AI in Facilities Management
Artificial intelligence has moved quickly from a topic of curiosity to a practical tool for facility operations. While AI has been around for decades, recent advancements have pushed it into the mainstream and opened new opportunities for facility managers to address everyday operational challenges.
In an article for Facilities Management, FEA President and COO Laurie Gilmer highlights how the conversation around AI is evolving. The industry is moving beyond basic chatbots and toward more advanced AI tools and agents that can support maintenance teams, improve safety, enhance occupant comfort and help facilities operate more efficiently.
For many organizations, the most immediate value of AI lies in its ability to strengthen the capabilities of facility teams. Across the industry, facilities are facing a shortage of skilled technicians and maintenance professionals. AI tools can help bridge that gap by making information easier to access and enabling technicians to solve problems more quickly.
For example, AI can identify equipment and instantly pull up operations and maintenance manuals. It can recommend training resources such as short videos that help technicians troubleshoot issues in real time. AI tools can also help teams triage complaints, identify potential failure risks based on system histories and even generate maintenance notes from verbal reports. These capabilities do not replace technicians. Instead, they amplify their expertise and help teams work more efficiently.
AI is also helping facility teams meet some of their most important responsibilities: protecting occupants and maintaining safe, healthy and comfortable environments.
Advances in video analytics and security systems are transforming cameras from passive monitoring devices into proactive safety tools. AI can recognize unusual activity, detect tailgating at access points and flag unusual patterns that may indicate a potential security risk. These systems can trigger alerts or deterrence actions such as lights, alarms or automated messages to help teams respond quickly.
Occupant comfort is another area where AI is proving valuable. Temperature complaints remain one of the most common issues facility teams manage. By analyzing weather patterns, occupancy data and equipment performance, AI-driven controls can anticipate building needs and adjust temperatures proactively. Instead of reacting after a space becomes too hot or too cold, systems can predict demand and respond earlier, improving comfort while reducing energy waste.
Indoor air quality has also become a growing priority for many organizations following the pandemic and recent wildfire events. AI-enabled monitoring systems can analyze data from sensors that track temperature, humidity, carbon dioxide levels, volatile organic compounds and particulate matter. By combining this information with predictive analytics, building systems can adjust ventilation levels to maintain healthy indoor environments while balancing energy efficiency.
Beyond day-to-day operations, AI is also helping facilities teams manage energy performance and compliance requirements. Building energy performance standards are expanding across states and cities, requiring organizations to measure, report and reduce building emissions and energy use. Meeting these requirements can be challenging, especially for facilities teams already working with limited resources.
AI analytics tools can analyze building automation system data, energy consumption patterns and weather information to identify inefficiencies and recommend operational adjustments. In many cases, these insights help uncover issues that might otherwise go unnoticed.
For example, an HVAC system might appear to be operating normally based on building automation data. But AI analytics could detect inconsistencies and identify that outside air dampers are stuck open, creating unnecessary cooling loads and causing temperature complaints. Identifying and resolving issues like this more quickly can save both staff time and operational costs.
Another area where AI can make a significant impact is communication with organizational leadership. Facility managers often need to translate complex technical issues into clear business risks that leadership can understand. AI tools can help analyze maintenance histories, equipment life cycles and operational data to identify potential system failures and connect them to organizational priorities such as safety, financial performance, occupant experience and regulatory compliance.
For example, if AI analysis highlights that a critical cooling tower is approaching the end of its useful life, managers can connect that risk to potential business impacts such as operational disruptions, emergency repairs or occupant comfort issues. This data-driven insight can help leadership understand the urgency of a capital investment and support faster decision making.
As AI in facilities management continues to evolve, its role in facilities management will only expand. Rather than replacing facility professionals, these technologies are becoming powerful tools that support teams in making better decisions, identifying problems earlier and operating buildings more effectively.
For facility managers, the real promise of AI is not in the technology itself but in how it can help teams focus on what matters most: maintaining safe, efficient and healthy facilities that support the people and organizations they serve.
