AI onboarding companion in machine-tool engineering

Newly hired mechanical-engineering apprentices struggled to find their way through internal operating procedures grown inconsistently over decades. The experienced machinists had documented their calibration techniques over twenty years in loose text files, local network wikis and handwritten intranet posts.

Instead of demanding that all of this be rewritten into a formal learning-management system, we deployed a local, semantic search model. The AI assistant indexes the unstructured historical body of knowledge exactly as it is and lets new staff ask in natural language — the answer comes as a step-by-step instruction, complete with a direct link to the original authors' file.

Onboarding of new staff accelerated noticeably. The apprentices calibrate machine tools independently and safely sooner — and the masters' documentation culture, grown over years, stays fully preserved.