Built for on-call engineers and SREs who are tired of being the glue between five tools at 2am.
Serv joins every incident channel from the moment it opens and sits idle until asked. When you @mention it, it reads your connected tools, identifies the probable cause, proposes next steps, and executes actions when you confirm. It is not a chatbot. It is a co-responder that happens to know your stack.
When an incident is declared (via webhook or manually), Serv creates a dedicated channel and invites the right people based on the affected service and severity. No one has to decide who to ping. The right responders are already in the room.
Serv queries your paging tool (PagerDuty or Opsgenie) to find who is on-call for the affected service and fires the escalation automatically. This happens in the same flow as channel creation, with no separate step and no manual intervention.
Connect any monitoring tool to Serv via webhook. When an alert fires, Serv receives the payload, parses the severity and affected service, and declares an incident automatically. Alertmanager, Grafana, Datadog, UptimeKuma, and any tool that can send an HTTP request are supported.
Status pages, timelines, and postmortems without additional subscriptions or third-party tools.
Serv includes a status page for your services. No third-party subscription required. The AI drafts status updates based on the incident context and posts them when you confirm. Customers see a clear message without someone having to write it during the incident.
Every action, message, and decision in the incident channel is logged with timestamps. The timeline is permanent and does not disappear when the channel is archived. When the incident is over, the full story is there without anyone having to reconstruct it.
After the incident is resolved, Serv generates a postmortem draft from the timeline. It pulls the alert, the probable cause, the actions taken, the resolution, and the timeline of events into a structured document. Your team edits and publishes, instead of writing from scratch.
The AI can search the web as part of its investigation, looking up known issues with dependencies, relevant CVEs, and StackOverflow answers. If something broke because of an upstream library or a known infrastructure issue, Serv finds that context without you having to leave the channel.
The AI is only as useful as the context it has. These features give Serv a map of your team, your services, and your infrastructure.
Define named groups of engineers with auto-invite rules. When an incident is declared for a service, Serv automatically invites the owning group. Groups can be nested and can have escalation fallbacks when primary responders are unavailable.
Map your services to their owners, on-call teams, and integration endpoints. When the AI reads a GitHub deploy or a Sentry error, it uses the services directory to know whose code it is, who to page, and where the runbooks live.
Give the AI knowledge about your specific infrastructure. Document your deployment process, your flag naming conventions, your architecture decisions, and your known problem areas. The AI reads this during incidents and uses it to give more accurate analysis, not generic advice.
SERV
AI-powered incident response designed for teams that need to move from signal to action fast.