AI Climate Risk Assessment
The Problem
“Quantifying property-level climate risk for decisions”
Organizations face these key challenges:
1
Climate risk data is fragmented and inconsistent across sources, making underwriting conclusions hard to compare across markets and assets
2
Manual, consultant-driven assessments are slow and expensive, limiting screening to a small subset of deals and delaying investment decisions
3
Difficulty translating hazard maps into financial terms (NOI impact, capex, insurance availability) leads to mispricing and weak mitigation planning
Impact When Solved
Property-level hazard, vulnerability, and expected loss outputs that standardize climate risk underwriting across acquisitions, lending, and asset managementContinuous portfolio monitoring with alerts for changing hazards, new regulations, and insurance market shifts to reduce surprise losses