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Introduction
Office expansion is one of the largest capital expenses a company faces. Leases, fit-outs, furniture, and ongoing operational costs can quickly add up to millions over a multi-year horizon.
Before signing on for more square footage, organizations can adopt privacy-first people sensing and spatial intelligence to measure actual workplace needs, optimize existing space, and delay or dramatically reduce expansion costs. This article explains how privacy-first people sensing works, why it reduces real estate spend, and how to implement a program that delivers measurable savings without compromising privacy.
What is privacy-first people sensing?
People sensing is the use of sensors and analytics to measure human presence, movement, and space usage in buildings. Spatial intelligence is the analysis layer that turns sensor data into actionable insights for real estate, facilities, and workplace teams.
Privacy-first people sensing refers to systems designed from the ground up to protect individual privacy. Key characteristics include:
- Camera-free sensing (e.g., thermal or infrared sensors) that detects heat signatures and motion rather than capturing identifiable images.
- On-device or edge processing to anonymize or aggregate data before it leaves the sensor.
- Strong data governance practices like short retention windows and purpose-limited analytics.
These approaches let organizations understand how space is used without tracking or identifying individual employees.
Why this approach saves real money
Office expansion costs extend beyond raw square footage to include build-out, furniture, additional energy and maintenance, and often higher lease rates. Privacy-first people sensing reduces these costs by enabling smarter, data-driven decisions:
- Avoid unnecessary expansion: Accurate utilization data reveals true demand and peak usage, enabling companies to right-size instead of reflexively adding space.
- Improve density and utilization: Identify underused areas that can be repurposed (focus rooms, collaboration zones, quiet pods), increasing effective capacity without additional square footage.
- Reduce fit-out costs: When expansion is necessary, data-driven design reduces wasted features and over-provisioning.
- Negotiate leases better: Hard data on occupancy and utilization strengthens negotiation with landlords for rent reductions, tenant improvement allowances, or flexible terms.
- Cut operational expenses: Automated HVAC, lighting, and cleaning schedules tied to real occupancy reduce energy and facilities costs.
- Enable hybrid/hot-desking models: Sensing supports hoteling and flexible seating models that lower average space-per-employee requirements.
Together, these levers can produce multi-million dollar savings across a portfolio of offices over time.