Fiber Network AI Ops: Automated Failure Analysis
The Challenge
Fiber network SLA breach investigations taking hours or days to complete. Manual OTDR analysis, root cause identification, and report generation bottlenecked incident response. Field crews dispatched without detailed failure analysis, increasing mean time to repair (MTTR). No automated way to correlate alarms with precise failure locations and actionable repair instructions.
What We Built
Technology Stack
Security & Compliance
- AI agent operates in isolated environment with controlled data access
- All analysis fully auditable with decision tracing and explainability
- OTDR measurement data encrypted in transit and at rest
- Access controls limiting system interaction to authorized personnel
- Complete audit trail of AI-generated decisions and recommendations
The Results
Incident reports generated in minutes vs. hours (95% time reduction)
Automated root cause analysis with 95% confidence scoring
Precise failure localization (20.03 km ± 15 meters) enabling faster field response
SLA breach documentation ready for stakeholders within minutes
Reduced MTTR by 60% through faster diagnosis and dispatch
Field crews arrive with actionable intelligence instead of guesswork
Complete audit reports with technical analysis rivaling senior engineers
Why catdev?
Telecom infrastructure monitoring requires deep domain expertise in fiber optics, OTDR analysis, and network engineering—combined with cutting-edge AI capabilities. catdev delivered an AI agent that doesn't just detect failures, but performs expert-level analysis faster than humans. The system generates reports with technical depth that would take experienced engineers hours to produce, all while being fully auditable and explainable for regulatory compliance.
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