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Guided by Organizational Information Processing Theory, we developed an expert system to automate quality control and facilitate early fault detection. This novel approach enhances quality control within this production stage and could potentially impact other levels of the supply chain. We contribute to the theory by providing a revised version of the Organizational Information Processing Theory framework which integrates technological advancements and variability of the task over time as critical factors affecting information processing, and shows the iterative nature of the digitalization process in SMEs. Operationally, the solution increases defect identification from 6% at end-of-line to 15% through step-by-step checks. 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