All use cases
- energy-utilities
- Maintenance & Reliability
- representative
Directing O&M Crews to the Defects That Actually Cost Generation
A solar operations team receives inspection reports listing thousands of findings with no indication of which ones matter to output.
Runs onWayam EyeHow the work runs
The pressure that made this worth automating, the steps the system runs, and what came out the other side.
Pressure & Trigger Points
- Every finding looks equally urgent in a flat report, so crews work in discovery order rather than impact order.
- Low-impact soiling findings consume crew time that string-level faults deserve.
- Work orders are created manually from PDF reports, introducing delay and transcription error.
The run · 5 operational steps
Click any step to inspect telemetry signals, model reasoning, and governance gates.
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Impact Estimation
Each defect class is scored for its estimated effect on generation, not just its visual severity.
Input Signal:
Real-time operational telemetry & queue
Reasoning Pattern:
MCP grounded vector inference
Governance Gate:
Policy constrained with audit write-back
Verified Business Outcomes
- Crew time directed by production impact rather than by report order.
- Work orders generated directly rather than transcribed from PDFs.
- Repair effectiveness verified by subsequent imagery.
Capabilities this relies on
- vision perception
- anomaly detection
- risk scoring
- alert routing
- system connectors
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