AI Fraud Detection
System for a Digital Payments Platform
AI Fraud Detection
Success Data
Reduction
in fraud alerts.
Decrease
in fraud-related financial losses.
The client required a solution that could
Detect fraud patterns that change quickly and cannot be caught by fixed rules.
Process transactions and generate risk scores in real time.
Reduce manual review work by providing clear, explainable AI decisions.
Uses ML models and anomaly detection to analyze transaction behavior patterns.
Provides sub-second fraud scoring for each transaction.
Profiles user, device, and location patterns to detect abnormal actions.
Gives clear reason codes for risk scores to support compliance teams.
Many real customers were incorrectly flagged, leading to lost users.
Too many cases required manual checks, slowing decisions and raising costs.
Fraudsters easily adapted and found ways around fixed rules.
Hiteshi addressed the client's concerns through the following solutions.
01
Improved fraud detection accuracy using adaptive machine learning.
02
Decisions were made 3 times faster through automated risk scoring.
03
Major cost savings by reducing the need for manual work.
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