Product

From alert to resolved,
step by step.

Serv doesn't just coordinate. It reads your stack, identifies the cause, and takes action the moment you ask.

The incident lifecycle

What happens in the first two minutes.

T+0:00

Alert received

A webhook fires from your monitoring tool. Serv receives the payload, parses the severity and affected service, and declares an incident automatically.

T+0:05

Channel opened

A dedicated channel is created in Mattermost or Slack. The right responders are invited based on service ownership and severity. On-call is paged.

T+0:30

Team joins

Responders join the channel and start triaging. Serv is already there, sitting idle, ready to be asked.

T+1:00

@serv, what happened?

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.

T+1:15

Action taken

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.

T+2:30

Incident closed

Errors drop. Serv marks the incident resolved. The full timeline is preserved and the postmortem is drafted from everything that happened in the channel.

Intelligence layer

What Serv reads when an incident fires.

When you ask, Serv queries your connected tools in parallel and synthesizes the results into a single answer.

GitHub

  • Last deploy: which files changed, who pushed, at what time
  • Recent commit history across the affected service
  • Clean rollback SHA to revert to if needed

Sentry

  • Error spike: count, rate, and when it started
  • p99 latency and user impact estimate
  • Full stack trace for the first occurrence

LaunchDarkly / GrowthBook

  • Which flags changed in the last 30 minutes
  • Current rollout percentages and targeting rules
  • Flag history correlated against the error timeline

PagerDuty / Opsgenie

  • Who is on-call right now for this service
  • Escalation policy for the affected team
  • Any open incidents that may be related
Action layer

What Serv can do when you ask.

Not suggestions. Not links. Actual actions, executed from inside the incident channel.

Revert a feature flag or a deploy, without leaving the channel
Open a hotfix PR or revert PR against the clean SHA
Page the right engineer via PagerDuty or Opsgenie
Update the status page with a draft based on the incident context
Silence an alert rule while a fix is in progress
Search the web for known issues, CVEs, or relevant StackOverflow answers
Draft the postmortem when the incident is resolved

SERV

Run your next incident from one place.

AI-powered incident response designed for teams that need to move from signal to action fast.