Serv doesn't just coordinate. It reads your stack, identifies the cause, and takes action the moment you ask.
A webhook fires from your monitoring tool. Serv receives the payload, parses the severity and affected service, and declares an incident automatically.
A dedicated channel is created in Mattermost or Slack. The right responders are invited based on service ownership and severity. On-call is paged.
Responders join the channel and start triaging. Serv is already there, sitting idle, ready to be asked.
Someone asks Serv. It reads GitHub, Sentry, and your feature flag provider in parallel, correlates the deploy timeline against the error spike, and posts the full context: which deploy, which files, how many errors, which flag changed.
Serv proposes the fix. You confirm. Flag reverted, revert PR opened, status page updated. The time between "what happened?" and "someone is fixing it" collapses.
Errors drop. Serv marks the incident resolved. The full timeline is preserved and the postmortem is drafted from everything that happened in the channel.
When you ask, Serv queries your connected tools in parallel and synthesizes the results into a single answer.
GitHub
Sentry
LaunchDarkly / GrowthBook
PagerDuty / Opsgenie
Not suggestions. Not links. Actual actions, executed from inside the incident channel.
SERV
AI-powered incident response designed for teams that need to move from signal to action fast.