The insurance industry faces a fragmented artificial intelligence integration landscape. Each AI application requires custom connectors to enterprise data sources, creating substantial technical debt and limiting AI effectiveness. As carriers scale AI initiatives across underwriting, claims, and customer service, this point-to-point integration model becomes increasingly unsustainable. Anthropic’s Model Context Protocol (MCP) offers a potential solution and has quickly become the de facto standard for AI integration.
This report explains MCP’s architecture, examines insurance-specific applications, addresses security considerations, and provides implementation guidance for carriers evaluating AI integration strategies.
Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.
This report mentions Anthropic, OpenAI, Google, Microsoft, Mulesoft, Block, Sure, Socotra, and Allianz.
About the Author
Jack Krantz
Jack Krantz is an Advisor at Datos Insights. His expertise includes earth and atmospheric sciences as well as applications of numerical modeling, machine learning, and artificial intelligence. Prior to joining the firm, he was a firefighter, a postdoctoral investigator at the Woods Hole Oceanographic Institution, and a professor at Brown University. He has both a Ph.D. and an M.Sc. in...