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Analyze Text for Suspicious Language or Sentiment
Benefits:
Accuracy, Improved Decision-Making
Category:
Fraud Detection & Prevention
Use Case
The way a claim is described or communicated can sometimes contain clues to its legitimacy. LLMs can analyze the unstructured text in claim narratives, adjuster notes, or customer communications to identify language patterns, sentiment shifts, or specific phrases that are statistically correlated with fraudulent activity based on past cases. For example, flagging claims using overly vague or evasive language when describing an incident.
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