
A technology services organisation with several thousand engineers across multiple delivery centres, operating in a field where skills go out of date in months rather than years. Continuous upskilling was a commercial requirement - staffing new projects depended on it - yet training was organised course by course rather than around the capabilities each role actually needs.

Training was inconsistent across roles and teams, with the same course pushed to engineers at very different skill levels. Nothing tailored the journey to what an individual already knew or where their career was heading. Progress data sat in spreadsheets, so managers could not tell which capabilities the organisation had, or was missing, when bidding for new work.

TMA delivered an AI-powered learning platform organised around role-based learning paths rather than a course catalogue. A recommendation engine matches content to each learner's level and progress, and the platform runs on a microservices architecture designed to scale as user numbers and content volume grow.


Engineers learn on paths built for their role and level, which lifts both completion rates and on-the-job performance. Managers see capability across teams in one place. Manual training administration dropped sharply, freeing the L&D team to focus on content quality rather than coordination.

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