The Problem
Support inboxes mix password resets, billing questions, feature ideas and serious bugs. Someone has to read every message to decide what is urgent, so urgent problems wait behind routine ones and upset customers are spotted too late.
What You'll Get
- Every new ticket labelled by topic, urgency and the customer's mood.
- A suggested reply for routine questions, waiting for an agent to approve.
- Bugs sent to your engineering tracker and upset customers flagged to your team lead in Slack.
How It Works
- A new ticket reaches the workflow from your help desk.
- AI reads it and labels the topic, urgency and mood.
- The workflow routes it: a draft reply, an engineering ticket or a Slack alert.
What You Need
- A help desk that can send new tickets to a web address, such as Zendesk, Help Scout, Intercom or Freshdesk
- An OpenAI account
- A Linear workspace for engineering tickets
- A Slack workspace for alerts
- An n8n account to run the workflow
- About half a day, plus time to combine the building blocks
Unlock the full step-by-step guide
Enter your email to see the setup steps and the copy-paste prompt. Your workflow file downloads straight away.
- Step-by-step setup
- Copy-paste prompt
- Workflow file to import
Workflow files used in this guide
Track Sentiment on Active Support Issues
Analyze the mood of comments on active Linear issues, track changes in Airtable and alert Slack when an issue turns negative.
Starts on: Airtable change, Schedule
Classify New Linear Bugs and Route to the Right Team
Read new bug tickets in Linear, let OpenAI choose the responsible team from your descriptions and move the ticket to that team.
Starts on: Linear issue event
Resolve Long-Running Jira Support Issues with AI
Review unresolved Jira issues on a schedule, classify their state with AI, and remind, close or try to answer them from your knowledge base.
Starts on: Schedule
