This n8n workflow automates the process of managing support tickets received via Gmail, enriching them with AI, and creating structured issues in Linear. Designed to streamline support workflows, it ensures timely and consistent ticket prioritization and categorization.

The workflow starts with a schedule trigger that initiates the process at regular intervals. It then fetches recent support emails from a specified Gmail inbox using the Gmail node. To prevent duplicate processing, a ‘Mark as Seen’ node filters out already processed emails.

Next, the email content is converted into markdown for easier parsing, and a detailed description is generated through multiple sticky notes summarizing the process in the workflow interface.

The core step involves sending the email content to an OpenAI GPT model, which acts as a triage assistant. This AI model classifies the email, assigns labels, determines priority, and rewrites the issue’s title and description, making it ready for issue tracking.

Finally, the processed support requests are automatically created as issues in Linear, including relevant details, labels, and priority settings. This automation allows support teams to efficiently handle incoming tickets, reduce manual effort, and maintain consistency.

This workflow is ideal for organizations aiming to enhance their support ticket management, quickly triage incoming support emails, and ensure critical issues are prioritized without delay.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, gmail, linear, markdown, removeDuplicates, scheduleTrigger, stickyNote