Novel Patterns brings AI-first capabilities to every stage of the lending lifecycle — from intelligent document analysis and automated underwriting to fraud prevention, cash flow scoring, and proactive risk management — all built specifically for India's BFSI ecosystem.
From the first loan application to portfolio monitoring — AI capabilities embedded at each step of the lending workflow.
Purpose-built AI models trained on millions of BFSI transactions — not general-purpose ML adapted for finance.
Our customers report consistent improvements across turnaround time, accuracy, operational efficiency, and risk management.
Designed with input from practitioners across credit, risk, operations, compliance, and technology functions.
How financial institutions apply this solution across their business operations.
Novel Patterns builds AI for BFSI with regulatory requirements, ethical guardrails, and institutional accountability built in — not added later.
Yes. CART's AI models are trained primarily on India-specific BFSI transaction data — covering Indian bank statement formats, RBI-regulated credit bureau data, Indian lender underwriting patterns, and India-specific fraud typologies. This domain specificity significantly outperforms general-purpose ML models for Indian lending use cases.
CART includes a model monitoring framework that tracks prediction accuracy, score distribution stability, and performance on hold-out samples on an ongoing basis. Models are retrained when performance degradation is detected, with version-controlled deployment and parallel testing before full rollout.
Yes. CART offers institutional model customization — fine-tuning base models on institution-specific historical data to calibrate for the lender's specific borrower mix, product profile, and historical loss patterns. Custom scorecards and institution-specific rule overlays are also supported.
Novel Patterns' AI systems are designed with RBI's Fair Practices Code in mind — every credit decision can be documented with the primary factors that led to the outcome, enabling compliance with adverse action notice requirements. Model documentation and validation reports are available to support regulatory model risk management frameworks.
Novel Patterns' AI capabilities are delivered via REST APIs — designed to integrate with, not replace, existing technology stacks. Lenders can adopt specific AI capabilities (bank statement analysis, fraud detection, etc.) without replacing their existing LOS, CBS, or data infrastructure.
Talk to our team about where AI can have the most impact on your specific lending workflow — a no-obligation conversation with a solutions specialist.