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Automated Incident Response

Cut MTTR from hours to minutes

Deploy AI agents that detect anomalies, page the right team, gather context, and run playbooks automatically.

The Problem

On-call engineers spend the first 20-40 minutes of every incident just gathering context: which service is down, what changed recently, what the error logs say, who owns this system. That is 20-40 minutes of pure delay before anyone starts fixing anything.

The Solution

AgentCloud incident response agents monitor your observability stack, detect anomalies, automatically pull relevant logs and metrics, cross-reference recent deployments, page the right on-call engineer with full context already assembled, and run first-response playbook steps while the human is still reading the alert.

Results

73% reduction in mean time to resolution
91% of P1 incidents have full context assembled before human acknowledgment
40% reduction in on-call burnout scores
Zero missed escalations in 18 months of production deployment

How It Works

1

Connect your observability stack

Native integrations with Datadog, PagerDuty, Sentry, CloudWatch, and Grafana. Setup in under an hour.

2

Define your playbooks

Map existing runbooks into the AgentCloud playbook builder. The agent follows them step-by-step during incidents.

3

Set escalation rules

Configure who gets paged for what severity, with what context, via which channel.

4

Deploy in shadow mode

Go live alongside humans first — the agent proves it would have taken the right actions before acting autonomously.

Ready to deploy?

See how AgentCloud handles automated incident response for your specific infrastructure.

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