Your priorities go in as one question.
They come out as scenarios you can act on.
Drop your asset register and Prism's data agent will map it, validate it, and fill the gaps from benchmark data — or explore with the prototype portfolio.
.csv or .xlsx — building name, city, area, seats, rent, lease dates. Any column names; the agent maps them.
A fictional 12-asset APAC occupier — 9 cities, one owned campus, a flagship HQ with a live break option.
Every portfolio decision starts with a forcing function. Pick the one that's really driving this review — it sets how the engine weighs every trade-off.
Shape your workforce mix. Each work style carries its own attendance pattern and space signature — the demand model is built from this, not from desks you happen to have.
Real estate draws on two pockets of money: capex — the upfront investment in fit-out and assets — and opex, the rent and service fees paid over time. Your workforce already divides the portfolio into a stable anchor core and a variable flexible edge. The flexible edge is best served by specialist flex operators — managed-space or coworking providers — who fund and run it on consumption terms. The decision here is narrower: how to fund the anchor core.
Specialist agents score every asset, model demand from your persona mix, generate and validate actions, and assemble three costed scenarios — refracted through your drivers.
Each scenario is fully costed over ten years against doing nothing. The ranking reflects your weights — change your drivers and the winner can change.