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The article discusses the challenges in reconciling discrepancies between the as-designed, as-built, and as-maintained baselines in engineering and manufacturing. It highlights how AI can systematically identify these gaps, enabling better tracking and traceability, while emphasizing the human role in interpreting these discrepancies to ensure effective configurations and risk management.