A Commercial-Property Rebuild Cost an Underwriter Can Take Apart

A rebuild cost usually arrives as a single static number an underwriter can't interrogate. Veridion delivered a per-building rebuild £ band where every pound traces to its multipliers and every multiplier to its source, refreshed on live occupancy signal rather than frozen at the point of estimate.

1. 1
   Replaced the static rebuild number

   a single figure with no working shown, frozen at the point of estimate

2. 2
   Decomposed every £

   base rate × regional, listed and specialist-trade multipliers, each one sourced and stress-testable

3. 3
   Split labour from materials

   across 14 UK regions, anchored to public earnings and producer-price data

4. 4
   Read live occupancy

   an operational-complexity score that separates two buildings of the same rebuild value by their restoration shape

5. 5
   Caught a virtual-office trap

   an address showing 3,810 tenants in 85 m² capped at £610k, not the £2.5bn a static table would compound to

6. 6
   Shipped a defensible rebuild band

   low/central/high with A–E confidence, every claim traceable to a public source, across 240 buildings (£5.56bn modelled)

A rebuild number with no working shown

The insurer underwrites commercial property, where the rebuild cost, what it would take to reinstate a building, is the number the whole policy is built on. That number usually arrives in the worst possible form: a single static figure with no working shown.

An underwriter handed one cannot see how it was derived, cannot stress-test the assumptions inside it, and cannot tell whether it still holds as a building's use and occupancy change. It is frozen at the moment of estimate and opaque by the time it is relied on.

The insurer wanted materially more on two axes in particular: depth, and live signal. The brief followed: a per-building rebuild estimate that is decomposed and auditable, every figure traceable to what produced it, and that reflects what is actually happening at the building now.

Every pound traced to its multipliers and sources

Veridion delivered a modelled rebuild £ band per building, low, central and high with an A–E confidence grade, across a 240-building UK listed pilot, 55 fields per row in nine logical groups. Every £ figure traces to its multipliers: a base rate adjusted by regional, listed-status and specialist-trade factors, with 14 UK regions decomposed into labour and materials components, anchored to public earnings and producer-price data, that an underwriter can see and stress-test row by row.

Around the band sits the operational layer a static dataset cannot carry. A live occupancy signal drives an operational-complexity score, built from tenant count, category diversity, employee density and concentration risk, that separates a 244-tenant office block from a single occupier at the same rebuild value, the business-interruption shape two identical headline figures hide.

And the live signal guards the model: one company-formation address resolved to thousands of tenants in 85 square metres, physically impossible, and the virtual-office flag caps it at £610k before it compounds to a naive £2.5bn, a trap a static rebuild table has no way to catch.

Heritage and net-new signals come from public records, a structure older than it looks, a documented wartime restoration, each backed by a verbatim quote and a URL, and the vision read returns “unknown” rather than guessing.

A rebuild figure the underwriter can defend

The insurer gets a rebuild figure it can defend: a band with a stated confidence, every pound decomposed to its multipliers and sources, and the assumptions visible and stress-testable rather than buried in a black box.

Because the data is read from public evidence and the live company graph rather than frozen at the point of estimate, the figure reflects the building as it stands now, its current tenants and real operational complexity, and moves as those do.

It composes with the insurer's own base rate, which can substitute a published cost-information-service or loss-anchored £/m² with the multipliers re-deriving unchanged, and is ready to run head-to-head against the insurer's loss data in a calibration phase.