AI Building Energy Management
The Problem
“Cut building energy waste without hurting comfort”
Organizations face these key challenges:
1
Energy spend is volatile and hard to control due to static schedules, seasonal drift, and inconsistent operator practices across properties
2
Limited visibility into equipment performance leads to late discovery of faults (simultaneous heating/cooling, stuck dampers/valves, short cycling) and higher maintenance costs
3
Balancing tenant comfort, indoor air quality, and energy targets is manual and reactive, increasing complaints and risking lease renewals and reputation
Impact When Solved
Reduce portfolio energy intensity by 8–20% while maintaining comfort KPIs (e.g., 90–95% of zones within setpoint bands)Cut peak demand 5–15% to lower demand charges and improve resilience during grid stress eventsImprove asset value and compliance by supporting ESG reporting and meeting building performance standards, potentially avoiding penalties and preserving NOI