Finding the right ISO 42001 auditors

Finding an appropriate ISO/IEC 42001 auditor is one of the most critical decisions in your certification journey. Because ISO 42001 is still relatively new, auditor experience varies widely, and not all auditors who are formally qualified for ISO standards have meaningful exposure to AI systems, ML pipelines, or AI risk governance in practice. 1. Start with accreditation The first and non-negotiable requirement is accreditation. ISO/IEC 42001 audits must be conducted by auditors working for certification bodies accredited by IAF-recognized accreditation bodies such as ANAB or UKAS. Without this, the certificate may not be globally valid, regardless of the auditor’s experience. Always verify accreditation directly through the accreditation body’s public directory rather than relying on marketing materials.
2. Assess AI and ML expertise ISO 42001 requires auditors to evaluate real AI systems, not just management documentation. Look for auditors who understand AI lifecycles, data pipelines, model deployment, monitoring, bias, drift, and human oversight mechanisms. When speaking with certification bodies, ask whether their auditors have hands-on experience auditing ML models, LLMs, or AI-driven decision systems, and how they typically assess model risk and impact. 3. Look for a risk-based audit approach Strong ISO 42001 auditors apply a risk-based mindset rather than a uniform checklist. They should focus deeper scrutiny on high-impact or high-risk AI systems while allowing lighter treatment for low-risk use cases. This approach aligns with the standard’s intent and avoids unnecessary findings that do not enhance AI governance. 4. Evaluate communication and audit style The auditor’s communication style matters, especially for first-time certifications. Good auditors clearly explain expectations, distinguish between major and minor nonconformities, and provide actionable feedback without crossing into consulting. They should be comfortable engaging with both technical teams and non-technical stakeholders, translating ISO requirements into practical expectations that are clear and actionable. 5. Consider the audit model and cost structure Review how the certification body structures audits, including the use of remote or hybrid audits, which are common for startups. Bundled audits with related standards, such as ISO 27001 or ISO 27701, can reduce overall effort and cost. Ensure pricing is transparent and aligns with your scope, number of AI systems, and organizational size. 6. Check references and relevant experience Ask for references or examples of ISO 42001 or AI governance audits the certification body has completed. Experience in your industry or with similar AI use cases can significantly improve audit efficiency and outcomes. An auditor who understands your business context and regulatory exposure is more likely to deliver a fair, efficient, and credible certification process.