Webhooks in, on-call paged out. Your agent triages by severity, runs your diagnostic runbooks, keeps stakeholders informed, and files the post-mortem draft — so your engineers spend their time fixing, not routing.
Most incidents waste the first 10 minutes on routing. Alert fires, on-call checks if it matters, pages the right engineer, updates stakeholders, pulls the right runbook, kicks off diagnostics. Ten minutes that happen exactly the same way every time, on every incident. Fasrad’s AI incident responder automates those ten minutes.
Webhooks from Datadog, Sentry, PagerDuty, Grafana, custom monitors hit your agent. It classifies severity using rules you configure, pages the right on-call via Slack/SMS/email, runs the associated runbook (`kubectl get pods`, check deploy log, ping health endpoint), and posts a status update to your incident channel — all before a human has opened their laptop.
Strongest benefits:
Your agent has memory of every past incident — which alerts fired together before, which remediations worked, which on-call responded fastest. Over months it becomes the institutional incident memory your team never had time to build.
Different from our admin-agent (recurring tasks) and compliance-monitor (policy drift). The incident responder is alert-driven automation — runs when things break, quiet when they don’t.