Drone, Camera and Field Inspection Data to SAP PM Work Orders in Real Time

// the problem

Each data source operated independently: drone footage in one system, fixed cameras in another, field brigade reports on paper. The same anomaly could appear in three places and generate three separate work orders. Risk scoring was done manually by engineers days after detection — making the process reactive instead of predictive. With $500K+ exposure per major failure event, the cost of delay was enormous.

// what CLU does

CLU creates a unified intelligence layer that processes all visual feeds in parallel, deduplicates across sources in real-time, scores risk per transmission tower continuously, and acts autonomously for high-risk events while routing critical ones to human validation.

// the agents, in order

1. 1
   Visual Sentry Agent

   Processes all feeds — cameras, drones, tablets — in parallel using computer vision, 24/7
2. 2
   Memory Keeper

   Deduplicates across all sources via vector search: same anomaly in drone footage and brigade report = one event
3. 3
   Risk Officer

   Calculates failure probability per tower in real-time: vegetation growth rate, weather, historical failure data
4. 4
   SAP Executor

   Creates PM01 work orders for high-risk events; triggers human-in-the-loop validation for critical infrastructure decisions

// systems it talks to

• Drone Feed API
• Camera Stream
• SAP PM API
• SCADA
• Risk Officer Agent

// more cases in Critical Infrastructure

• Vegetation Management Alerts to SAP PM Work Orders in Under 24 HoursZero Excel. Zero Delay. Vegetation anomalies to SAP work orders in under 24 hours.