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Identify Inconsistencies Across Claim Documents
Benefits:
Accuracy, Speed, Efficiency
Category:
Fraud Detection & Prevention
Use Case
Fraudulent claims may contain conflicting information across different documents (e.g., FNOL report, police report, medical bills, witness statements). Manually cross-referencing all details is time-consuming. LLMs can read and compare information across multiple documents within a claim file, automatically highlighting discrepancies in dates, locations, injury descriptions, or reported facts. This helps investigators quickly pinpoint potential misrepresentations.
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