ISO 42001 – Clause 9.3 Management Review

Created in August 18, 2025

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ISO 42001 - Clause 9.3 Management Review by [Kimova AI](https://kimova.ai)

📄 Clause 9.3 – Management Review

Leadership Driving AI Governance Forward

Clause 9.3 of ISO 42001 puts the spotlight on top management. While monitoring, measuring, and auditing (Clauses 9.1 and 9.2) help gather insights, management review is where leaders step in to evaluate those insights and decide on the organization’s future AI governance strategy.

It’s about ensuring that your AI Management System (AIMS) remains:

  • Effective

  • Relevant to organizational goals

  • Aligned with legal, ethical, and societal expectations

✅ What Clause 9.3 Requires

Top management must review the AIMS at planned intervals to ensure:

  1. Continued suitability – Does the AIMS still match the organization’s AI goals and risk profile?

  2. Adequacy – Are resources, processes, and responsibilities enough to support AI governance?

  3. Effectiveness – Is the AIMS delivering results? (e.g., risk reduction, compliance, trustworthiness).

  4. Opportunities for improvement – What needs updating or enhancing?

These reviews must be documented and action-oriented, feeding directly into improvement plans.

📊 Inputs to the Management Review

A robust management review considers:

  • Results of monitoring and internal audits

  • Stakeholder feedback (users, regulators, partners)

  • Status of corrective and preventive actions

  • Emerging risks and regulatory changes in AI

  • Opportunities for innovation or efficiency

📌 Outputs from the Review

  • Management reviews are not just discussions — they must lead to decisions and actions, such as:

  • Adjusting the AI governance policy

  • Allocating new resources for compliance, monitoring, or risk treatment

  • Updating objectives for fairness, transparency, or explainability

  • Initiating improvement projects or corrective actions

  • Revising scope or strategy of the AIMS

🧠 Why It Matters in AI Governance

AI is dynamic — data changes, models evolve, and regulations emerge rapidly. Without top-level review, governance could drift off course.

Management review ensures that leadership:

  • Stays accountable for AI governance

  • Understands both risks and opportunities

  • Commits to resourcing improvements

  • Provides strategic direction for ethical AI use

🛠️ Implementation Tips

  • Schedule reviews annually or semi-annually, aligning with audit cycles.

  • Engage cross-functional leaders (IT, legal, compliance, data science, HR).

  • Keep minutes and evidence to demonstrate compliance during certification audits.

  • Use dashboards to present monitoring and audit results in a clear, decision-focused way.

🔍 Pro Tip

Management reviews should be forward-looking. Don’t just analyze what went wrong — use the session to anticipate risks, evaluate innovation potential, and reinforce trust in AI systems.

In tomorrow’s article by Kimova.AI, we’ll explore Clause 10 – Improvement, where we explore how organizations turn reviews, audits, and monitoring into concrete steps for building stronger, safer, and more trustworthy AI systems.

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