Enable Hyper-Personalized Policy Creation

The "one-size-fits-all" approach to insurance is becoming outdated. Customers increasingly expect policies tailored to their specific needs and risk profiles. LLMs analyze individual customer data (demographics, lifestyle, preferences, risk factors) to generate customized policy terms, coverage options, and endorsements. This moves beyond standard tiers to offer truly bespoke solutions. For example, an LLM could help design a homeowner's policy incorporating specific riders based on the customer's valuable collections, home business activities, and local environmental risks identified through data analysis. Deloitte found 67% of insurers saw portfolio improvements with AI-driven customization.