FinTech Client

AI solved the mismatch between space availability and attendance by dynamically adjusting team zones each day. Department heads' concerns about being located near incompatible teams were addressed through connection-based proximity rules.

Challenge

Through traditional methods, manual neighborhood planning caused uneven distribution that created various friction points between departments, limiting employee productivity and causing undue harm to employee experience.

  • 60% of teams entered the office without allocated space.
  • 80% of scheduled teams had too much space;
    • 15% had too little.
  • Collaboration space was being “camped” by teams without space.
  • Noise issues between incompatible departments.
Manual planning couldn’t flexibly accommodate real attendance patterns or collaboration needs. Employees frequently came in on days they weren't scheduled, leading to space competition.

No Real-Time Forecast

  • Office: ~380 desks across 2 floors
  • Headcount Allocation: ~750 employees
  • Hybrid Policy: 2 days/week minimum in-office
Before deploying the Unify AI solution, they believed the solution to their office space and collaboration challenges was to manually allocate team neighborhoods that varied by day of the week.

This meant:

  • Teams were given assigned neighborhoods only on certain days, and employees could only attend the office when their team had a designated space.
  • The assumption was that pre-scheduled, static planning—even if complex and rotated—could match space to demand.

The Results

Configurations informed by AI:

  1. Applied contingency rules fordynamic teams.
  2. Fixed zones for HR and ITSupport.
  3. Fixed individual desks for selectroles (EAs, etc.).
  4. Zoning: Quiet Zones andCollaboration Zones.
  5. Proximity connections: e.g.,Engineering co-located.

Quantitative Results:

  • 100% success in fixed space assignment.
  • 100% correct zoning allocations.
  • 96% forecasting accuracy.
  • 89% of connected teams were co-located daily.

AI solved the mismatch between space availability and attendance by dynamically adjusting team zones each day. Department heads' concerns about being located near incompatible teams were addressed through connection-based proximity rules.
AI grouping

AI correctly grouped teams thatneeded to work together.

AI Prediction

AI predicted daily teamattendance and provided the right amount of space for each team accordingly.

Outcome

Successful allocationaccuracy and collaboration enablement.

96%
Forecasting Accuracy

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