

AI Future of FMEA
Jul 18, 2025
00:00
AI Future of FMEA
Abstract
Carl and Fred discuss the use of AI with FMEA, what works and what does not work.
Key Points
Join Carl and Fred as they discuss the broad subject of FMEA and AI. We look at early lessons learned, discuss opportunities, and focus on the most important concerns.
Topics include:
- How FMEA can interact with Model-Based Engineering?
- FMEA pre-population, which fields can be pre-populated and which should not?
- What is role of human team in FMEA?
- What are primary ways to reduce FMEA in-meeting time?
- How do team-based FMEAs, done very well, compare to AI automated FMEAs?
- How can AI augment well-done FMEAs?
- What specific support can AI provide to FMEA?
- AI can review past problems and provide excellent input to new FMEAs
- Look for areas of concern by proper FMEA team
- One concern about pre-population: people don’t see what isn’t there
- Consider AI bot as FMEA team member, with specifically defined role
- AI cannot replace human creativity and ingenuity
- Part of the value of FMEA is the deep discussion between subject matter experts
- AI will not solve potential blind spots
- AI can help with augmentation for FMEA, but not taking over the FMEA process.
Show Notes
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