Why do many manufacturers pilot AI but struggle to scale it into daily operations?

Most plants hit the same five scale blockers: data quality issues, weak system integration, missing exception handling, skills shortages (especially in planning roles), and unclear security and governance. The gap is less about model sophistication and more about whether AI outputs can flow into existing ERP/MES/WMS processes.

More FAQs Around This Topic

Why is system integration the biggest bottleneck for operational AI in factories?
Why do many manufacturers pilot AI but struggle to scale it into daily operations?
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How does AI scheduling integrate with my existing ERP/MES and planning board?
What data is needed to use AI for production scheduling?