Staffordshire University and Currie Young Limited KTP 24_25 R3

A company handling insolvencies is replacing manual paperwork with artificial intelligence to find clients faster and automate routine tasks. The insolvency sector currently relies on slow, labour-intensive processes for marketing, client intake, and case management. This project integrates AI, natural language processing, search engine optimisation, and data analytics into a single platform. The goal is to automate lead generation, improve how the firm engages with clients, and streamline back-office operations. If successful, the system could cut the time spent on administrative tasks, allowing staff to focus on complex cases. For clients—often distressed individuals or struggling businesses—this could mean faster responses and clearer communication. The project also aims to set a new industry benchmark for efficiency, potentially reshaping how insolvency practitioners across the UK operate. While the immediate impact is on business processes rather than public-facing services, the ripple effects could include lower costs and more predictable timelines for those going through insolvency.