Improve Resource Allocation for Catastrophe (CAT) Events

Following a catastrophic event (hurricane, wildfire), insurers face a surge in claims requiring rapid resource deployment. LLMs can analyze incoming claims data, weather reports, and damage imagery (where available) in real-time to help predict claim volumes in specific geographic areas, assess severity patterns, and optimize the allocation of adjusters and resources to the hardest-hit locations. This leads to faster response times for affected policyholders during critical periods.