advisory statement
The client relied on manual credit scoring processes that delayed loan approvals and limited scalability. The challenge was to reduce the time spent on credit evaluation while maintaining full compliance with financial regulations.
Our Approach
Corrplus implemented a custom AI-based risk analysis engine capable of processing millions of data points per second. The solution integrated predictive modeling, real-time fraud detection, and explainable AI features to ensure transparency in decision-making.
Results & Outcomes
Decision-making time reduced by 40%
Accuracy in risk prediction improved by 25%
Full compliance with Basel III and GDPR standards
AI infrastructure now supports 10M+ annual transactions
project milestones
Data Infrastructure Audit
Analyzed legacy databases and risk workflows to identify inefficiencies and compliance gaps.
Performance Optimization
Continuous tuning of model accuracy and compliance alignment through live feedback.
AI Model Development
Built predictive models using historic transaction data to automate credit scoring.
Full AI System Integration
Embedded AI engine into the client’s core banking platform with real-time APIs.
brief description
Corrplus helped a leading financial institution automate its credit risk assessment model using AI — improving decision speed by 40% while maintaining compliance accuracy.
client
Global Bank Group
project budget
$1.2M
date started
16 May 2023
