PORTFOLIO

Financial institutions often struggle with the manual bottleneck of verifying thousands of diverse documents, where human error and sophisticated fraud can lead to costly delays or high-risk approvals. We addressed this by developing a data parsing, verification and reconciliation system. Critical data, such as net income from various payslip formats, are parsed and reconciled; while simultaneously flagging fraudulent statements. By replacing slow, manual cross-checking with intelligent automation, we streamlined and revolutionised the loan approval process.

Built using our custom trained deep learning model, conventional Optical Character Recognition (OCR) and LLM-powered data extraction, this solution achieves a near-perfect accuracy rate of over 95% for most of the common circumstances. This system empowers our client to look beyond simple data entry, uncovering the potential for near-instant loan processing.