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Proactive monitoring system that combines multi-dimensional borrower data with AI to detect early signs of stress before defaults, enabling timely interventions.
Maintain long-term credit portfolio health through intelligent monitoring
Identify credit risk patterns before they escalate
Prevent defaults through timely action
Spot and reward low-risk borrowers to drive loyalty
Maintain long-term credit portfolio health
Comprehensive monitoring and intelligent risk detection
Continuously observe borrower behavior and activity
Instantly notify anomalies in borrower activity
Apply advanced models to quantify borrower risk
Categorize borrowers by behavior and credit profile
Detect risks using both rules and machine learning
Enhance accuracy through auto-retraining triggered by data changes
Present insights to support quick, informed decisions
Comprehensive data inputs for accurate risk assessment
Key indicators from loan account activity and customer interactions
Credit score trends, enquiry history, and repayment reliability
Signals from customer behavior, demographics, and external validations
Property-related risk signals and physical asset tracking
Insights from transactional behavior and banking patterns
Sectoral, geopolitical, and economic trends impacting risk
Early warning signals that trigger proactive interventions
Persistent EMI delays in last 12 months based on DPD trend
Property value stagnant, dues on utility/tax bills, or asset misuse
Noticeable reduction in income, savings, or turnover from bank/ITR data
Address/phone change, PEP/criminal match, or failed communications
Falling credit score, loan bounces, or worsening DPD. Multiple recent credit/top-up enquiries
Pre-closure, SoA, EMI restructure requests, or account changes
Consistently low/dropping balances, dormant account signals, or penalty charges
Combining rule engines and machine learning for accurate risk assessment
Set thresholds for clear risk triggers
Identify complex patterns for early detection
Aggregated risk level: Low, Medium, High
Multi-channel notifications and customizable alert mechanisms
Receive notifications via email, SMS, and app
Ensure critical alerts reach the right personnel
Tailor thresholds and rules to specific needs
What sets our Early Warning System apart
Our Strength
Loan, Bureau, Banking, Customer, Collateral, Industry (non-GST)
Competitor Gap
Most focus on Bureau + Loan only
Our Strength
Use borrower behavior (SoA, EMI changes, account shifts) as triggers
Competitor Gap
Rarely covered in standard EWS models
Our Strength
Combine expert rules with AI scoring for better risk classification
Competitor Gap
Competitors often lean on either rules or ML
Our Strength
Auto-retraining on data change for improved accuracy
Competitor Gap
Static scoring in most platforms
Our Strength
Customer segmentation enables proactive field action & collection prioritization
Competitor Gap
Competitors lack dynamic segmentation