Highlighting the shift from PoC demos to production MLOps is critical. Far too many enterprise AI projects stall due to weak data pipeline foundations or lack of continuous model drift monitoring. Aligning business KPIs with robust data engineering before building models is where real project success happens. Excellent framework!