If you’ve ever been responsible for data quality, you know that internal lab QC is where digestion issues, interference problems, calibration drift, and contamination quietly reveal themselves.

Comparing different assay methods is not an uncommon scenario in the industry, but it immediately raises a red flag: why is an assay method that doesn’t include gold so popular on gold projects and can assay results from fundamentally different digestion methods be directly compared for verification purposes?

It’s tempting to stop at the assay numbers and call it a success. But real understanding takes more than that. It’s about turning AI into a useful partner that answers a specific question.