Case Study

Transforming Financial Decision-Making with AI-Powered Risk Intelligence

Financial Services / Fintech

Keylent enabled a 75% reduction in fraud incidents and a 50% improvement in loan approval accuracy with real-time risk scoring and explainable AI.

Project Overview

A rapidly growing fintech firm faced challenges in scaling credit risk assessment while maintaining fraud prevention. Traditional models were slow, rigid, and missed nuanced behavioral signals. Keylent built a Financial Risk Scoring Tool that integrates real-time transactions, behavioral analytics, and external credit signals to generate dynamic risk profiles, enable instant credit decisions, and detect fraud proactively, with full regulatory traceability.

Key Challenges

Inaccurate Credit Scoring Models

High Fraud Exposure

Low Approval Efficiency

Compliance & Audit Complexity

Our Solution

  • Risk Scoring Engine
  • Real-Time Fraud Detection
  • Dynamic Risk Dashboards
  • Explainable AI & Audit Trails

Key Technologies

XGBoost & LightGBM for predictive risk modelingPython & AWS Lambda for real-time scoring and fraud detectionSnowflake for secure warehousing and analyticsPower BI for risk visualization and reportingAWS Cloud Infrastructure for scalable deployment and compliance

Impact

75%

Reduction in fraud incidents

50%

Increase in loan approval accuracy

80%

Faster credit decision turnaround

Client Testimonial

“The AI models are fast, accurate, and adaptive, and the fraud detection system has saved us millions. We now make smarter decisions in seconds, not days.”

— Head of Risk & Compliance, Fintech Enterprise