AI for Facilities Management
How facilities managers can use AI for building operations.
Definition
AI for facilities management helps building operators manage and maintain facilities. AI can analyze building performance, predict maintenance needs, search O&M documentation, and optimize operations. Facilities managers can use AI to improve building performance and reduce operating costs.
In Depth
Facilities management spans building operations, maintenance, capital planning, space management, and tenant services. AI brings intelligence to each of these functions by connecting building systems data, maintenance records, and occupancy information into actionable insights.
Predictive maintenance is the highest-impact application. Instead of maintaining equipment on a fixed schedule (regardless of condition) or waiting for failure (and dealing with emergency repairs), AI monitors equipment performance data to predict when maintenance is needed. A chiller showing increasing head pressure over several weeks is likely developing a condenser fouling issue that, if addressed proactively, costs a fraction of an emergency repair after a failure.
Space utilization analysis uses occupancy sensor data to understand how spaces are actually used — which conference rooms are consistently over- or under-booked, which floors have excess capacity, and which areas experience peak crowding. This data supports space planning decisions, lease negotiations, and renovation planning based on actual utilization rather than assumptions.
Examples
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
AI for facilities management helps building operators manage and maintain facilities. AI can analyze building performance, predict maintenance needs, search O&M documentation, and optimize operations. Facilities managers can use AI to improve building performance and reduce operating costs.
Predicting equipment maintenance. Searching O&M manuals. Analyzing building performance.
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