AGENT 29 / 11 · RETAIL & E-COMMERCE · INSURANCE OPERATIONS

Insurance Fraud Investigator

Scores every claim's filing behavior, network relationships and invoicing pattern for fraud probability, and weighs prevented losses against the investigation cost of chasing false positives.

READS FROMClaims history, repair shop invoicing, network data

MCP SERVERInsurance Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TOFNOL Intake Agent

RUN THE AGENT

Set your claim volume, model the detection economics

Adjust claim volume, fraud rate and detection accuracy and the agent recalculates losses prevented and net savings instantly.

ASSUMPTIONS

Monthly claims 6000

Estimated true fraud rate 4%

Fraudulent claims correctly flagged 70%

Legitimate claims incorrectly flagged 5%

Average fraudulent claim value (£) 8500

Cost to investigate a flagged claim (£) 280

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Fraudulent claims caught / month

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Losses prevented / month

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Investigation cost / month

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Net savings / month

Metric	Value

HOW IT WORKS

What the agent actually does

1. Score every claim	Analyzes claim filing behavior, claimant and repair-shop network relationships, and invoicing patterns against known fraud signatures.
2. Flag anomalies	Surfaces claims with an elevated fraud probability for investigation, ranked by expected recovery value.
3. Balance precision and recall	Tunes the flagging threshold to catch genuine fraud while limiting the false-positive burden on legitimate claimants.
4. Hand off	Routes flagged claims to special investigations, and confirmed fraud patterns back to the FNOL Intake Agent's routing rules.