Spot financial distress early and protect your portfolio with AI-driven intelligence.
See how smart rules and seamless workflows drive better decisions.
CORE FEATURES
Real-time insights, automated workflows, & compliance built into every feature.
Track borrower behavior, transactions, & credit anomalies in real-time to detect early signs of risk.
Assign dynamic risk scores using advanced ML models to predict defaults and enable timely interventions.
Receive instant Email and App alerts on borrower risks to act before they escalate into NPAs.
Visualize portfolio health and risk trends with Angular-compatible dashboards built for actionable insights.
Engage at-risk borrowers with automated offers and payment plans to reduce churn and preserve relationships.
Ensure RBI/GDPR compliance with full audit logs and transparent tracking of all risk decisions.
HOW IT WORKS
See how AI, automation, and real-time monitoring transform risk management.
Use machine learning credit risk models to detect early warning signals and predict defaults with high accuracy.
Track borrower behaviour continuously with automated credit monitoring and dynamic risk scores that reflect changing conditions.
Trigger retention workflows with our NPA management software to engage at-risk borrowers and protect loan quality.
KEY BENEFITS
Turn risk into opportunity with measurable impact across your lending operations.
Predict and prevent defaults early to cut NPAs by up to 15% yearly.
Prioritize collections with real-time risk insights for faster, smarter recovery.
Detect stress early and engage borrowers to protect loyalty and assets.
Gain real-time insights into portfolio health with dynamic risk dashboards.
Automate monitoring to reduce manual effort and speed up turnaround.
Track ROI and performance through smart dashboards and reports.
WHAT SETS US APART
AI-powered insights, credit transparency, and automated interrogation for comprehensive risk management.
Predict defaults with precision using models trained on millions of loan records.
Understand every risk score with SHAP and LIME-powered model interpretation.
Get instant borrower distress alerts for proactive portfolio management.
Combine loan, bureau, banking, and macroeconomic data for deeper portfolio insights.
Connect effortlessly via RESTful APIs and PostgreSQL for end-to-end credit risk monitoring.
Continuously refine risk accuracy with self-learning, auto-retraining ML models.
QUICK ANSWERS
Get clear answers to your most common questions no confusion, just transparency.
An Early Warning System (EWS) is an AI-powered credit risk management platform that analyzes borrower data to detect early signs of financial distress. It helps lenders predict potential defaults, reduce NPAs, and take proactive action before loans become non-performing assets.
Our credit risk monitoring software identifies at-risk borrowers up to 6 months before default using machine learning models. This early detection enables timely interventions like restructuring or retention offers, reducing NPAs by up to 15% annually through proactive risk management.
The platform analyzes transactional data, behavioral patterns, credit bureau information, payment history, account activity, and custom business rules. Our loan monitoring system processes multiple data sources to create comprehensive risk profiles for accurate predictions.
Using SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations), our platform shows which factors contributed to each risk score. This transparency supports compliance, builds trust, and helps risk teams understand AI-driven decisions in credit risk assessment.
Yes. Our lending risk management software integrates with most loan management systems, core banking platforms, and credit bureaus through standard APIs. We support PostgreSQL, MySQL, Oracle, MongoDB, and custom database connections for seamless data exchange.
