Incident Response
The First 15 Minutes
Major incidents cost $300K to $1M+ per hour. But the real cost isn't the downtime. It's the 15 minutes your on-call engineer spends searching Slack for a thread that ends in 'nvm, figured it out,' reading a runbook last updated by someone who left, and escalating because the knowledge walked out the door. We build systems where that context is already there when they open their laptop.
3:47 AM
What happens next
ClearTrack is a Series C expense management company with about 95 engineers. Their transaction sync service pulls corporate card transactions from a banking partner API. A deploy goes out. Transactions stop flowing in. Here's what the next 15 minutes look like when AI agents are part of your incident response.
Alert fires.
Transaction sync error rate breached threshold. Transactions stopped flowing in. Two AI agents activate in parallel.
Incident opened.
SEV-3 ticket created. Slack channel #inc-txn-sync-0422 opened.
Impact: ~340 customers affected. No data loss. Upgraded to SEV-2.
Quick triage posted.
Sync success rate: 99.8% → 12%.
Recent deploy: v14.6.0 changed retry logic. All other services healthy.
Probable cause: v14.6.0 retry backoff change.
Root cause confirmed.
TimeoutError on /v2/transactions/list. Retry backoff changed from 2s to 5s in v14.6.0.
Past incident found: similar timeout config issue three months ago. Runbook pulled.
Recommended action.
Revert to v14.5.12. Retry backoff change is causing pagination timeouts on the banking API.
On-call arrives.
Opens the Slack channel. Impact, root cause, past incidents, and recommended action already there. No searching. No guessing.
Mitigation applied.
Reviews the triage. Confirms the rollback.
$ cleartrack-infra deploy-app 14.5.12 Deploying v14.5.12... done. Transaction sync service restarting... healthy.
Mitigation verified.
Sync success rate recovering. Incident marked mitigated. Backfill in progress.
Incident resolved.
Backfill complete. No data loss. Incident marked resolved.
Total time: 19 minutes. Human time: 10 minutes.
Post-Incident Review generated.
Drafted from the Slack thread. No 90-minute writing session.
Root cause: retry backoff change caused pagination timeouts
Impact: ~340 customers, no data loss
Detection gap: 4 min between deploy and alert
Team reviews Post-Incident Review.
Team reviews the AI-drafted Post-Incident Review. Discusses the detection gap. Confirms three repair items. Assigns owners and deadlines.
Repair items filed.
Add sync lag monitoring (P1, 3 days)
Update retry config runbook (P2, 1 week)
Add integration tests for retry config (P2, 1 week)
Incident closed.
Repairs filed and assigned. Incident closed. Learnings flow back into the runbook.
The Impact
Faster response, less stress, an intelligent system that learns
The timeline above is not hypothetical. This is what incident response looks like when AI agents handle triage, surface context from past incidents, and draft PIRs automatically. Here is what that means for your team.
Automated triage before the engineer arrives.
AI agents assess impact, search past incidents, and post probable cause to Slack. Your on-call engineer reads context instead of searching for it.
Post-Incident Reviews in 10 minutes, not 90.
Drafted from the incident thread. Completion rates go from ~30% to 70-90%. Action items tracked to completion, not buried in Confluence.
A closed loop that gets smarter.
Repairs update runbooks. Runbooks feed the agents. Every resolved incident makes the next one easier. Built on your existing tools. No new platforms.
Shorter outages protect revenue and your reputation.
Faster triage frees your senior engineers to ship product. Post-incident reviews that actually get done prevent repeat incidents. The cost savings are real, but the compounding effect on team capacity and customer trust is what changes the trajectory.
Get Started
Let's fix your first 15 minutes.
The teams that run this well stop losing hours to incidents that could have been triaged in minutes. On-call engineers sleep better. PIRs actually get written. Runbooks stay current. Let us understand your org and build the incident intelligence system that gets you there.