The Challenge

DevOps and platform teams accumulate runbooks, architecture docs, and postmortems — but during an incident, searching for the right page still costs precious minutes. Junior engineers ping seniors for tribal knowledge. New hires take months to become useful on-call. The knowledge exists; it's just not answerable under pressure.

An AI DevOps assistant turns that corpus into an operational co-pilot: "What does this alert mean?", "How do we roll back service X?", "Who owns this queue?" — answered with citations to your own docs, not generic internet advice.

Signs You Need This

  • On-call repeatedly asks the same questions in Slack
  • Runbooks exist but aren't used during incidents
  • Onboarding to on-call takes weeks of shadowing
  • Postmortems document lessons that never make it into daily practice
  • You want safer automation later — starting with assisted answers first

Our Approach

We ingest runbooks, wiki pages, Terraform/module READMEs, incident tickets, and approved chat exports into a secured RAG system. The assistant is tuned for ops language: service names, alert codes, environment labels. We deliberately separate "read-only guidance" from "write actions" — the first release answers and links; writeback automation (restarts, scaling) only lands after explicit approval and guardrails.

Integrations typically include Slack/Teams for chat, optional PagerDuty/Opsgenie context, and links into Grafana/CloudWatch dashboards referenced in runbooks. Every answer is logged for SRE review.

What We Deliver

  • Internal DevOps AI trained on your operational corpus
  • Cited runbook answers and escalation paths
  • Slack/Teams bot with environment-aware prompts
  • Optional alert enrichment (summarize + suggest next steps)
  • Access controls aligned to eng vs. contractor roles
  • Roadmap for safe tool-using agents (read metrics, open tickets) when you're ready

Timeline & What to Expect

Week 1 Corpus audit, top incident/alert themes, threat model, architecture
Week 2 Ingestion + prototype over core runbooks, evaluation questions from on-call
Week 3 Chat integration, access control, staging pilot with SRE leads
Week 4 Production rollout, feedback loop, documentation and handover

Frequently Asked Questions

Will it restart production for us?

Not in v1. We ship read-only guidance first. Actionable agents come later with explicit allowlists, approvals, and audit trails.

What if our runbooks are messy?

Common. We pilot on the top 10–20 incident paths, clean those docs as part of the engagement, then expand coverage.

Does this replace our observability stack?

No. It sits alongside it — helping engineers find the right dashboard, query, or runbook faster.

When This Is the Right Fit

Best for teams with existing runbooks and recurring operational questions. If you have no written ops knowledge yet, we start with a lightweight runbook sprint, then layer the assistant on top.