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Insurance Fraud Detection Agent

Catches fraudulent claim patterns before adjusters waste hours on them.

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Insurance Fraud Detection Agent
The Scenario

The problem
being solved

Fraudulent claims compound losses. Detection traditionally happens at two extremes — automated rule-based scoring (high false positive rate, blunt) or human SIU investigation (slow, expensive, only triggered after the fact). The middle ground — surfacing claims that warrant a closer look earlier in the process — is where most insurers leak money.

The Solution

How this
agent works

We build a fraud detection agent that scores incoming claims for anomaly patterns the moment they arrive — comparing against historical claim graphs, claimant/provider networks, and ring-fraud signals. Adjusters receive a fraud-likelihood score with the specific reasons surfaced, not a black-box flag. Lifts SIU referral quality and reduces wasted adjuster hours on obviously fraudulent claims.

How It's Built

Custom-trained on your claim history and fraud patterns. 8-10 weeks for first deployment, with continuous retraining baseline.

Stack
LangGraphAnthropic ClaudeGraph DB (Neo4j or similar) for network signalsCustom anomaly scorerExisting claims system integrationAdjuster UI overlay
Projected Impact

A mid-size insurer wires the agent into its first-notice-of-loss pipeline. Each incoming claim gets scored against the carrier's own historical graph and claimant/provider network. Adjusters see a likelihood score with the specific reasons surfaced; SIU referrals shift earlier in the lifecycle and arrive with better evidence packages.

MetricBeforeAfter
Time to surface high-risk claimsDays to weeks (post-investigation)Minutes from claim intake
SIU referral qualityHigh false-positive rate from rules enginesReasoned scores with evidence trail
Adjuster hours on clearly fraudulent claimsSame as legitimate claimsRouted early; minimal adjuster time wasted
Capabilities
  1. 01

    Domain-trained

    Tuned on your insurer's specifics, not a generic out-of-the-box model.

  2. 02

    Audit-ready

    Every output cites its sources, every decision logs its inputs.

  3. 03

    Senior-built

    Architected and shipped by senior engineers; no juniors learning on your matter.

  4. 04

    Integrated, not bolted on

    Plugs into your existing claims system, not a parallel tool.

Production proof

Real engagements in this domain

Anonymized work with hard metrics — NDA-bound, no client names.

Insurance

Claims Processing Automation for Motor Insurance

72%

Processing Time Reduction

94%

Classification Accuracy

1.2 days

Avg Processing Time

The classification consistency was the biggest operational win. Adjusters are now working from standardised severity assessments rather than making independent calls on damage they have never seen before.

Head of Claims Operations, Motor Insurance Division

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