How Agentic RAG in Insurance Can Support Claims Without Making the Final Decision Alone
Agentic RAG in insurance can streamline claims processing by retrieving policy information, validating evidence, and generating recommendations while keeping final decisions with qualified professionals.
Insurance claims often require professionals to review policy documents, claim forms, supporting evidence, and coverage rules before reaching a decision.
As insurers adopt AI, claims processing is becoming an important area for applying AI to information-intensive workflows.
The opportunity is already emerging. A Deloitte survey of 200 U.S. insurance executives found that 76% had implemented generative AI in at least one business function, with claims handling among the areas reporting GenAI implementations.
This makes Agentic RAG in insurance a useful application to explore. Unlike basic RAG, which typically retrieves information to answer a query, Agentic RAG can coordinate multiple steps, including retrieving relevant policy clauses, validating claim details, identifying missing information, and generating a structured assessment.
The goal is not to let AI approve or...
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