Evidence-backed AI and quality systems

What did the tests find before the system could pass?

Explore real documented failure cases from a fictional pharmaceutical inventory system qualification. Each case connects a user requirement to an observed problem and corrected behavior.

Scope boundary: interactive reconstruction of a mock Python/SQLite validation exercise, not an operational GxP system. The final GitHub Actions qualification was automated, not an independent third-party approval.
35 / 35Requirements traced
18 / 18Frozen OQ cases passed
20 / 20Adversarial checks passed
12Deviations logged and resolved

Follow the failure, not the green checkmark

Select a deviation to inspect what changed. Results refer to the documented candidate, not tests executed inside this browser.

Why this control matters

Observed defect

Corrected behavior

Source: SampleTrack Lite Validation Summary Report (STL-VSR-001), final candidate c3463a18, automated qualification OQ-CI-36947930824. The 35/35 requirement disposition is bounded to the synthetic exercise.