Incident Timeline Agent Playbook for Engineering Teams
Turn logs, chat exports, and deploy events into a structured incident timeline with an AI agent run.
Audience: Engineering leaders and SRE teams who need fast incident reconstruction.
The problem
Incident context lives across logs, Slack, deploys, and dashboards. A raw LLM summary is not enough for postmortems.
Implementation path
Attach event exports as inputs, normalize timestamps, produce a timeline artifact, and return open questions separately from confirmed facts.
Tradeoffs and failure modes
The agent can accelerate synthesis, but the result should distinguish facts from hypotheses.
Timeline format
timestamp | source | event | confidence | evidence
2026-05-27T14:03Z | deploy | backend image changed | high | deploy-log.txt:88
Run this on Argo