A smart way to avoid duplicate work is to align your AI Act high-risk evidence with the Machinery Regulation's technical documentation and risk assessment structure. The AI Act requires a lifecycle risk management system (Article 9), data and data governance controls for trained systems (Article 10), and provider duties including documentation keeping, log retention, conformity assessment, declaration of conformity and CE marking for the high-risk AI system (Article 16).
The Machinery Regulation technical file expects a coherent safety case: risk assessment, protective measures, residual risk rationale, tests/verification, and (when relevant) software and control-system evidence (Annex IV). For AI-driven safety functions, make the mapping explicit: hazard -> AI failure mode -> mitigation -> verification -> monitoring trigger.