Grok Bot spots incidents and clears the backlog.

What happened?

A support queue can tell you something is broken before your monitoring does. Several customers report the same problem, and the first useful signal is sitting in their messages.

In an October 20 post, the team behind Grok Bot explains how it uses two bots to handle that situation. This is our recap of their account, not an independent test.

IncidentWatch looks for the warning signs. Every five minutes, it reviews the previous 15 minutes of support tickets for a spike around the same issue. If the pattern does not match a known incident, it alerts the on-call support engineer with a count and example tickets. A person decides whether there is an incident and works with engineering to investigate.

Once the incident is confirmed and posted to the public status page, the existing Support Bot checks the affected tickets and responds to matching customers. It can return with updates as the incident develops.

IncidentSweep handles the queue after the issue is resolved. An engineer tells it which tickets to consider, which to exclude, and exactly what message to send. It reviews the tickets individually and sets aside anything it cannot confidently connect to the incident.

A batch a person can actually review

Before sending, IncidentSweep presents the proposed ticket list and the exact reply. The engineer can spot-check the selection and make changes before approving it.

Then the bot sends the approved message in small batches and records each action. It does not add more tickets after approval. If something fails, it stops and reports the failure.

The team reports that, during an incident on September 18, IncidentSweep cleared 204 tickets in about 10 minutes, with a support engineer reviewing and approving the batch. That is one reported internal example, not a guaranteed processing rate.

Why this is interesting

The useful part is not just writing a reply. It is finding the right customers, keeping uncertain cases out, and letting someone approve a defined set of actions before anything is sent.

A bulk macro is quick, but the selection still needs attention. Answering every ticket manually gives more control, but repeats the same work. This workflow combines individual ticket review with a batch a person can inspect.

It also gives the bots different jobs: watch for a pattern, communicate about a confirmed incident, and clear the remaining backlog. The engineer still owns the incident decision and the final batch approval.

For teams considering support automation, that is a useful design to study. Start with a specific recurring job, make the review boundary clear, and keep an action log. These bots coordinate incident-related support; the post is not a demonstration that an agent independently fixes the underlying outage.