ISO/IEC 42001 explained for Indian SaaS companies and exporters
If you sell software or AI-enabled services to enterprise buyers in Europe, the US or the Middle East, a new question is showing up in security questionnaires: how do you govern your AI? ISO/IEC 42001 is fast becoming the reference answer.
What ISO/IEC 42001 is
Published in 2023, ISO/IEC 42001 is the first international standard for an AI management system. Like ISO 27001 does for information security, it sets out how an organisation should manage AI responsibly: policies, roles, risk assessment, controls, monitoring and continuous improvement.
It applies whether you build AI systems, use them inside your products, or provide them to others.
How the standard is structured
| Clause | What it covers |
|---|---|
| 4. Context | Where and how your organisation uses AI, and who is affected |
| 5. Leadership | AI policy, roles and management commitment |
| 6. Planning | AI risk assessment, impact assessment and objectives |
| 7. Support | Resources, skills, awareness, documentation |
| 8. Operation | Running the AI lifecycle with the planned controls |
| 9. Performance evaluation | Monitoring, internal audit, management review |
| 10. Improvement | Fixing problems and improving over time |
Annex A lists reference controls, for example on data quality, transparency, human oversight and third-party AI suppliers.
Why buyers care
- It gives procurement teams a recognised benchmark instead of vague assurances.
- It aligns with the direction of regulations such as the EU AI Act.
- It shows you have thought about risks like bias, wrong outputs and misuse.
A practical first 90 days
Days 1–30: inventory and policy - List every AI system you build or use, including third-party APIs. - Classify each by risk: who could be harmed, and how. - Write a short AI policy approved by leadership.
Days 31–60: risk and controls - Run an impact assessment for your highest-risk AI uses. - Define human oversight: who can override or switch off each system. - Set up evaluation: test sets, quality thresholds and monitoring.
Days 61–90: evidence - Document decisions, test results and incidents. - Run an internal review against the clauses above. - Decide whether to pursue formal certification or self-assess for now.
Do you need certification?
Not always. Many companies start by aligning with the standard and answering buyer questionnaires confidently. Certification makes sense when large customers require it or when AI is core to what you sell.
The hardest part isn't paperwork. It's knowing how your AI actually behaves, which is why evaluation and testing come first.