AI Agent: Smart Slack to Linear Ticket Automation
Integrates with:
Overview
Unlock Automated Support Ticketing with this AI Agent
This AI Agent transforms your Slack support channel into an automated ticketing powerhouse. It monitors for messages (e.g., those marked with a 🎫 emoji), intelligently processes them using OpenAI, and creates well-structured tickets directly in Linear. Say goodbye to manual ticket creation and hello to streamlined support operations.
AI Agent Abilities
- Intelligent Message Processing: Uses OpenAI (specifically a Chat Model like GPT) to understand user messages from Slack.
- Ticket Content Generation: Automatically crafts descriptive titles, concise summaries, and actionable debugging/resolution ideas for each ticket based on customizable prompts.
- Priority Assessment: Analyzes message tone and context to assign an appropriate priority level (low, medium, high, urgent).
- Duplicate Prevention: Checks existing Linear tickets based on message permalinks to avoid creating redundant entries for the same issue.
Key Features & Benefits
- Scheduled Slack Monitoring: Regularly scans your designated Slack channel for new support requests.
- Seamless Linear Integration: Directly creates and populates tickets in your Linear workspace, assigning them to the correct team.
- Structured AI Output: Leverages Langchain's Structured Output Parser to ensure consistent and usable ticket information (title, summary, ideas, priority).
- Customizable: Adapt the Slack query, AI prompts, Linear team settings, and scheduling to fit your exact needs.
- Increased Efficiency: Frees up your team from manual ticket entry, allowing them to focus on resolving issues.
- Improved Response Times: Ensures support requests are captured and actioned promptly by converting them into trackable tickets.
Use Cases
- Automate converting customer support queries from Slack (e.g., messages with a specific emoji like 🎫 in #support) into detailed Linear tickets, ensuring B2C e-commerce companies never miss a customer issue and can track resolutions efficiently.
- For B2B SaaS, streamline internal issue reporting (bugs, feature requests) from team Slack channels directly into the development backlog in Linear, with AI providing initial summaries and priority suggestions.
- Enable marketing teams to capture product feedback or user-generated content ideas shared in community Slack channels, automatically creating tasks in Linear for review and action.
- Reduce the manual workload for helpdesk staff by automatically triaging Slack messages and creating pre-filled tickets, improving overall support throughput for any business.
Prerequisites
- An n8n instance (Cloud or self-hosted).
- OpenAI API Key with access to a suitable chat model (e.g., gpt-3.5-turbo, gpt-4).
- Slack API credentials and the name/ID of the channel to monitor (e.g., #n8n-tickets from the template).
- Linear API credentials and the Team ID where tickets will be created.
Setup Instructions
- Download the n8n workflow JSON file.
- Import the workflow into your n8n instance.
- Configure the 'Schedule Trigger' node to set how often the workflow checks Slack (default is every minute).
- In the 'Slack' node, update the
Query
parameter to specify your target channel and any filtering conditions (e.g.,in:#your-support-channel has::ticket:
). Ensure your Slack credentials are correctly configured for this node. - In the 'OpenAI Chat Model' node (this node provides the LLM to the 'Generate Ticket Using ChatGPT' node), enter your OpenAI API Key.
- Review the prompt in the 'Generate Ticket Using ChatGPT' node. You can customize how the AI generates titles, summaries, ideas, and priorities. The 'Structured Output Parser' node defines the expected JSON output structure from the AI.
- In the 'Get Existing Issues' Linear node, configure your Linear API credentials.
- In the 'Create Ticket' Linear node, configure your Linear API credentials and set the
Team ID
for ticket creation. You may also want to adjustState ID
andPriority ID
mappings (found under 'Additional Fields') to match your Linear project's configuration. The template includes an example for priority mapping:{{ { 'urgent': 1, 'high': 2, 'medium': 3, 'low': 4 }[$json.output.priority.toLowerCase()] ?? 0 }}
. - Activate the workflow.
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