Atlas · Agent contention simulator

Occupancy is not a number. It's thousands of people contending for space — floor by floor, hour by hour.

Atlas casts a workforce as live agents, runs them across a 3D model of the buildings you can orbit for two weeks, and watches where space holds and where it breaks. Then it scores every floor — and prices the cost of doing nothing.

Live agentsEvery head a moving person, not an average

A two-week runTen working days, half-hour by half-hour

Four lensesUtilisation · experience · holds-at-peak · cost

Cost of doing nothingThe sharing dividend, priced

Step 1 · Buildings

Whose buildings are we simulating?

Pick a financial-services archetype — it seeds the buildings, floors and space-type supply. The set spans the field: from a single relentless trading floor to a global, universal bank.

Step 2 · Personas

Who moves through it?

Compose the workforce from three FS ways-of-working — each becomes a live agent that contends for space differently

Hybrid policy — anchored days in office3 days

Total headcount —Weighted office presence —

Sharing ambition1 : 1.4

Sets how hard desks are shared — desk supply vs heads. Driven by the archetype; the engine stress-tests it.

Headcount growth — stress test+0%

Grow the workforce against today's footprint. Push this and set policy to 5 days to find where total space runs out.

Ways of working Desk-anchored

How the working day is spent across space types — today, and as routine work falls away

Step 3 · Moments

Which moments matter — and how much?

The experience moments the portfolio must serve well. Click once to track a moment, again to make it a priority — priorities weigh more than twice as hard in the experience score. Moments your persona mix relies on are recommended.

Each click raises a moment's importance: ○○ off → ●○ tracked → ●● priority. The score is the felt provision of every moment you keep, weighted by how high you rank it and how much your personas care.

Step 4 · Optimization lens

What does a good floor mean to you?

Set the priorities that frame the score. The lens re-ranks the portfolio; the toggles change how the engine optimises it.

HX focus — experience-led

Tilts the lens hard toward human experience & moments-that-matter coverage. Cost becomes a constraint, not the goal.

Auto-optimise supply

After the run, Atlas reallocates space-type supply to relieve contention and lift the weakest floors — then reports the optimised portfolio against the current one.

Simulation modeTypical week

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Portfolio

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Drag to orbit · scroll to zoom · click to drill in

Cinematic flythrough · exterior → building → floor

⚠ Critical

Two-week run complete

Ten working days simulated hour by hour. Every floor has been scored against your lens.

Mon09:00Week 1 · Day 1 / 10

Hour of daypresence —

Speed4×

Live read PORTFOLIO

Momentary occupancy at this hour, across the portfolio.

Space-type contention DEMAND vs SUPPLY

Where people physically are right now versus what's provided. Red = demand over supply. Tick = measured benchmark.

Measured area FLOOR

Net internal area by setting — quantities measured from the space program. Bars show each setting's share of programmed area.

Experience touchpoints FELT vs TARGET

Each chosen moment is scripted to a space type and time of day. Atlas benchmarks how it's felt right now against a target set by how high you ranked it — priority 80, tracked 65. The marker is the target; the bar is live.