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Artificial Intelligence (AI) supporting Maintenance and Facility Management (FM)

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Artificial Intelligence (AI) is transforming the way companies manage maintenance and Facility Management (FM). It’s no longer just about automation — it’s about using data to predict, optimize and enhance the entire lifecycle of assets and infrastructure.

Today, AI can analyze massive amounts of data from IoT sensors, smart meters, and BIM or Digital Twin systems in real time, identifying patterns and correlations beyond human capability. This shift enables organizations to move from reactive to predictive maintenance, dramatically reducing failures and maintenance costs.

So, how does AI support Facility Management?

Through machine learning algorithms, AI can:

  • predict equipment faults before they occur;
  • recommend the most effective corrective actions;
  • optimize maintenance scheduling and resource allocation;
  • improve energy efficiency by comparing real and historical data;
  • automate asset management and operational priorities.

Integrating AI with a CMMS (Computerized Maintenance Management System) turns raw data into actionable insights — every sensor, task and maintenance activity contributes to continuous improvement.

In Facility Management, AI becomes the decision engine, supporting strategies for space utilization, asset maintenance and energy optimization.

UTwin combines AI, CMMS, BIM, IoT and Digital Twin in a single intelligent platform. With predictive models and smart dashboards, UTwin helps anticipate failures, streamline maintenance operations and enhance overall building efficiency.