How AI Preserves Expertise in Manufacturing

Industrial AI in Practice How AI Preserves Expertise in Manufacturing

2026-07-03 Source: Limtronik | Translated by AI 3 min Reading Time

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The shortage of skilled workers and the retirement of experienced experts threaten the expertise in electronics manufacturing. The EMS service provider Limtronik relies on AI-based assistance systems to preserve implicit knowledge and integrate international professionals more quickly.

At Limtronik, the use of AI is not based on an isolated innovation project but on a digital infrastructure that has been developed over years.(Source: © Alexander – stock.adobe.com) — At Limtronik, the use of AI is not based on an isolated innovation project but on a digital infrastructure that has been developed over years.
(Source: © Alexander – stock.adobe.com)

In the highly variant electronics manufacturing operations at Limtronik, industrial engineers are tasked daily with quickly evaluating product changes, adapting processes, and taking appropriate measures in case of deviations. Many of these decisions are based on experience built up over years.
At the same time, Limtronik faces the challenge of securing this knowledge for the long term. Experienced professionals are gradually retiring, while new employees—often from international backgrounds—need to become productive more quickly. Additionally, complexity is increasing due to ever more individualized customer requirements and shorter product life cycles. "We see on a daily basis how crucial quick access to reliable knowledge is for stable processes," explains Gerd Ohl, Managing Director at Limtronik. "Our goal is to both preserve this know-how and make it so readily available that it can be used immediately in day-to-day operations."

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