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Preserving Manufacturing Expertise in an AI Era
Details
Manufacturers are facing a silent crisis: decades of institutional knowledge are walking out the door as experienced engineers retire, turnover rises, and supplier ecosystems shift. At the same time, teams are drowning in unstructured files — drawings, quotes, QC reports, and tribal process notes — making it harder than ever to reuse past work, avoid repeat mistakes, and train new talent.
AI has the power to reverse this trend — not by replacing experts, but by capturing, structuring, and amplifying their knowledge across engineering, procurement, and operations.
Join CADDi’s VP of Partnerships Patrick Harrigan and CADDi’s VP of Engineering Chris Cope for a deep-dive discussion on:
You Will Learn
- Why knowledge attrition is the #1 hidden cost in manufacturing transformation
- How AI is being applied today to digitize, structure, and unlock legacy engineering + supplier data
- Real examples of teams using AI to speed RFQs, avoid repeat quality issues, and ramp new engineers faster
- Frameworks for evaluating AI tools that support — not disrupt — your workforce
- A practical roadmap to start preserving expertise before it's gone
This session is designed for forward-thinking manufacturing leaders who want to future-proof their organizations and empower their teams — not replace them. Watch this webinar today!
Speakers
