Enterprise Asset Management (EAM) is critical in GxP environments, yet many life sciences organizations struggle with siloed systems, manual handoffs, and reactive processes that increase downtime and compliance risk. This webinar will demonstrate how autonomous AI agents can improve asset reliability by sensing events in real time, making context-aware decisions, and coordinating actions across EAM, QMS, ERP, and LMS while maintaining human oversight and auditability.
Using real-world examples like GMP-critical failures, presenters Bill Lucas and Judy Fainor from Blue Mountain show how AI agents can detect issues instantly, open and link deviations, check parts availability, trigger procurement, and enroll staff in training with full traceability. They outline three integration approaches and a maturity model from assistive to selective automation. Key adoption topics include API readiness, security, governance, and human-in-the-loop design. Attendees will learn to shift from reactive to proactive asset strategies, design GxP-ready AI use cases, and apply a phased roadmap that drives value without compromising compliance.