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MEASURED CASE STUDY

Global Information Systems Company |  Right-sizing with measured savings

The pilot linked accurate demand forecasting directly to site-level OpEx, rent and fit-out avoidance.

CHALLENGE

Needed a defensible answer to whether a certain market was materially over-spaced and whether future lease or fit-out spend could be avoided.

HOW UNIFYAI HELPED

Learned attendance patterns, simulated daily seat allocation, and re-orchestrated collaborators into denser layouts without sacrificing team adjacencies or requirements.

WHAT THE POC PROVED

Demand was materially lower than assumed, creating specific right-sizing levers rather than a generic utilization story.
WHAT THE MODEL LEARNED
33
avg/day
178
capacity
22
site density
  • Current footprint
    vs.
    Supportable footprint
  • ~20k RSF current footprint
  • ~6k RSF needed for average demand
  • 10k–14k RSF avoidable
1.5 zones
56 desks
~100 wp
MEASURED VALUE CREATED
$120K–$160K
annual OpEx avoidance
$450K
future rent avoidance
$800K–$1.0M
avoided fit-out
92% forecast accuracy
95.66% co-attendance
98.66% co-location

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