Build a practical AI risk process aligned with the AIMS and client objectives.
Define risk criteria, identify threats and opportunities, evaluate likelihood/impact in the client's context and assign treatment owners.
Keep regulatory classification separate from broader organisational AI risk: a system can be legally lower-risk but still create security, privacy or operational exposure.
Record residual risk and acceptance decisions so management ownership is visible.
Build a risk entry for an internal generative-AI assistant handling commercially sensitive documents.
Training summary based on public ISO and BSI descriptions of ISO/IEC 42001. It teaches the management-system structure and practical implementation approach without reproducing the copyrighted standard text.