Amafield helps frontline teams understand critical procedures, flag what is unclear or unrealistic, and gives QA leaders AI analytics to prevent deviations before they become scrap, incidents, complaints or audit findings.
Understanding by revision
Every procedure tied to its effective version
81%
Incoming inspection
Line A - 18 operators
Control plan update
Assembly - 11 operators
Non-conformity handling
Quality desk - 7 reviewers
Gauge calibration
Metrology - 5 technicians
Customer specification change
All production teams
Most teams can prove that operators received or signed a procedure. Fewer can prove that they understood it, can apply it in real situations, and still follow the right version weeks later.
Teams keep operating from memory unless the exact change is made visible, tested and tied to the new revision.
Reading and signing a document does not prove that operators can apply the procedure in real situations.
Operators may understand the official process and still take shortcuts when pressure, habits or local constraints make another way feel easier.
Amafield turns SOPs into mobile AI scenarios, captures structured frontline signals, and gives QA the analytics to act before deviations repeat.
Source documents
Changes detected
SOP-127 · Control Plan v3.2
2 critical changes detected
Start with critical procedures and expand from change readiness to deviation prevention.
Continuous
Loop
When a procedure changes, verify that impacted teams understand what changed and what to do differently.
Periodically test critical procedures to reveal misunderstood steps before they create non-conformities.
Use AI-clustered feedback to rewrite unclear steps, add examples, fix translations or adapt unrealistic workflows.
After a deviation or near-miss, run targeted checks and collect frontline context around the related SOP.
When a procedure changes, verify that impacted teams understand what changed and what to do differently.
Periodically test critical procedures to reveal misunderstood steps before they create non-conformities.
After a deviation or near-miss, run targeted checks and collect frontline context around the related SOP.
Use AI-clustered feedback to rewrite unclear steps, add examples, fix translations or adapt unrealistic workflows.
Then the loop continues...
Amafield helps QA teams identify misunderstood procedures, surface weak signals from the field, and act earlier on the risks that lead to deviations.
Universite de Namur independently benchmarked the underlying AI on answering questions from complex documents. That document understanding helps Amafield analyse procedures and highlight what changed from one revision to the next.
They trust Amaplex
