In claims already processed — surfaced by cross-claim and historical intelligence that rule-based screening cannot reach.
— Agents / Fraud Intelligence Agent
Fraud Intelligence Agent
From suspicious signals to investigation-ready intelligenceDetect fraud patterns humans miss.
AI that investigates every claim, document, image, invoice, vendor and historical record — connecting hidden signals to uncover fraud before it becomes a payout.
— What it does
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01
Cross-claim
Cross-Claim Intelligence
Detect duplicate claims, reused evidence, recurring entities and suspicious patterns across millions of records.
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02
Vision
Visual Fraud Detection
Identify image reuse, manipulation, damage inconsistencies and suspicious visual evidence.
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03
Network
Entity & Network Intelligence
Connect claimants, garages, vendors, vehicles, invoices and investigators to reveal hidden relationships.
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04
History
Historical Pattern Analysis
Compare every new claim against years of historical data to surface anomalies and known fraud patterns.
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05
Evidence
Explainable Investigations
Give investigators the evidence, connections and reasoning behind every fraud signal.
Don’t just flag suspicious claims. Investigate the intelligence behind them.
03 Between the claims
Some of what we do saves effort. Some of it finds what no one could.
Adjudicating faster is a cost story with a headcount answer. Surfacing a collusion ring no reviewer could have seen is a different line on the P&L.
A single inflated labour line is invisible. The same inflation, on the same operation, at four dealers who share a parts supplier, is a finding — and it exists only once every claim is in the same place.
— Return
— Start here
Your closed claims are an answer key. Let us be graded against them.
Send us nothing. We send you one file, your own IT runs it offline against a single export of closed claims, and you keep what it finds either way.