Alert fatigue is the silent killer of production operations. When on-call engineers receive hundreds of alerts per shift, they inevitably start ignoring them. The result: critical incidents get buried in noise, and mean time to detection (MTTD) suffers.
Our AI for Production Ops solution attacks this problem at its root. Instead of adding another layer of alert filtering, we deploy agentic AI that actively investigates every alert. Each investigation pulls logs, metrics, traces, recent changes, and runbook knowledge to surface the likely root cause.
The investigation report is delivered directly in Slack, formatted for quick human review. The on-call engineer doesn't need to context-switch between ten different tools — the agent has already done that work and synthesized the findings.
Integration with existing observability tools is seamless. Our agents work with Datadog, PagerDuty, Grafana, New Relic, and most major platforms out of the box. There's no need to replace your existing stack — we enhance it.
Early results from production deployments show 60% reduction in MTTR and significant improvement in engineer satisfaction. Teams report spending less time on repetitive investigation and more time on meaningful engineering work.