Models, prompts, and data shift over time, reviews restart, teams lose a single baseline. Swept gives continuous evidence that quality holds up in the real world.
Production Oversight that Prevents Surprises
Sample the right traffic, lock a baseline, track deltas to catch drift fast, then route context-rich alerts to owners. Keep a complete audit trail, and stream or export events to Datadog, Splunk, Elastic, CSV, or JSON.
How Swept AI Supervision Works
Select Traffic To Sample And Set Baselines
Choose sampling rates by endpoint, role, and risk level. Lock a baseline from your last approved evaluation.
Detect Issues With Clear Thresholds
Automatic checks run on sliding windows. Acceptance gates catch drift, variance, and safety problems.
Alert The Right Owners
Send alerts to Slack or Teams, create tickets in Jira or ServiceNow, or page on-call via PagerDuty or Opsgenie.
Investigate And Fix
Replay examples, compare to baseline runs, test an updated prompt or model, and verify the improvement before rollout.
