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DEV / Data Science & AIEmployee-Facing

Decision Rules Tuning Agent

Fraud Rule Optimizer
Operational

"Suggests updates to fraud detection rules based on recent patterns."

Pipeline Health

Model DriftNegligible
Success Rate99.4%
Latency120ms
Cost/Op$0.002

Strategic Objectives

  • Reduce false positives
  • Catch new fraud MOs

Key Result Indicators (KPIs)

Target KPIDetection rate
Target KPIRule precision

Input/Output Pipeline

Modular Inputs

Transaction dataFraud analyst feedbackRule performance logs
Processing Layer

Self-optimizing transformer pipeline with RAG capabilities and cross-departmental data access.

Defined Outputs

New rule definitionsTuning suggestions

Collaboration Matrix

Fraud Analysts
Product Management