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Axiobit

Risk & Claims

Fraud Signals

Flag suspicious patterns for human review, with reasons.

01 / The problem

The problem.

Fraud teams receive too many alerts or too few. Each alert costs investigator time, and the reasons are often unclear.

02 / What it does

What the agent does.

  • Scores cases for suspicious patterns
  • Explains each signal in plain terms
  • Sends cases to investigators, never decides alone

03 / How it is built

Built on ContextLab.

CONTEXTLAB01 · ONTOLOGY02 · PROCESS03 · FORMAL KNOWLEDGE04 · TACIT CAPTUREAITECHENTERPRISE AI AGENTS

Ontology

Case, party, relationship

Process

Investigation workflow

Formal Knowledge

Fraud indicators and thresholds

AI Technologies

Anomaly detection · Graph features · Gradient boosting

04 / Results

Typical KPIs we measure.

  • Alert precision

05 / Integration

Integrations and deployment.

Claims system · Core systems

On-premise or private EU cloud

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