solution

Key Features for the AX Transition

Business Application

디아이큐브 CSS

DI CUBE CSS

DI CUBE CSS

Faster, More Sophisticated Credit Screening:
Powered by Business Rules and Data.

By automating complex credit screening processes,
we enhance screening speed, consistency, and operational stability.

DI Cube CSS is an automated credit assessment solution that helps financial institutions conduct credit reviews more quickly and accurately.
By combining business rules with a data-driven decision-making framework, it enhances consistency and operational efficiency throughout the entire credit assessment process and provides systematic support for the entire credit assessment workflow—from strategy formulation to validation, implementation, analysis, and refinement.
디아이큐브 CSS 설명 이미지

Main Functions

Automatic application of credit review policies and operational rules

Decision support based on scoring and predictive models

Standardized assessment outcomes and consistent decision-making

Rapid rule updates and operational control when assessment strategies chang

Simulation-Based Pre-Validation of New Strategies

Real-time assessment and high-volume batch processing

Strategy Version Management and Change History Tracking

Operational monitoring and assessment result analysis

Key Features

A framework that combines rule-based automation with AI/ML-driven decision-making

Enables the systematic incorporation of business criteria and risk policies into the system

Allows even complex review logic to be implemented in a format that is easy to manage from an operational perspective

Provides a flexible operational environment where business users can manage strategies directly

Enables strategy optimization through simulation and the Champion-Challenger method

Seamlessly integrates with the DI-Cube-based decision-making framework

Benefits

Faster review processing
Standardization of review criteria and reduction of discrepancies
Reduced reliance on manual labor and mitigation of operational risks
Shorter customer response times and improved review productivity
Enhanced ability to respond to strategic changes and improved operational agility
Expanded automated approvals and stronger review competitiveness