Why PFMEA Review Is Ready for AI-Driven Execution
- Rick Heilshorn

- May 26
- 1 min read
The Problem
PFMEA reviews are critical—but often inconsistent and time-intensive:
Variability in identifying failure modes and risks
Inconsistent evaluation of severity, occurrence, and detection
Limited time for deep review across all process steps
Difficulty maintaining alignment across teams and sites
Before (Traditional State)
Manual review of large, complex documents
Inconsistent risk prioritization
Gaps in identifying improvement opportunities
Heavy reliance on experienced reviewers
After (With MAD-Ai)
Structured analysis of PFMEA content across all process steps
Identification of gaps and inconsistencies in risk evaluation
Recommendations for reducing RPN through targeted actions
Improved consistency across teams and locations
Key Shift
From manual, variable review processes → to structured, repeatable PFMEA analysis



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