Investigate quality incidents with AI

Every alert can now launch an AI root-cause investigation on demand — testing hypotheses against production data and reporting what actually changed.

• Added a root-cause investigation to every alert, started with one click: it builds a live hypothesis tree scoped to the incident window, tests each lead against baseline data, and shows the supporting evidence as charts.
• Added a written conclusion that highlights the most likely cause(s), with recommended next steps split into immediate fixes and longer-term improvements grounded in the findings.
• Added drift attribution that pinpoints whether a measurement shifted in level, spread, or ranking, plus incident-vs-baseline checks for outcome shifts and retest churn.
• Added stop and re-run controls for investigations, with results visible to everyone in the organization.