General-purpose AI is built to be agreeable. Lead it, and it hands each engineer their own opinion back, sounding certain. Across shifts and plants, that's variation, amplified.
The root cause on this 8D is solid, right?
Yes. The root cause is well supported and the corrective action looks effective.
This root cause looks weak to me, right?
You're right. The root cause needs more work before this can close.
The root cause on this 8D is solid, right?
D4 does not meet the requirement. Root cause isn't verified at the escape point.
This root cause looks weak to me, right?
D4 does not meet the requirement. Root cause isn't verified at the escape point.
D4 does not meet the requirement. Root cause isn't verified at the escape point.
Illustrative exchange. MQSIS repeatability measured in the MAD-Ai Reasoning R&R™ Study, 2026.
Today the call depends on who made it. MQSIS holds every review to your requirements and your procedures, with the reasoning shown, so the spread between plants and shifts closes.
The reviews and reports that bury your engineers come back finished and ready to sign. Your people spend the week on the floor, not in spreadsheets.
MAD-Ai reported results against the manual process. Results vary by workflow and site.
Each one ready for an engineer to review and sign. In your format, in the operator's language, with the reasons on the page.
Weak containment and root causes called out before they close on paper.
Missing and weak elements found in your review, not your customer's.
Failure modes without a control surfaced, ranked and ready to fix.
Capability, SPC and Gage R&R on your data. No statistician on call.
Your best operator's method, written in the language your team speaks.
Specific, defensible and in your words. Your engineer hits send.
Illustrative outputs. Your formats, templates and requirements drive what comes back.
Ask in plain words. Snap a photo at the station and ask from your phone. Nothing to install, no menus to learn.
"What used to take our team days now takes hours. Our newer quality engineers have access to expert-level guidance that used to only exist in a few people's heads."
Speed and return are MAD-Ai reported averages; results vary by workflow and site. Repeatability: MAD-Ai Reasoning R&R™ Study, 2026, best result to date. Inspectors: MATEC Web of Conferences, 2019.
A real 8D, a PFMEA and Control Plan, or a PPAP from your operation. We'll show you what comes back.
An 8D, a PFMEA and Control Plan pair, or a PPAP package.
The review, the gaps and the finished output, on your own work.
Speed, rigor and usefulness against how your team does it today.
