AI incident response automation
When an incident hits, RampBrain’s agent runs your runbook — triage, coordinate, open the issue, alert the channel — proposing each step from your documented process and waiting for a human’s go-ahead before anything changes.
The problem
On-call shouldn’t mean reconstructing the runbook from memory at 2am. The steps live across a wiki page, a pinned Slack message, and whoever wrote the service — so response is slow, inconsistent, and walks out the door when someone leaves.
How RampBrain handles it: RampBrain compiles your incident runbook into a grounded skill an AI agent executes. It proposes the next action from documented rules only, escalates the moment it hits a gap instead of guessing, and never runs a production-mutating step without human approval.
How RampBrain automates incident response
Connect your runbooks
Point it at your wiki, repo, Slack, Jira or Linear. RampBrain ingests how your team actually responds — including the tribal parts.
Compile a grounded incident skill
It turns the runbook into an executable skill, every step cited to the document it came from.
The agent proposes the next action
On an incident it suggests the next step — page the owner, gather context, open the issue, alert the channel — from documented rules only.
A human approves
Safe coordination the agent can run (open a Linear/GitHub issue, post to Slack) executes on approval; production-mutating steps stay a cited human checklist.
The runbook self-updates
After resolution, the postmortem is captured back as a sourced doc and the skill recompiles in place — the next on-call inherits it.
Why it's safe to let an agent run it
Grounded, never guessed
Every step is traced to a real source in your knowledge. No source means it's flagged as a gap and escalated — the agent never invents a rule.
A human is always in the loop
Nothing money-moving or production-changing runs without one-click sign-off. The agent proposes; a person decides.
It gets sharper over time
Every resolved case is captured as a sourced doc and the skill recompiles in place, so the decision stays consistent and current.
Frequently asked questions
Does the agent make changes to production?
No. The agent runs only safe coordination — opening an issue, posting to Slack, paging an owner. Anything that mutates production stays a cited checklist a human runs after approval.
How is this different from PagerDuty or an alerting tool?
Alerting tells you something broke. RampBrain runs the response: it reads your runbook, proposes the next step from documented rules, and coordinates it under a human gate.
What if our runbook doesn’t cover the situation?
It escalates instead of guessing. A gap in your documented process becomes an explicit escalation to a human, never a hallucinated fix.
What can it connect to?
GitHub, Slack, Jira, Confluence, Notion and Linear — plus documents and short interviews to capture the tribal knowledge that isn’t written down.
More things RampBrain can run
See it run your next incident.
It’s live and free — connect a runbook, compile the skill, and watch the agent propose its first step. You approve.
Start free →