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AtlasRepo

Automation 13/30+: Put an AI agent inside Zendesk

Description and use

An AI agent in Zendesk drafts replies from the codebase, reducing repetitive support work and escalating bugs to GitHub.

Problem

Support teams repeatedly answer the same product question, but the definitive answer resides in a code repository that agents cannot access.

Outcome

The AI agent reduces repetitive answering, ensures consistent information, and surfaces bugs to engineering without sending automated responses to customers.

Workflow

  • A ticket arrives in Zendesk
  • AI agent reads ticket content and searches the codebase
  • AI drafts a reply and posts it as an internal note
  • Support agent reviews the draft, edits if necessary, and sends it to the customer
  • If the ticket is a bug, AI escalates it as a GitHub issue with relevant details

Evidence

Support answers the same product question forty times, and the real answer is in a repo they can't read.

Source

A ticket arrives → the AI reads it against your codebase and drafts a reply

Source

The draft lands as an internal note, so an agent reads it, edits it and sends it

Source

It's actually a bug, not a question → it's escalated as a GitHub issue with the detail engineers need

Source

It never replies to your customer. Nothing reaches the requester unless a human sends it.

Source

clone → ./setup.sh → pick Zendesk → answer a few questions

Source

  • Record date: 2026-11-03T16:14:00.966Z