ISO 42001 Maturity Model — growing towards mature AI governance
Many organizations already use AI — often faster than their governance can keep up. The result: isolated initiatives, implicit risks, and decision-making that takes place after the fact.
The ISO 42001 Maturity Model makes visible where you stand, what your next step is, and how you grow in a controlled manner towards mature AI governance, based on ISO/IEC 42001.
Not a score for the sake of scoring, but a steering instrument for management and governance.
Why a maturity model for ISO 42001?
ISO 42001 describes what you need to organize.
The maturity model helps with the question of how mature you already do that.
Organizations use the model to:
- gain an overview of AI initiatives
- prioritize risks
- determine realistic growth paths
- substantiate investments
- enable MT and governance to steer better
The maturity model prevents ISO 42001 from becoming a “yes/no” exercise.
How does the ISO 42001 Maturity Model work?
The model assesses maturity in core areas such as:
- governance & decision-making
- AI risk management
- lifecycle management
- policy & frameworks
- monitoring & improvement
Per domain, we look at consistency, assurance, and control — not at document density.
The 5 maturity levels
Level 1 — Ad hoc
AI is used incidentally.
- No central control
- Decisions are individual
- Risks implicit and unaddressed
Lots of innovation, little overview.
Level 2 — Aware
Awareness arises that AI requires risks and governance.
- First policy agreements
- AI risks are recognized
- No structural assurance
Good intentions, limited coherence.
Level 3 — Controlled
AI is controlled organization-wide.
- Clear roles and responsibilities
- Structural risk analyses
- Lifecycle steps established
AI is under control, but still primarily operational.
Level 4 — Directed
AI is part of strategic decision-making.
- MT actively manages AI risks
- Governance is integrated into the management system
- Monitoring and evaluation are structural
AI supports strategy, not the other way around.
Level 5 — Mature
AI governance is fully embedded.
- Continuous improvement
- Transparency towards stakeholders
- AI risks and opportunities are managed predictably
AI is reliable, scalable, and responsible.
What does an ISO 42001 maturity assessment deliver?
After a maturity assessment, you have:
- an objective picture of your AI maturity
- insight into the biggest risks and quick wins
- a realistic roadmap to the next levels
- substantiation for investments and choices
- input for ISO 42001 implementation or audit preparation
The assessment often forms the starting point for:
- AI Governance setup
- ISO 42001 implementation
- Management review or board session
Who is the ISO 42001 Maturity Model intended for?
- organizations that use AI but lack overview
- directors and MTs who want to control AI risks
- healthcare institutions and IT suppliers
- organizations considering ISO 42001
- organizations that want to grow in maturity, not just compliance
Do you want to know where your organization stands on AI governance and what a logical next step is?
Start with an ISO 42001 maturity assessment. Practical, risk-driven, and focused on real improvement.
Schedule a meeting
Non-committal, practical, and focused on your situation.