ISO 42001 Implementation

Stand out as a forward-thinking organisation in AI governance

Is your organisation equipped with AI governance that demonstrates maturity in procurement and regulatory reviews?

  • Minimise AI-related risks through a structured AI Management System.

  • Align with legal, ethical, and forward-looking regulatory standards

  • Distinguish yourself as a responsible and credible AI-driven organisation

ISO 42001: Foundation for Trustworthy AI

ISO/IEC 42001 is the first international standard for managing artificial intelligence, setting requirements for governance, risk management, transparency, and accountability. Just as ISO/IEC 27001 became the benchmark for information security, ISO 42001 is expected to serve the same role for AI governance. Early adoption strengthens an organisation’s position in procurement and regulatory assessments, while over time certification will likely become an expected baseline. For organisations already certified under ISO/IEC 27001, ISO 42001 can be integrated as an extension of the existing management system, ensuring continuity while adding AI-specific controls.

Our Approach

1

Assess

Conduct a structured gap analysis to evaluate AI use, governance model, and alignment with ISO 42001 requirements.

2

Develop

Design and implement the key elements of your AI Management System (AIMS), tailored to structure, risk profile, and strategic goals.

3

Review

Support internal audits, perform readiness checks, and ensure documentation meets external certification criteria.

4

Guide

Coordinate the certification journey with an accredited body and deliver a fully operational, audit-ready AIMS.

The Result: Trusted AI Governance in Practice

Support for EU AI Act Compliance

Structured oversight and documentation that strengthen your organisation’s ability to demonstrate compliance with the EU AI Act.

Independent AI Oversight

Support with conformity assessments, documentation, and reviews to ensure AI systems are transparent, defensible, and aligned with regulatory standard

Competitive Advantage in Procurement

Clear evidence of maturity and foresight in AI governance that strengthens credibility in contracts and partnerships.

Two people analyzing data on a large screen, one pointing at a graph with a magnifying glass, in a tech or scientific setting.

Frequently Asked Questions

  • ISO 42001 becomes a strategic requirement when organisations rely on AI systems that impact decision-making, customer trust, or regulatory exposure.

    In sectors where AI influences outcomes, such as recruitment, finance, healthcare, or large-scale data processing, organisations are increasingly expected to demonstrate structured governance. Certification moves from “nice to have” to a way of showing that risks are identified, managed, and controlled.

  • ISO 42001 provides a structured framework for managing AI risks, which directly supports regulatory expectations.

    • The EU AI Act focuses on risk classification, governance, and accountability for AI systems

    • GDPR requires organisations to manage risks to individuals’ rights, especially in automated decision-making

    ISO 42001 helps operationalise these requirements by embedding governance, documentation, and controls into how AI systems are designed and managed.

  • Most organisations lack:

    • Clear ownership of AI governance

    • Structured risk management for AI systems

    • Documentation of AI decision-making processes

    • Integration between AI, data protection, and security frameworks

    The gap is rarely technical. It is usually governance and structure.

  • Yes, and in many cases it should be.

    ISO 27001 provides the foundation for information security, while ISO 42001 extends governance into AI-specific risks such as bias, transparency, and decision-making.

    Organisations with ISO 27001 are often well-positioned to build on existing controls and processes.

  • Effectiveness is demonstrated through evidence.

    This includes:

    • Documented risk assessments and decision-making processes

    • Monitoring and review of AI system performance

    • Clear accountability and oversight

    • Ability to explain how risks are identified and mitigated

    It is not enough to have policies. You must show that they are applied in practice.

  • No. ISO 42001 applies both to organisations that develop AI systems and those that deploy or rely on them.

    Even if you do not build AI internally, you remain responsible for how AI is used, especially when it affects individuals, decisions, or data processing.