In regulated industrial environments you rarely get approval for a full rollout without credible, evidence-based ROI. The most reliable path is a tightly scoped pilot in production, with a clear baseline, small set of financial levers, defined measurement window, and explicit linkage to program and capacity risks. Assumptions, data quality, and integration limits must be documented and traceable.

Typically, measurable ROI from AI-enhanced MES in aerospace is not immediate. Narrow use cases can show value in 6 to 12 months, while broader ROI often takes 12 to 24 months or longer. Results depend heavily on data quality, integration with existing MES/ERP/QMS/PLM systems, validation effort, operator adoption, and how much process discipline already exists.