Fraud Triage Automation for Digital Payments
Reduced fraud review backlog using AI-assisted prioritization and identity document analysis.
Fraud Triage Automation for Digital Payments
Reduced fraud review backlog using AI-assisted prioritization and identity document analysis.
Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.
The Real Problem
1. Fraud review backlog exceeded 48 hours at peak
2. False positives frustrated legitimate customers
3. Identity document checks were manual
4. Analysts lacked risk-ranked work queues
What We Actually Changed
Implemented ML risk scoring with document verification, sanctions screening, and AI-prioritized queues so analysts focus on highest-risk cases first.
TOOLS AND METHODS USED
Delivery Journey
Risk Modeling
Transaction scoring, feature engineering
Triage System
Analyst queues, document AI
Production
Live monitoring, compliance sign-off
What Improved
Analysts work the right cases first. We cut backlog without sacrificing detection — customers notice the difference.
FOUNDER BRIEF
DELIVERY STACK
WANT A SIMILAR OUTCOME?
We can map your opportunity and constraints before you commit budget.
Request free feasibility studyarrow_forward