The EU AI Act is well into its application phase in 2026, with growing obligations for high-risk AI systems. But there is a practical question that almost no one addresses : which management framework should you use to meet the AI Act? The answer is ISO/IEC 42001, the first international standard for artificial intelligence management systems (AIMS), published in December 2023. In this article I explain what ISO 42001 is, how it connects to the AI Act, what the PECB Lead Implementer course covers and why it is one of the most promising certifications between now and 2030.

The AI Act, in five minutes

Regulation (EU) 2024/1689, known as the AI Act, is the world's first comprehensive regulation of artificial intelligence. It entered into force in August 2024 and applies gradually until August 2026, when it becomes fully applicable to high-risk AI systems.

The AI Act classifies AI systems into four risk levels :

  • Unacceptable risk : outright prohibited (social scoring, cognitive manipulation, real-time biometric surveillance with exceptions).
  • High risk : permitted but subject to strict obligations (systems used in critical infrastructure, education, employment, essential services, law enforcement, border management and justice).
  • Limited risk : transparency obligations (chatbots, deepfakes).
  • Minimal risk : no specific obligations.

For high-risk systems, the obligations are very concrete : risk management, data quality, technical documentation, transparency, human oversight, robustness and, above all, a quality management system to govern the entire AI lifecycle.

The practical problem : the AI Act says what to do, but not how. With which framework do you demonstrate that you comply? This is where ISO/IEC 42001 comes in.

What ISO/IEC 42001 (AIMS) is

ISO/IEC 42001:2023, published in December 2023, is the first international standard that sets out the requirements for an artificial intelligence management system (AIMS). It is to AI what ISO 27001 is to information security or ISO 9001 to quality : a formal, auditable and certifiable framework.

The standard covers the entire lifecycle of AI systems : from design and development through deployment, monitoring, maintenance and decommissioning. And, like any good management-system standard, it follows the high-level structure (HLS) compatible with ISO 27001, ISO 9001 and ISO 22301, which makes integration easier.

How ISO 42001 helps you comply with the AI Act

This is the million-dollar question. ISO 42001 is not the AI Act, but the overlap is enormous. The standard covers, among other things, all of those requirements that the AI Act imposes on high-risk systems :

  • An AI risk management system.
  • Data quality management (especially training data).
  • Technical documentation and traceability.
  • Transparency and explainability of outputs.
  • Human oversight of the system.
  • Robustness and accuracy procedures.
  • A lifecycle quality management system.
  • Data governance.

Putting in place an AIMS aligned with ISO 42001 covers most of the AI Act's obligations. And, as with any certifiable standard, it gives you something the AI Act does not give you on its own : auditable, demonstrable evidence of your compliance.

In fact, the European Commission itself has indicated that harmonised standards (including ISO 42001) will be one of the preferred mechanisms for presuming conformity with the AI Act. If you operate in the high-risk space, 42001 will, in practice, become a market requirement.

The structure of the standard

ISO/IEC 42001 follows the high-level structure of ISO management systems. That means the same familiar high-level clauses for anyone coming from ISO 27001 :

  1. Scope, normative references and terms.
  2. Context of the organisation.
  3. Leadership and management commitment.
  4. Planning (objectives, AI risk management).
  5. Support (resources, competence, communication, documentation).
  6. Operation (AI lifecycle controls).
  7. Performance evaluation (internal audits, management review).
  8. Continual improvement.

In addition, the standard includes an Annex A with 38 controls specific to AI systems, organised into nine categories : policies, internal organisation, resources, impact assessment, lifecycle, data, information for third parties, responsible use and relationships with third parties.

What the Lead Implementer course covers

The PECB Certified ISO/IEC 42001 Lead Implementer course is an intensive five-day training that covers every aspect of implementing an AIMS. The programme :

  1. Fundamentals of AI and the regulatory context. AI concepts, the AI Act, ISO 42001 and other related standards (ISO/IEC 23894, ISO/IEC 22989).
  2. Planning the AIMS. Context, scope, policy, roles and responsibilities.
  3. Risk analysis and AI impact assessment. Methodology, practical cases.
  4. Implementing the Annex A controls. The 38 controls, one by one.
  5. Measurement, internal audit and certification preparation.

Who it is relevant for

ISO 42001 Lead Implementer suits several profiles :

  • GRC consultants who want to position themselves early in the AI governance market before it fills up with competitors.
  • Compliance officers or DPOs in organisations that already deploy, or plan to deploy, AI systems in their processes.
  • CISOs or security leads who see the convergence between security, privacy and AI and want to drive integrated management.
  • Data or ML professionals who want to step up towards governance, not just the technical models.
ISO/IEC 42001 will be to AI governance what ISO 27001 was in its day to information security : the de facto standard that the market will demand of any organisation that operates seriously with AI.

Training and getting certified

If you want to take the step towards official PECB certification, the ISO/IEC 42001 Lead Implementer course is the direct route : official PECB Self-Study so you can progress at your own pace and prepare for the certification exam.