AI Return-to-Office Planning
The Problem
“Optimize office occupancy amid hybrid work uncertainty”
Organizations face these key challenges:
1
Unreliable and delayed occupancy visibility across buildings, floors, and days of week, causing either wasted leased space or peak-day overcrowding
2
Fragmented data (access control, Wi-Fi, room booking, HR) and inconsistent definitions of utilization, making benchmarking and forecasting error-prone
3
High-stakes lease decisions (renewal, contraction, sublease, relocation) made with static assumptions that fail when hybrid behavior shifts
Impact When Solved
5-15% portfolio space reduction potential by aligning leased SF to peak-demand forecasts rather than average attendance8-20% OPEX reduction through dynamic cleaning, energy, and security staffing tied to predicted occupancy60-80% faster scenario planning and restack modeling, enabling earlier action ahead of lease expirations and market changes