Quality that watches itself.
Rules, pattern detection, and flags — with evidence attached to every escalation.
Structural validation and rubric rules catch clear violations with explainable evidence attached.
A lightweight classifier scores risk on ambiguous cases and routes them to review. No guessing.
High-confidence flags produce queue-ready items with reason, evidence, and severity level.
Reviewer decisions feed back into the classifier. Retraining runs monthly when volume supports it.
Schema & type checks
Rule validation
Anomaly detection
Risk scoring
Queue & evidence
AuraQC components, APIs, and dashboard are implemented. Precision/recall targets and time savings require production validation.
Every flag includes a reason and evidence payload. Reviewers decide faster with context.
Structural, rubric, and pattern checks run before ML. Obvious issues resolve instantly.
High-confidence detections route to adjudication queues with severity, timestamps, and evidence.
The queue that never sleeps.
Illustrative values for UI demonstration. Production precision/recall requires validation on your data.