How it works
A workplace digital twin has three layers. The physical layer is the digital floor plan: buildings, floors, desks, rooms and their attributes. The data layer keeps it current: occupancy and presence, bookings, headcount and team structure from HR, and sometimes building systems such as energy. The decision layer runs scenarios against the model and shows the result.
In buildings and industry, digital twins often mean physics-based simulations of equipment and energy. A workplace digital twin focuses on people and space: which teams use which floors, how full each area is on each day, and what would happen if a team grew, moved or changed its office days.
The value comes from the loop. The twin shows today's pattern, a planner models a change, leaders approve it, and the change is applied to the real floor plan and bookings, which then feed the twin again. Without current data, it is only a 3D drawing.
How to measure it
- Check how current the floor plan is and who can edit it.
- Confirm the occupancy and headcount data are live, not one-off imports.
- Test a real question, such as closing a floor, and see whether the twin shows the desks, teams and moves affected.
- Check that approved changes flow back into the booking system.
Examples
- A real estate team models consolidating two floors into one, sees which teams would move and on which days the remaining floor would be full, and presents the options to finance.
- After a reorganization, a planner edits the floor plan, checks the new neighborhoods against last quarter's occupancy and activates the change.
Benchmarks
PwC and ULI report that physics-based digital twins of buildings and equipment have delivered energy cost savings as high as 30 percent. These are asset simulations, not workplace twins.
PwC and the Urban Land Institute, Emerging Trends in Real Estate: From Proptech to PropOS
Common mistakes
- Building a detailed 3D model with no live data behind it.
- Modeling the building but not the organization: headcount, teams and attendance.
- Letting the twin drift from reality because floor plan changes are not recorded.
How Kadence helps
Kadence keeps floor plans, bookings, occupancy and team data in one place. Editable Floor Plans (a WorkOps Pro add-on, included with SpaceOps) let admins edit plans in the browser, review the impact, activate changes and roll back versions. SpaceOps uses live attendance and occupancy data to build stack plans and compare scenarios, then publishes approved plans to WorkOps neighborhoods and assignments.
SpaceOps · Scenario planning · Space management
Frequently asked questions
What is a digital twin of the workplace?
It is a digital model of an organization's offices, spaces and people that stays current with real data, such as floor plans, occupancy, bookings and headcount. Leaders use it to see how space is used and to test changes before they happen.
What is the difference between a digital twin and a floor plan?
A floor plan is a drawing. A digital twin connects that drawing to live data about who uses each space and when, and lets you model changes against it. The data connection is what makes it a twin.
What is an organizational digital twin?
It combines data about people, teams, spaces and costs into one model, so planners or AI can test questions such as consolidating two offices or changing attendance expectations, and see the effect on space, cost and how close teams sit.
Do you need sensors to build a workplace digital twin?
No. Booking, check-in and network presence data can keep occupancy current, and HR data supplies headcount and teams. Sensors add detail for unbookable areas and building systems, but many workplace twins start without them.
Related terms
- Interactive floor plan A live, clickable map of an office that shows desks, rooms and people, and lets employees book space and find colleagues.
- Smart office A workplace that uses connected tools and data, from booking and room displays to presence and building controls, to fit real use.
- Stack planning A floor-by-floor plan of which teams occupy which floors and buildings, used to test moves and consolidations first.
- Workplace analytics Analysis of bookings, check-ins, attendance and occupancy data to guide decisions about office space, policy and services.
- Scenario planning Modeling several possible futures for space, cost and teams, and comparing them side by side before committing to one.
Sources
- From Proptech to PropOS: The Emergence of Real Estate’s Autonomous Future, PwC and the Urban Land Institute, Emerging Trends in Real Estate
Kadence editorial team · Last reviewed