A multinational bank listed on the London Stock Exchange sought to improve loan processing by reducing errors, delays, and manual workloads. Aspire Systems implemented the Hyperlend cognitive automation framework with machine learning algorithms for document processing and automated underwriting, supported by NLP and real-time monitoring. Built with Python, Django, and OpenCV, the solution eliminated paperwork, cut origination costs, and reduced manual entry. Benefits included 80% faster loan processing, improved transparency, higher data accuracy, electronic signatures, and continuous improvement through analytics, enabling efficient and error-free lending operations.

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