Resilience & Sustainability

Hyperlocal weather intelligence is helping insurers respond faster, improve claims accuracy, and better serve policyholders in an era of increasingly severe storms.

Insurers increasingly rely on AI-driven property condition data to assess climate-related deterioration between catastrophic events, not just during them.

Catastrophe models excel at mapping where disasters strike but lack critical data on when and how events unfold over time.

Storm count doesn't predict multifamily risk, yet owners still treat a quiet forecast as permission to ease enforcement.

The flash floods that brought New York City to a standstill were another stark reminder that it is no longer enough to simply predict extreme weather. 

Bipartisan legislation would use federal mitigation funds to support parametric flood insurance, accelerating disaster recovery in underinsured communities.

Recent changes in the EU and California may delay climate risk disclosure requirements, but the need for organizations to understand the risks remains unchanged.

With El Niño forecast at 80% and AI-driven fraud rising, carriers must act now before disaster season arrives.