Fraud Pattern Explanation

Overview

This skill translates complex fraud detection signals into clear, human-readable explanations that fraud analysts, operations managers, and customer service teams can understand and act upon. It bridges the gap between black-box fraud scoring models and the human judgment required for manual review queues, chargeback disputes, and fraud rule optimization. For each flagged transaction, it produces a structured explanation of which signals triggered, why they are suspicious, and what the recommended action is.

When to Use

• When fraud analysts need to review flagged transactions and require clear explanations of why each was flagged
• When tuning fraud detection rules and needing to understand false positive vs. true positive patterns
• When customer service agents need to explain holds or declines to legitimate customers
• During chargeback representment when documenting fraud evidence
• When reporting fraud trends to leadership and needing narrative context beyond statistics
• When training new fraud analysts on pattern recognition
• After fraud model updates to validate that new signals behave as expected

Required Inputs