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Machines on-call for humans
Machines on-call for humans
Your on-call engineers start every shift with answers, not alerts
Autonomously investigates alerts and builds initial findings before the on-call engineer is paged
Agents on every on-call rotation — triaging and investigating alerts in real time.
Correlates signals across your observability stack, assesses severity, and identifies blast radius with evidence
The metrics provider API had a transient outage affecting 27 orgs' alert scrapes in orders-prod-cluster. The error spike was brief and self-resolved; the alert fired late because of stale evaluation. No action required — this is provider-side.
Silences noise, executes GitHub Actions, and routes to the right team. Engineers approve or let agents handle known patterns autonomously
This will create a silence in your monitoring platform immediately.
The following actions will be performed:
Findings, priority lists, and actions surface in Slack, MS Teams, CLI, Resolve AI, or your own agent
Missing schema migrations on orders-db causing transaction rollbacks. Rollback ratio crossed 2% threshold at 08:19Z.
orders-db migrationshighcheckout-v2 revert PRlowRemoving the toil of investigations, war rooms, and on-call.
“Resolve AI allowed us to move from hours to minutes for investigations in many incidents. We pull fewer engineers into war rooms, on-call is materially better, and that translates directly to advertiser trust and revenue protection for a billion-dollar ads business.”
“Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 72% faster than our teams, all while integrating cleanly into our existing stack.”
“Resolve AI has changed how our teams work through production incidents. What used to take hours of manual investigation and coordination across teams now gets resolved in a fraction of the time. Our engineers aren't only faster, they're focused on the work that actually drives impact.”
“We’ve seen the value of AI in development, and now we’re applying that same approach to production. We started by partnering with Resolve AI for alert triage, incident investigation, and root cause analysis. We’ve seen positive signs of improvement in mean time to resolve for our critical incidents, and the North Star is self-healing systems.”
“What excites me most about Resolve AI's background agents is that I’m no longer starting from zero. The alerts are already investigated. The deployment summaries are already written. The findings are verified and the next steps are waiting for me. A lot of the operational work I used to handle manually is now happening continuously in the background with my oversight. I’m still making the important calls, but I can operate at a scale that just wasn’t possible before.”
“Resolve AI feels like a teammate who’s already done half the work. It tells me immediately if something’s critical or can wait, saving countless hours and frustration.”
“Resolve AI helps my team navigate incidents by correlating signals across logs, metrics, traces, and code automatically. Instead of switching between multiple platforms hunting for clues, we get immediate context. At our deployment velocity, that speed makes all the difference.”
“Incident response at our scale isn't about collecting more signals. It's about understanding why something is failing, quickly enough to limit customer impact.”
Every alert investigated automatically, 24/7.
Agents take action directly, including silencing and GitHub Actions.
Agents watch rollouts and investigate before alerts fire.
Triage quality improves with agent teams and engineer corrections.
Resolve integrates with PagerDuty and other alerting tools. When an alert fires, Resolve picks it up automatically and begins investigating.
No. Resolve joins your rotation. Engineers stay on the loop and make the final call on high-severity issues. Agents handle the investigation so engineers start with context, not a blank screen.
Engineers review every finding. When they correct the agent's reasoning, those corrections become reusable knowledge. The system gets more accurate over time.
You define the boundary. Guardrails control what agents can do on their own versus what requires engineer approval. You set the rules.
Datadog, Grafana, Prometheus, OpenTelemetry-based systems, and more. Resolve understands each tool's query language and data model.
Alert correlation groups related alerts. Resolve investigates them. It tells you why they're happening, with evidence from across your stack.