MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202631056196 A) filed by Rabinarayan Dash on May 03, 2026, for An Integrated Computer-Implemented System And Method For Loan Origination And Credit Lifecycle Management With Multi-Method Credit Assessment, Data Extraction, Fraud Detection, And Cryptographic Audit Integrity.
Inventor includes Rabinarayan Dash.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT An integrated computer-implemented system and method for automating the complete loan origination and credit appraisal lifecycle in banking institutions is disclosed. The system comprises a mobile field application configured for GPS-tagged document capture and structured site inspection; a multi-stage data extraction pipeline comprising artificial intelligence-based extraction, rule-based pattern matching, and manual validation fallback for processing financial data from audited statements; a financial analysis module configured to compute a plurality of financial ratios, working capital assessments, and multi-period performance metrics; a composite credit scoring engine based on a set of weighted parameters; and a fraud detection engine comprising a plurality of detection rules operating across identity, financial, collateral, and behavioral categories. The system further comprises an immutable audit module implementing a cryptographic hash chain using HMAC SHA-256 for tamper-evident audit logging; a maker-checker enforcement mechanism with role-based hierarchical authority controls; and a configurable policy engine with version-controlled rules governing decision thresholds and workflow constraints. In one embodiment, the system operates as an event-driven processing pipeline wherein outputs generated by one or more modules are automatically persisted and propagated to subsequent modules to trigger conditional execution and workflow transitions, with provision for authorized exception handling. In a further embodiment, the system includes a monitoring module configured to continuously evaluate post-sanction borrower behavior using periodic financial inputs, transactional data, and external data sources including tax reporting systems, and to generate early warning signals based on predefined risk conditions. The system is further configured to initiate automated borrower communication and institutional alerts based on such conditions. The system is deployable in cloud, on-premise, or hybrid configurations and is operable with or without availability of artificial intelligence models. The invention enables automated, consistent, and tamper-evident credit decision-making while reducing manual data entry errors, improving fraud detection, and enhancing regulatory compliance across the lending lifecycle.
Disclaimer: Curated by HT Syndication.
