A cleaning professional using a floor scrubbing machine on a carpeted office floor.

CUSTOMER STORIES

How a Global Investment Bank Saved $2M on Cleaning and Cut Energy Costs by 30%

INDUSTRY:
Financial Services
USE CASE:
Automated Workplace Operations
COMPANY SIZE:
50,000+ Employees
KEY RESULT:
$2M Annual Cleaning Savings

The Challenge

This global investment bank was spending $4M annually on cleaning operations at a single major office alone, using a fixed-fee model that cleaned every space on a rigid schedule regardless of whether anyone had used it. Simultaneously, the bank’s sustainability team was under pressure to reduce carbon emissions and reach net-zero targets. HVAC systems ran at full capacity on floors that were often nearly empty, and there was no mechanism to align energy consumption with actual occupancy patterns.

The facilities and sustainability teams were operating blind. Without real-time data on which spaces were actually used on any given day, they could not shift from fixed operations to demand-driven operations.

The Solution

The bank deployed VergeSense and integrated occupancy data with Switch Automation, their building operations platform. This integration created a live feed of space usage that could trigger automated operational workflows.

For cleaning, VergeSense data allowed the facilities team to move from a fixed cleaning schedule to usage-based cleaning: only spaces that had been occupied were cleaned, and cleaning intensity was adjusted based on how heavily a space was used. The data supported contract renegotiation with their cleaning vendor.

For energy management, occupancy data was connected to the building management system to drive HVAC scheduling. Floors with low or no occupancy saw reduced heating and cooling, while high-traffic areas maintained comfort levels. The result was a dynamic, responsive building that adapted to its occupants in real time.