This workflow eliminates 8-16 hours of manual data gathering per meeting by automating the extraction and synthesis of data from fragmented sources like the safety database (e.g., ARISg, Veeva Safety), literature surveillance feeds, and statistical signal outputs. An orchestrator, typically built with LangGraph for state management, triggers the process on a scheduled cadence or ad-hoc request. It dispatches specialized data agents to query each system, normalizing outputs into a unified data model for assembly. The primary ROI is the reallocation of highly skilled PV scientists from administrative compilation to higher-value signal assessment and medical review.




