First-line triage on every alert.
When an alert fires, the Alert Investigator reads system state, correlates with recent changes, ranks blast radius, surfaces the most-likely runbook, and suggests an escalation path. Purely read-only — it never modifies anything — so it's safe to roll out on day one, even in the most regulated environments.
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Lifecycle
Alert arrives from any webhook provider. Signature verified, fingerprint computed, fast-path dedup skips noisy repeats within a configurable correlation window.
Agent pulls recent logs, metric context, traces, dependency health, and recent changes. Only read-only tools allowed — kubectl get, git log, HTTP GETs, SQL EXPLAIN.
Structured output: severity classification, blast radius (services/users affected), most-likely cause, linked recent changes, the best-matching runbook from your knowledge base.
The finding is posted to Slack/Telegram/email with the full analysis, actionable buttons ("Escalate", "Ack", "Clone to remediator"). Humans walk into a hot alert with structured context, not a raw Prometheus URL.
Sample output
Veirox · Alert Investigator
#alerts · 3 s ago
checkout-api p99 latency > 2s for 4 min
Blast radius
2 downstream services · ~12K active users
Most likely cause
Deploy checkout-api@v2.3.1 38 min ago — changed retry logic
Suggested runbook
"High API latency" · view
Related
3 similar alerts in past 24h · 2 resolved by rollback
Typical outcomes
<5s
median time from alert arrival to Slack finding
40–60%
reduction in on-call investigation time per alert
0
destructive actions taken — it literally cannot
Getting started
After comfort: upgrade to Auto-Remediator for approval-gated execution.
Zero-risk — the agent can't change anything. Just better Slack context when things go wrong.