Static maintenance schedules waste crew capacity on low-risk assets while high-priority threats escalate. A dynamic prioritization workflow automates this bottleneck by ingesting real-time risk scores from geospatial AI models, SCADA, and IoT sensors. A central orchestrator, built with frameworks like LangGraph, continuously evaluates these signals against asset criticality and crew proximity. It then generates optimized, executable work orders, pushing them directly to mobile workforce management systems like SAP Fieldglass or ServiceNow FSM, turning risk intelligence into immediate field action.




