Climate Exposure Scoring

Climate Exposure Scoring uses AI to perform scoring for assets, sites, suppliers, climate hazard layers, and vulnerability indicators, enabling more consistent climate risk prioritisation, by combining historical loss, geospatial exposure, forecast scenarios, and asset sensitivity into location-level risk scores, across enterprise risk, insurance, real estate, and sustainability workflows.

Climate risk teams must evaluate thousands of assets, sites, suppliers, and infrastructure dependencies against changing physical hazards. Manual assessment is slow, inconsistent, and difficult to repeat across scenarios, regions, and time horizons.

The AI performs scoring on asset, geospatial, climate hazard, vulnerability, and operational data and produces physical climate exposure scores by location or portfolio segment. The output is reviewed inside climate risk and resilience planning workflows.

The primary metric is climate exposure assessment coverage; the target direction is higher coverage and shorter assessment cycle time across the portfolio.

• •Asset locations, values, vulnerability attributes, climate hazard layers, and scenario horizons are available for the assessment boundary.
• •Geospatial, risk, insurance, or asset management systems can receive location-level exposure scores and scenario outputs.
• •Climate scenario assumptions, hazard definitions, and review governance are agreed by risk and sustainability owners.