Industrial AI only becomes useful when it understands failure modes, symptoms, operating context, verified fixes, and outcomes as connected knowledge.
Frontline workarounds are not just bad habits. Captured properly, they reveal documentation gaps, risk drift, training needs, and high-value operational knowledge.
Frontline AI should start with the real questions workers ask every shift: isolation, procedures, torque specs, troubleshooting, and source verification.
