AI Incident Responder for on-call teams

Engineers fix instead of route: it triages by severity, runs your runbooks, keeps stakeholders posted, and drafts the post-mortem.

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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.

Your AI incident responder — the tireless first-line on-call

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:

Alert ingestion — webhook-compatible with every major monitoring tool.
Severity-based routing — P1 pages on-call; P3 emails the team; noise silently dropped.
Runbook execution — HTTP calls, status checks, diagnostic dumps — run and attached to the incident.
Stakeholder updates — automatic status posts at set intervals during active incidents.
Post-mortem draft — timeline, root cause, remediation logged and drafted for you to edit.

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.

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Frequently asked questions

What monitoring tools does it integrate with?

Any tool with webhook outputs — Datadog, Sentry, PagerDuty, Grafana, Uptime Robot, custom monitors. Point the webhook at your agent and define the payload schema once.

Can it page SMS / Slack?

Slack and email are native; SMS via Twilio integration (HTTP request tool); voice call paging via PagerDuty webhook.

How does it run runbooks?

Runbooks are natural-language instructions plus HTTP request steps (`curl the health endpoint`, `check this Grafana query`). Your agent executes and attaches results to the incident record.

Will it make changes in production?

Only if you explicitly configure a runbook step to call a production endpoint. By default, it’s read-only diagnostic + paging.

What about post-mortems?

Every incident logs a timeline; your agent drafts a post-mortem with root-cause analysis and remediation suggestions for you to finalize.

Can it replace PagerDuty?

For small teams, yes. For enterprise with complex escalation policies, better as a layer that adds intelligence on top of PagerDuty’s routing.