AI Hybrid Work Space Planning
The Problem
“You’re running buildings and leases on static assumptions while hybrid occupancy changes daily”
Organizations face these key challenges:
HVAC, lighting, and cleaning run on fixed schedules even when floors are half-empty
Executives ask "how much space do we really need?" but utilization data is delayed, incomplete, or inconsistent
Peak attendance days cause room shortages, hot/cold zones, and tenant complaints despite overall low utilization
Maintenance teams get surprised by failures because asset load varies with occupancy and isn’t linked to planning
Impact When Solved
Real-World Use Cases
AI for Commercial Real Estate Decision-Making
Think of this as a super-analyst for commercial real estate that never sleeps: it reads huge amounts of market, property, and financial data and then suggests which buildings to buy, sell, lease, or invest in, and at what terms.
AI Predictive Maintenance for Commercial Buildings
This is like giving a commercial building a smart “check engine light” that looks at all the sensor data (HVAC, elevators, lighting, water systems) and warns you before something breaks, instead of after tenants complain or systems fail.