Reliability Centred Maintenance (RCM) is a proven framework for building robust maintenance strategies, but traditional studies are often slow, resource intensive, and difficult to scale. This session demonstrates how Generative AI can transform the way RCM studies are developed, dramatically reducing cycle time while maintaining analytical rigour.

Using real world examples, we will show how GenAI tools can:

• Rapidly generate functions, functional failures, and failure modes from asset data, manuals, and CMMS history.
• Suggest initial maintenance strategies aligned to RCM principles.
• Streamline documentation and report generation, producing structured RCM tables and visual outputs for stakeholder review.

We will also address the practicalities of adoption—from data readiness and validation workflows to integrating human expertise and ensuring quality outcomes. Attendees will leave with a clear roadmap for piloting GenAI in their own RCM programs, cutting development time from weeks to days without compromising reliability or safety.