How to integrate ISO/IEC 42001 into existing management systems and build an effective approach to AI governance.
As AI becomes part of everyday business operations, organisations face growing expectations around security, transparency, accountability and regulatory compliance. The challenge is not simply to introduce new policies, but to make AI governance work within existing processes and responsibilities.
ISO/IEC 42001 provides a framework for managing AI-related risks and responsibilities throughout the AI lifecycle. But how can organisations put it into practice without creating unnecessary complexity or duplicating existing management structures?
In this whitepaper, our experts explore how to integrate AI governance into established management systems, address regulatory requirements and build processes that remain effective as technologies and risks evolve.
What you’ll learn
- How ISO/IEC 42001 fits into existing management systems and governance structures
- How to address regulatory requirements, including the EU AI Act, alongside AI-specific risks
- Why clear responsibilities, effective risk management and third-party oversight matter
- How to incorporate AI security, monitoring and audit requirements into everyday operations
- How to move from initial assessment to an AI management system that supports continuous improvement
Download the whitepaper to explore a practical approach to AI governance that builds on what your organisation already has in place.
