Customer Support Channel and Ticketing System with Slack and Linear
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 12 nodes and runs on a schedule (every minute). Along the way it connects Slack, OpenAI Chat Model and Linear.
How it runs
Trigger: On a schedule (every minute).
- Slack: search
- Get Values (Edit Fields (Set)): sets or maps fields
- Merge: merges the data from its input branches
- Get Existing Issues (Linear): get many
- Create New Ticket? (If): checks a condition and branches into true / false
- Collect Descriptions (Aggregate): combines items into one
- Generate Ticket Using ChatGPT (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Get Hashes Only (Edit Fields (Set)): sets 1 field: hashes
- Create Ticket (Linear): uses Linear
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (10)
- Slack
n8n-nodes-base.slack - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - Linear
n8n-nodes-base.linear - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Merge
n8n-nodes-base.merge - Aggregate
n8n-nodes-base.aggregate
From the author
This n8n workflow demonstrates how to create a really simple yet effective customer support channel and pipeline by combining Slack, Linear and AI tools. Built on n8n's ability to integrate anything, this workflow is intended for small support teams who want…