.
At a Glance
International standard for Artificial Intelligence Management Systems
Strengthens AI risk management and regulatory readiness
Our ISO 42001 specialists provide expert support for implementation and certification
Artificial Intelligence Management Systems
Who is ISO 42001 for?
ISO 42001 applies to:
- Organisations developing AI systems
- Organisations deploying or integrating AI tools
- Providers of AI-based products or services
- Public sector bodies using AI in decision-making
- Any organisation seeking structured and auditable AI governance
It is sector neutral and scalable, meaning it can be adopted by SMEs, multinational enterprises, government departments and technology providers alike. Organisations pursuing certification are demonstrating that responsible AI governance is embedded within their operations.
Benefits of ISO 42001 Certification
Why Organisations Are Adopting ISO 42001
ISO 42001 Certification provides a structured and internationally recognised framework for governing Artificial Intelligence Management Systems. It helps organisations manage AI risk, prepare for emerging regulation and demonstrate responsible oversight of AI technologies.
Responsible AI Governance
Provides independent assurance that AI systems are documented, monitored and subject to continual improvement.
Regulatory Readiness
Aligns governance with evolving frameworks such as the EU AI Act, supporting proactive compliance.
AI Risk Governance
Formalises impact assessment, monitoring and incident response across the AI lifecycle.
Commercial Confidence
Strengthens credibility in procurement, tendering and stakeholder relationships.
AI Risk Management and Governance
What Does ISO 42001 Cover?
The standard addresses key governance areas including:
- AI risk assessment and impact analysis
- AI policy development
- Roles, responsibilities and accountability
- Data governance and lifecycle management
- Transparency and explainability
- Human oversight and intervention controls
- Monitoring, evaluation and continual improvement
- Incident management and corrective action
It also includes specific Annex A controls covering areas such as bias mitigation, system robustness, data quality, third-party AI systems and AI lifecycle management.
Why ISO 42001 Was Introduced?
ISO 42001 was developed to provide organisations with a structured and internationally recognised way to manage AI-related risks responsibly whilst still enabling innovation.
Artificial intelligence presents significant opportunities but also introduces complex risks. These include algorithmic bias and discrimination, lack of transparency in automated decision-making, data misuse and privacy concerns, security vulnerabilities, and unintended societal impacts.
ISO 42001 Certification and EU AI Act Compliance
Preparing for Regulatory Change
Artificial intelligence regulation is moving quickly. The EU AI Act came into force on 1 August 2024, with full enforcement scheduled for 2 August 2027, and other countries, including the UK, are developing their own approaches to AI governance.
Although ISO 42001 Certification is voluntary, organisations that implement it now are putting the right structures in place before regulation tightens. The standard helps align AI governance with the EU AI Act, national AI frameworks, data protection requirements such as GDPR and sector-specific oversight expectations.
Certification demonstrates that an organisation has taken a structured and auditable approach to managing AI. Instead of waiting for new requirements and then reacting to them, ISO 42001 allows organisations to prepare in advance and move forward with greater clarity and confidence.
Where to Go From Here
If your organisation develops, deploys or relies on AI systems, now is the time to ensure your governance framework is robust, transparent and future ready.
Our ISO 42001 specialists can guide you through gap analysis, implementation and certification with a practical, business-focused approach that aligns responsible AI with your strategic objectives.
Contact us to discuss how we can help you build trust, reduce risk and achieve ISO 42001 Certification with confidence.
Contact Us
Frequently Asked Questions About ISO 42001 Certification
Is ISO 42001 mandatory?
No. ISO 42001 is a voluntary international standard. However, certification will likely become a commercial necessity in sectors where AI governance is expected by regulators, clients or procurement frameworks.
Can organisations be certified to ISO 42001?
Yes. Organisations can undergo third-party certification by an accredited certification body. Certification confirms that the AI Management System meets the requirements of ISO 42001.
How long does ISO 42001 implementation take?
For organisations with established ISO frameworks, implementation of ISO 42001 will take a couple months. For organisations starting from scratch, it will take longer because the implementation time varies depending on your:
- Organisational size
- AI maturity level and your organisations level of control within the AI development
- Existing management systems
- The complexity of the AI use cases
Can ISO 42001 be integrated with other ISO standards?
Yes. ISO 42001 follows the harmonised Annex SL structure used by standards such as ISO 9001, ISO 14001, ISO 27001, ISO 27701, ISO 22301 and ISO 45001.
This allows Artificial Intelligence Management Systems to integrate smoothly with existing management frameworks, reducing duplication and simplifying governance across the organisation.
Does ISO 42001 apply to AI users as well as developers?
Yes, it applies to both. Organisations that develop AI systems and those that deploy third-party AI tools must both manage risks, oversight and governance responsibilities when it comes to the use of AI. Any type of organisation that uses or interacts with AI should ideally be ISO 42001 compliant. Outside of just AI Users and AI Developers, there are also AI Producers (different from Developers), AI Implementors, AI Service Providers and more.
What is an AI management system?
An AI Management System is a structured framework of policies, processes and controls designed to ensure AI systems are developed and used responsibly. It includes risk assessment, monitoring mechanisms, accountability structures and continual improvement processes.
How does ISO 42001 differ from the EU AI Act?
The EU AI Act is legislation. ISO 42001 is a management system standard.
While the EU AI Act sets legal obligations, ISO 42001 provides a governance framework that helps organisations demonstrate structured compliance and effective AI risk management.
What are the Annex A controls?
Annex A provides a total of 38 controls that cover the following aspects of your business. Much like ISO 27001 these controls all need to be addressed as part of your compliance though you can exclude specific controls with the right justifications.
The 38 controls are split across the following major sections:
- A2 – Policies Related to AI
- A3 – Internal Organisation (Roles, Responsibilities and Reporting)
- A4 – Resources for AI Systems (Data Sources, Tooling, Capabilities)
- A5 – Assessing Impacts of AI Systems (Risks, Impact Assessments, Societal Costs)
- A6 – AI System Lifecycle (Performance Management & Responsible Design & Development)
- A7 – Data for AI Systems (Data Provenance, Quality of Data, Acquisition & Preparation)
- A8 – Information for Interested Parties of AI Systems (External Reporting, Documentation, Communication)
- A9 – Use of AI Systems (Processes in place, Intended Use, Management Objectives)
- A10 – Third-Party and Customer Relationships (Allocating Responsibilities, Communicating the Use of AI to interested parties, Customer Expectations, Supplier Management)