Solutions / AI operations and 24/7 on-call
AI agents investigate alerts in seconds and propose a fix. Our on-call engineers review it, approve and act, at any hour. Nothing changes in production without a person saying yes.
For: Teams without round-the-clock coverage, or drowning in alerts.
Engineers on call every hour of every day, with a clear incident process from the first alert to the post-mortem.
When an alert fires, an agent reads metrics, logs and cluster state and writes a diagnosis before the engineer opens the laptop.
Your documentation, post-mortems and runbooks become something on-call can ask in plain language.
AI proposes, a person approves. Every suggestion and every action is recorded.
An example of how AI triage and our on-call engineers work together. The agent does the digging. A person makes the call.
Talk about on-callError rate on checkout crosses the SLO. PagerDuty pages the on-call engineer and, at the same moment, starts the AI agent.
It reads metrics, logs and cluster events with read-only access and finds the pods restarting out of memory after the last release.
The diagnosis and a pull request raising the memory limit are attached to the incident, with the evidence behind them.
Our on-call engineer reviews the evidence, approves the change and watches it roll out.
Errors back to normal. The timeline, the decision and the follow-ups go into the post-mortem you read in the morning.
Companies leaving the data center, switching providers or running on more than one cloud.
→Product teams outgrowing a handful of services and a single ops person.
→Teams that still fear Friday deploys or depend on one person to release.
→B2B SaaS, marketplaces and digital products with paying customers.
→Fintech, health and SaaS companies selling to enterprise customers.