Why Document Translation Is 60x Faster and Root Cause Isn't
Every “AI is X times faster” claim hides an important question: faster at what, exactly? Not every quality workflow compresses the same way, and the gap tells you something real about where the work actually goes.
Where the Biggest Multiples Come From
Document translation runs about 60x faster in our data, and training plan development close to 90x — because most of the original time wasn't expertise, it was mechanical assembly: reformatting, restating, reorganizing something that already existed. RE-FMEA failure mode evaluation comes in around 32x, and supplier quality management around 29x — still large, because a meaningful share of that work is checking submitted information against a known structure rather than generating new judgment.
Where the Multiple Comes Down
Problem solving and root cause analysis lands closer to 15x. Not because the AI does less there — because more of that work is genuinely open-ended: interpreting ambiguous evidence, deciding what actually caused a failure. That's exactly the work we don't want to compress into “AI decided this.” The engineer's judgment is still the last step.
The Honest Version of the Pitch
100+ workflows across the Quality Suite, and the speed varies by exactly how much of each one is standardizable assembly versus genuine engineering judgment. That's not a caveat. It's the design.
Want to see how it holds up on your own documents? Book a demo: mad-ai.com/book-a-demo
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