Generative AI in Insurance

Generative AI is transforming insurance knowledge work by automating tasks that previously required human language skills: drafting correspondence, summarizing complex documents, answering questions, generating reports, and powering conversational interfaces. In claims, generative AI drafts coverage determination letters, settlement correspondence, and claims summaries — tasks that consume significant adjuster time. In underwriting, it generates submission summaries, risk assessment narratives, and declination letters.

Customer-facing applications include policy explanation chatbots, personalized coverage recommendations, and automated FAQ responses. Internal applications include regulatory filing drafts, training material generation, and meeting summarization. The insurance industry's adoption is accelerating but cautious: accuracy requirements are high (incorrect policy interpretations or claims decisions have legal consequences), and regulatory expectations around AI governance apply to generative systems.

Most carriers deploy generative AI with human-in-the-loop review for customer-facing and decision-impacting outputs, while using it more freely for internal productivity tools. The technology is most transformative for knowledge-intensive roles — underwriters, claims professionals, and compliance staff — where it augments human expertise rather than replacing it.