Autonomous buildings for performance
AI-driven operations help buildings detect issues earlier, prioritize action and keep critical systems performing with less manual effort. Operators get clear, ranked actions. Occupants enjoy optimized environments. Owners gain cost efficiencies, long-term asset value and improved retention.
Why buildings need a smarter operating model
Labor shortages, rising technical complexity and disconnected systems are pushing building operations to a breaking point. Teams are expected to manage more buildings with fewer expert resources, while the consequences of reactive operations grow more costly.
Unplanned downtime
When systems fail without warning, the result is emergency repairs, tenant disruption and spiraling costs. Without predictive capabilities, teams are always one step behind, reacting to failures instead of preventing them.
Alarm overload
Operators face a constant flood of alerts, most low-priority or redundant. Without intelligent filtering, critical issues get lost in the noise and response times suffer, increasing risk and eroding trust.
Skill gaps are widening
53% of facility management positions remain open. Experienced workers are retiring faster than new ones can be trained, and the knowledge needed to troubleshoot complex, multi-system environments is disappearing.
Troubleshooting complexity
Modern buildings run on interconnected systems where a single fault can cascade across HVAC, electrical and safety domains. Diagnosing root causes manually across disconnected data sources takes hours, extending downtime.
Fewer experts, more buildings
The pressure to operate larger portfolios with smaller, less experienced teams is intensifying. Every additional building increases risk, stretches response times and erodes service quality.
How autonomy changes everything
Autonomy shifts operations from dashboard monitoring and reactive work orders to intelligent intervention. The building detects deviations, recommends root causes, prioritizes actions and escalates only what requires human judgment.
≤ 50% Potential reduction in labor costs
Source: Zeb & Lodhi (2025), ResearchGate. Based on ~2,800 maintenance calls/year and ~$700k/year labor cost in a multi-site hospital with BMS and Asset Performance. Results vary and are not guaranteed.
≤ 15% Reduction in false alarms & subcontracted labor costs
Source: Estimate based on a modeled baseline of approx. 180k per year subcontracted labor cost in a large university environment. Results vary and are not a guaranteed outcome or contractual commitment.
≤ 25% Time saving per data point in engineering
Source: Modeled on a mid-complex US commercial building (~7.5k sqm, ~15k data points, ~8 min/data point, ~280k addressable value at 140/hour). Results vary and are not guaranteed.
Explore our solutions for autonomous performance
AI-Assisted Data Onboarding
AI-driven data enrichment automates tagging, structuring and scaling across sites, reducing onboarding effort and accelerating time-to-value for existing buildings.
Asset Performance Advanced
Asset Performance Advanced is an AI-enabled managed building digital service, allowing customers sense, decide, and continuously improve performance.
Ready to transform your building operations?
Discover how autonomous buildings can reduce costs, increase uptime, and empower your teams.