Why AI Alone Won't Fix Engineering Reviews
AI needs engineering context: part role, material, manufacturing process, assembly constraints, rule history and human approval.
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AI needs engineering context: part role, material, manufacturing process, assembly constraints, rule history and human approval.
Geometry shows shape, but not engineering intent. Review decisions require context from PLM, rules, history and downstream processes.
The next step is not replacing designers. It is giving teams an AI-assisted role that reviews, recommends and learns from decisions.
Static rules are useful, but real engineering decisions require exceptions, decision trees, feedback and historical patterns.
Senior engineers carry review patterns and design judgment. Companies need a structured way to preserve that knowledge.
Most teams have CAD and PLM, but still lack a connected workflow for review, decisions and reusable design intelligence.