◆ See Around Corners
Climate Risk Intelligence
Price the physical risk into a long-term commitment before you sign — not after.
◆ The Situation
You are signing a 10-year lease. Buying a commercial property. Committing to a supplier in a region chosen for cost reasons. The question of what that location's physical risk profile will look like in Year 7 — more flood-prone, more heat-exposed, more likely to face infrastructure disruption — is not being asked in most small business decisions. It is being asked in every institutional real estate decision. The data that powers those assessments is publicly available.
◆ The Complication
Institutional real estate investors and insurance underwriters have used probabilistic climate scenario modelling to price physical risk into long-term asset decisions for years. The analytical tools that make location-specific 30-year risk assessments accessible now exist for individual business decisions — not as weather forecasts, but as probability distributions across multiple climate scenarios for specific physical variables that affect property value, operating conditions, and supply chain reliability.
◆ What We Do
For any long-term location commitment or supply chain decision you are evaluating, we run 30-year probabilistic climate scenario analysis on the specific site or region. We assess flood risk probability, heat stress exposure, and infrastructure vulnerability across multiple scenarios.
We translate the result into a business-relevant view of the physical risk embedded in a long-term lease, a property purchase, or a supplier relationship. This is not a reason to avoid any particular decision — it is information that should be in the room before the decision is made.
◆ What it looks like in practice
A logistics operator evaluating warehouse space in a flood-adjacent location runs climate risk modelling on the specific parcel before signing. The 30-year analysis shows meaningfully elevated flood frequency probability under two of three modelled climate scenarios — information that appeared nowhere in the broker's site summary. The operator uses the risk data to negotiate a lower lease rate and a more favourable exit clause — or walks to a drier site two kilometres north with a materially different risk profile.
The intelligence is available. The question is whether anyone is pointing it at your problem.
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