The CRA's 24-hour reporting duty has applied since 11 September 2026.

ISO 42001

The standard for managing AI.

Example data

ISO 42001 is voluntary and the AI Act is not; which operator you are decides how much of the Regulation's evidence the standard produces, and the free determination says whether your system is high-risk at all.

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Answer above to read the determination for your case; the full tool takes your answers with it.

Continue: is your system high-risk?

The full determination answers every question, and keeps the reading as a dated record for €29.

At a glance

38controls in Annex A
28clauses that carry requirements

The three-year certificate cycle

  1. Stage 1 audit
  2. Stage 2 audit
  3. Certificate
  4. Surveillance, year 1
  5. Surveillance, year 2
  6. Recertification, year 3

Every free template on one page

The AI Act's high-risk dates moved on 27 July 2026

Regulation (EU) 2026/1744, the Digital Omnibus on AI, applies the high-risk requirements from 2 December 2027 for Annex III systems and 2 August 2028 for Annex I systems, in place of the 2026 and 2027 dates of the original text. ISO 42001 gives the structure of the quality management system Article 17 asks a provider for, and the article below maps the 13 aspects of Article 17(1) to Annex A: 13 have a control behind them, 6 of those with something still to be written for the Regulation itself, and none of it is a presumption of conformity.

Is your system high-risk? The determination, free, in writingEN 18286 is cited under the AI Act and ISO 42001 is not: what that meansThe AI Act: the dates as amended, the tool, the articles

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What it asks of you

38 controls in 9 themes

  • Policies for AI

    3
    • A.2.2 A written policy for how this organization does AI
    • A.2.3 Making the AI policy agree with the policies you already have
    • A.2.4 Reviewing the AI policy on a schedule and when things change
  • Roles and internal governance

    2
    • A.3.2 Who is accountable for what in AI
    • A.3.3 A route for raising a concern about an AI system
  • Resources behind an AI system

    5
    • A.4.2 Writing down what each AI system depends on
    • A.4.3 The data an AI system needs, accounted for
    • A.4.4 The tools used to build and run AI systems

    and 2 more

  • Effects on people and society

    4
    • A.5.2 A defined process for assessing what an AI system does to people
    • A.5.3 Keeping the result of each impact assessment
    • A.5.4 Assessing harm to individuals and to groups of people

    and 1 more

  • The life of an AI system

    9
    • A.6.1.2 What responsible development means here, stated as objectives
    • A.6.1.3 Design and development processes that carry those objectives
    • A.6.2.2 Writing down what the AI system must do before building it

    and 6 more

  • Data used by AI systems

    5
    • A.7.2 Deciding what data may be used to build and improve a system
    • A.7.3 Knowing where data came from and on what terms
    • A.7.4 Whether the data is good enough for what it is used for

    and 2 more

  • What you tell people outside

    4
    • A.8.2 Telling users what the system does and how to use it
    • A.8.3 A way for outsiders to report a problem with the system
    • A.8.4 Telling the people affected when an AI incident happens

    and 1 more

  • Using AI responsibly

    3
    • A.9.2 Rules for how this organization itself uses AI
    • A.9.3 What responsible use means here, stated as objectives
    • A.9.4 Using a system for what it was built for
  • Suppliers and customers

    3
    • A.10.2 Who is responsible for what across the AI supply chain
    • A.10.3 Assessing suppliers that provide or run AI for you
    • A.10.4 What you owe customers who use your AI system

The ISO 42001 system and its evidence, in one place

Annex A as a Statement of Applicability, with the AI impact assessments, risks and audits, in one workspace.

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