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How a global AI leader replaced manual counts with one source of truth
A fast-growing global AI leader was onboarding more than 100 employees a week at its peak, and hand-counted estimates could not keep up. Starting with one headquarters deployment, the team expanded Butlr sensors to dining areas, gyms, and offices across the US and Europe, all feeding a central data lake. Today the sensor-based count is the official source of truth for food services, gym planning, and space allocation.
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butlrCase study
From manual counts to a global source of truth
Sense Everyone. See No One. From manual counts to a global source of truth
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The case study at a glance
100+
new hires per week at peak growth
6
offices across the US and Europe
1
trusted source of truth for occupancy
Inside the case study
- How the program grew from one building to six offices
- How occupancy data feeds a central data lake and vendor dashboards
- Why the team sees an MCP server as a requirement for future vendors
“The sensor-based count is definitely now our source of truth for diner estimates.
Workplace Intelligence Lead, global AI leader
Common questions
How do fast-growing companies plan office space during hypergrowth?
This AI company replaced manual headcounts with Butlr sensor data across six offices, giving its workplace team one trusted occupancy source for space allocation, dining, and gym planning.
Can occupancy data be used to forecast cafeteria demand?
Yes. The company's sensor-based count is now its official diner estimate, shared through a dashboard with its food service vendor.
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→From Manual Counts to a Source of Truth | Butlr Case Study
How a fast-growing AI company onboarding 100+ people a week used Butlr to build one trusted occupancy data source across six US and European offices.
A fast-growing global AI leader was onboarding more than 100 employees a week at its peak, and hand-counted estimates could not keep up. Starting with one headquarters deployment, the team expanded Butlr sensors to dining areas, gyms, and offices across the US and Europe, all feeding a central data lake. Today the sensor-based count is the official source of truth for food services, gym planning, and space allocation.
global-ai-leader-case-study
