Edinburgh Napier University and Fieri Leadership and Development Limited KTP 24_25 R1

A company is building an AI tool that scans job roles and employee data to pinpoint exactly what training people need, rather than relying on guesswork or generic courses. Most organisations currently base training decisions on outdated surveys, manager hunches, or one-size-fits-all programmes. This wastes time and money—UK employers spend billions annually on training that often misses the mark. The project uses large language models to analyse job descriptions, performance data, and skill gaps in real time, producing a precise, cost-effective training needs analysis in days rather than weeks. If successful, the tool could transform how companies invest in workforce development. Instead of buying off-the-shelf courses, a logistics firm might discover its warehouse supervisors need data literacy, not leadership training. A hospital could identify that its admin staff require specific software skills, not generic IT courses. The approach promises to make training budgets go further by targeting only what actually needs fixing. This is applied commercial research with a clear practical endpoint: a software product that helps organisations stop wasting money on irrelevant training and start closing genuine skill gaps.