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Case Study

AI Chief Engineer for Smart Buildings

Stats:

  • 6 AI modules deployed across operations
  • 40–50% of building energy use comes from HVAC
  • 4 real-time intelligence capabilities

Challenge: HVAC drives up to half of a building's energy use, yet teams work blind — fragmented systems, lost expertise, slow diagnostics, and maintenance only after failure.

Solution: An AI operations platform shifting maintenance from reactive to predictive: one orchestrator routing to a knowledge base agent, SQL agent, and IoT anomaly detection.

Impact: Facility teams move from reacting to breakdowns to catching issues before they escalate, cutting downtime and manual troubleshooting.

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