AI Capacity Planning
The Problem
“You’re planning building ops with stale spreadsheets while demand shifts daily”
Organizations face these key challenges:
Maintenance staffing and vendor coverage are misaligned—quiet weeks followed by emergency overload
Parts inventory is guesswork: critical spares missing when failures hit, excess stock tied up in slow-moving items
Energy peaks and HVAC load surprises cause comfort complaints, demand charges, and rushed operational changes
Data is fragmented across BMS/EMS/CMMS—no single view to predict capacity needs across a portfolio
Impact When Solved
Real-World Use Cases
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.
AI Readiness and Deployment for Facilities Management
This is a playbook for getting buildings and facilities ready to actually use AI – like teaching a building to ‘talk’ clearly about its energy use, maintenance needs, and occupancy so that AI tools can make smart decisions instead of guessing.