From alert to answered in one place.
When AI breaks, the first thirty minutes disappear into "what’s affected, since when, and what changed?" Incident Center answers all three at open: incidents are created automatically with the failing traces attached, correlated changes flagged, and business impact quantified — so responders start at step four.
The problems that pile up quietly.
Incident response starts with a scramble to reconstruct context that should already exist.
The change that caused the incident is discovered hours in — usually by accident.
Postmortems are thin because the timeline was never captured while it happened.
What changes for your team.
Context-complete at open
Every auto-opened incident includes the failing workflow, example traces, the suspected triggering change, and affected customers — the war-room prep is already done.
Cause candidates, ranked
Deploys, prompt edits, and config changes near the failure onset are automatically surfaced and ranked by correlation — the "what changed?" question answers itself.
Postmortems that write themselves
The full timeline — detection, actions, resolution — is recorded as it happens and exports straight into your postmortem template.
Live in minutes, not sprints.
Detect and open
Failure spikes, health transitions, and predictive alerts open incidents automatically with severity based on business impact.
Assemble context
Traces, recent changes, dependency status, and affected entities are attached within seconds of open.
Resolve and learn
Actions are logged to the timeline; on resolution, the incident becomes a searchable record that feeds the audit and score.
See it on your own AI stack.
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