Identify Suspicious Claim Networks and Organized Fraud

Organized fraud rings often submit multiple claims with subtle variations or shared characteristics (e.g., same providers, similar incident descriptions). Identifying these networks manually is challenging. LLMs can analyze large volumes of claims data to detect hidden connections, repeated patterns, and coordinated activities across seemingly unrelated claims. For example, an LLM could identify multiple auto accident claims involving the same medical clinic and attorney within a short timeframe.