Henri Garih · 1 min read
ISO 42001: certification vs real AI risk management
Most companies tackling ISO 42001 confuse certification with real AI risk management.
I see it with my mid-market clients. Months spent drafting governance policies that nobody follows once the certificate is obtained.
The problem starts on day one: they hire compliance consultants before even mapping their AI inventory. Teams rush into governance frameworks without understanding which AI systems are actually running, who uses them, and what the concrete risks are.
The result: beautiful documents, disconnected from operational reality. And a substantial consulting bill.
My approach is the reverse. We start from the ground: which models are in production? What data feeds what? What are the high-risk use cases? Once this mapping is done, governance follows naturally.
Certification should be the consequence of good AI risk management, not a goal in itself. Companies that understand this spend 3 times less on compliance and get results 10 times more robust.
