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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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