Manchester Metropolitan University and TVS Supply Chain Solutions Limited KTP 24_25 R1

A company is building an artificial intelligence system that can assess and manage how well its own workforce adopts AI tools across the entire organisation. This matters because many large companies struggle to move beyond isolated AI experiments. They lack a systematic way to measure which teams are using AI effectively, where training is needed, and how to turn scattered AI projects into reliable, productised solutions that generate revenue. Without such a system, AI investments often remain piecemeal and fail to deliver enterprise-wide returns. If this research succeeds, TVS Supply Chain Solutions will embed an AI assessment and management system that accelerates company-wide AI adoption. The system will help identify which AI-led products are worth scaling and which teams need support, turning AI from a collection of ad-hoc projects into a structured, operational capability. For a logistics and supply chain company, this could mean faster, more efficient operations—improving the invisible infrastructure that moves goods from warehouses to customers. The project is applied commercial research, not fundamental science, and its immediate impact will be on the company’s internal operations rather than on broader society.