What it means
- Be ready to prove, to an outside party, that your AI systems and AI management system meet a defined standard or law:
- certification against ISO/IEC 42001 (see iso 42001 overview),
- conformity assessment for high-risk AI under the EU AI Act if you sell into the EU,
- voluntary benchmarking with industry compliance toolkits.
- Keep a single evidence pack per AI system that maps controls to requirements, so any assessment is a retrieval exercise, not a scramble.
- ISO 27001 reuse: Partial. If you hold ISO 27001, your management system structure (scope, document control, internal audit, management review, corrective action) and certification experience transfer directly. AI-specific controls and evidence are new.
Why it matters
- RBI FREE-AI suggests optional use of an industry AI compliance toolkit to benchmark fairness, transparency and robustness, while being clear it does not replace internal validation.
- Enterprise buyers increasingly ask for ISO/IEC 42001 certification or a readiness statement in vendor due diligence.
- EU AI Act high-risk obligations require conformity assessment before market placement for in-scope systems.
Checklist
- Decide which assessments matter: ISO/IEC 42001 certification, EU AI Act conformity, customer audits, industry toolkits.
- Define the scope of your AI management system (which products, sites, teams) and record exclusions with reasons.
- Build a requirements-to-controls matrix using the SecComply register (control register) and fill gaps.
- Assemble an evidence pack per AI system: inventory entry, risk and impact assessments, model card, test reports, monitoring results, approvals (SC-AI-014 Model documentation (model cards, system cards)).
- Run a full internal audit and management review cycle before the external audit (SC-AI-037 Internal audit of AI, SC-AI-040 Board reporting and AI risk metrics).
- Do a readiness or pre-assessment with the certification body or a consultant; close findings.
- Choose an accredited certification body for ISO/IEC 42001.
- Optionally benchmark with an industry toolkit and record results, without treating it as a substitute for validation.
- After certification, plan surveillance audits and keep evidence current.
Evidence examples
- AI management system scope statement.
- Requirements-to-controls matrix (ISO/IEC 42001 clauses and Annex A to SecComply control IDs).
- Per-system evidence packs.
- Internal audit report and management review minutes before the certification audit.
- Readiness assessment report and closure log.
- Certificate and surveillance audit reports, or toolkit benchmark results.
Common pitfalls
- Scope drawn so narrowly the certificate is meaningless to customers.
- Evidence spread across email and personal drives.
- Treating certification as a project that ends, not a system that keeps running.
- Using a non-accredited certification body.
Satisfies
- VoluntaryISO/IEC 42001
- BindingEU AI Act
- BindingTexas TRAIGA
- BindingKorea AI Basic Act
- VoluntaryRBI FREE-AI
Standards crosswalk
Clause references only. Check the standard itself for the exact wording.
ISO/IEC 42001
- 4.3 scope of the AI management system
- 9.2 internal audit
- 9.3 management review
- 10.1 continual improvement
- 10.2 nonconformity and corrective action
- A.6.2.7 technical documentation
ISO/IEC 27001
- A.5.35 independent review of information security
- A.5.36 compliance with policies, rules and standards
SOC 2
- CC4.1
Key takeaways
- Keep one evidence pack per AI system so any assessment is quick.
- ISO 27001 holders can reuse most of the management system machinery for ISO/IEC 42001.
- Toolkits and certificates complement, but never replace, internal validation.