Fleet + network operations | 1,000+ sq miles of service territory
A rural telecom co-op maintains service uptime across more than a thousand square miles with limited dispatch capacity. Weather forecasts, fleet locations, and network health all lived in separate systems. Dispatch decisions were being made in meetings, hours after the signal was already in the data.
Weather forecasts, fleet locations, and network health all lived in separate systems.
Weather forecasts, fleet locations, and network health all lived in separate systems.
We built an agent-powered executive intelligence layer that correlates predictive weather, fleet position, and network health in real time. AI agents surface the right dispatch decision before a human has to ask — pre-staging crews ahead of outages instead of chasing them after. The entire stack runs inside the client's environmentno data leaves.
Predictive weather, fleet position, and network health are correlated continuously.
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Insight arrives before the meeting — not after
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Crews are pre-staged ahead of outages instead of dispatched after the fact.
Downtime fell, meetings shrank, and no data ever left the client perimeter.
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Network availability up across the service area
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Insight arrives before the meeting — not after
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Private deployment inside the client perimeter
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