One tab. Right team. Right time.
Auto-triage, alert correlation, SLA breach prediction.
Draft copy — replace before launch
The body of this persona page is illustrative placeholder content. Every [PLACEHOLDER] token and every specific number (minutes, hours, percentages, dollar amounts) must be confirmed with the client or generalized before this page is public. Source file: src/data/personas.ts → personas[].draftBody.
When Causum is in the loop for noc work.
Alerts routed by signal type
Auto-classified by capability ownership, not on-call schedule. The first page goes to the right team.
SLA breach early warning
Predictive signal arrives [PLACEHOLDER ~15 minutes] before breach so the team gets ahead of it.
Correlation that holds up
Related alerts cluster into a single incident automatically; duplicates suppressed; the storyline is one timeline, not 40.
Before and after.
[PLACEHOLDER scenarios — illustrative only. Client to confirm.]
[PLACEHOLDER] Alert fires. Look up the service. Check the runbook. Page the wrong team (runbook is stale). Re-page the right team. Apologize. Repeat ~6 times an hour.
[PLACEHOLDER] Alert fires. Causum classifies the signal, looks up the capability owner, routes the page. Triage panel shows the related alerts already clustered. You spot-check, you don't dispatch.
What we'll measure together.
Targets are commitments we hit, or the engagement does not advance. Baselines are measured against your environment before Phase 1 begins.
| Metric | Before | Pilot target |
|---|---|---|
| Mis-routed alerts | [PLACEHOLDER ~15%] | [PLACEHOLDER < 2%] |
| SLA breach early warnings | 0 / month | every breach |
| Duplicate alerts per incident | [PLACEHOLDER ~12] | 1 |
NOC pilot success: Fewer mis-routed alerts, earlier SLA breach signals.
Measured against your pre-engagement baseline. We'll capture the baseline together in the free fit assessment that precedes Phase 1.
Same loop. Different first win.
Whichever seat — start with a pilot.
Free, one-week fit assessment. No commitment. Output is a written go/no-go recommendation.