Every "AI is X times faster" claim hides a real question: faster at what? This post breaks down why document translation runs about 60x faster and training plan development close to 90x, mostly mechanical assembly work, while problem solving and root cause analysis lands closer to 15x, because that work is genuinely open-ended and the engineer's judgment stays the last step. Speed varies by how much of each task is standardizable assembly versus real judgment. That's by desig
Measured efficiency gains from MAD-Ai across four quality workflow categories: 15x faster root cause analysis, 32x faster risk analysis, 18x faster PPAP review, and 29x faster supplier quality management. These are results, not projections.