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Auto-ticket maker: Convert Slack conversations into structured project tickets

VarritechVarritech
700 views
2/3/2026
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Workflow: Auto-Ticket Maker

⚡ About the Creators

This workflow was created by Varritech Technologies, an innovative agency that leverages AI to engineer, design, and deliver software development projects 500% faster than traditional agencies. Based in New York City, we specialize in custom software development, web applications, and digital transformation solutions. If you need assistance implementing this workflow or have questions about content management solutions, please reach out to our team.

🏗️ Architecture Overview

This workflow transforms your Slack conversations into complete project tickets, effectively replacing the need for a dedicated PM for task creation:

Slack Webhook → Captures team conversation Code Transformation → Parses Slack message structure AI PM Agent → Analyzes requirements and creates complete tickets Memory Buffer → Maintains conversation context Slack Output → Returns formatted tickets to your channel

Say goodbye to endless PM meetings just to create tickets! Simply describe what you need in Slack, and our AI PM handles the rest, breaking down complex projects into structured epics and tasks with all the necessary details.

📦 Node-by-Node Breakdown

flowchart LR A[Webhook: Slack Trigger] --> B[Code: Parse Message] B --> C[AI PM Agent] C --> D[Slack: Post Tickets] E[Memory Buffer] --> C F[OpenAI Model] --> C

Webhook: Slack Trigger

Type: HTTP Webhook (POST /slack-ticket-maker) Purpose: Captures messages from your designated Slack channel.

Code Transformation

Function: Parses complex Slack payload structure Extracts: User ID, channel, message text, timestamp, thread information

AI PM Agent

Inputs: Parsed Slack message Process:

  • Evaluates project complexity
  • Requests project name if needed
  • Asks clarifying questions (up to 2 rounds)
  • Breaks down into epics and tasks
  • Formats with comprehensive structure

Ticket Structure:

  • Title
  • Description
  • Objectives/Goals
  • Definition of Done
  • Requirements/Acceptance Criteria
  • Implementation Details
  • Risks & Challenges
  • Testing & Validation
  • Timeline & Milestones
  • Related Notes & References
  • Open Questions

Memory Buffer

Type: Window Buffer Memory Purpose: Maintains context across conversation

Slack Output

Posts fully-formatted tickets back to your channel Uses markdown for clean, structured presentation

🔍 Design Rationale & Best Practices

Replace Your PM's Ticket Creation Time Let your PM focus on strategy while AI handles the documentation. Cut ticket creation time by 90%.

Standardized Quality Every ticket follows best practices with consistent structure, detail level, and formatting.

No Training Required Describe your needs conversationally - the AI adapts to your communication style.

Seamless Integration Works within your existing Slack workflow - no new tools to learn.

n8n Slack Conversation to Structured Project Ticket

This n8n workflow automates the process of converting unstructured Slack conversations into structured project tickets using AI. It listens for specific webhook triggers, processes the conversation text with an AI agent, and then posts the summarized and structured information back to Slack.

What it does

  1. Listens for a Webhook: The workflow is triggered by an incoming webhook. This webhook is expected to contain a Slack conversation or message data.
  2. Processes with AI Agent: The received data is passed to an AI Agent (powered by OpenAI Chat Model and a Simple Memory) which is configured to understand and structure the conversation.
  3. Transforms Data with Code: A Code node likely further processes or formats the output from the AI Agent into a desired structure for a project ticket.
  4. Posts to Slack: The final, structured project ticket information is then posted back to a specified Slack channel.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to host this workflow.
  • Slack Account: A Slack workspace to send and receive messages.
  • OpenAI API Key: An OpenAI API key is required for the "OpenAI Chat Model" node to function.
  • Langchain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed on your n8n instance, as it's used for the AI Agent, OpenAI Chat Model, and Simple Memory nodes.

Setup/Usage

  1. Import the Workflow:
    • Download the workflow JSON.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the workflow JSON or upload the file.
  2. Configure Credentials:
    • Slack: Configure your Slack credential for the "Slack" node. This will allow n8n to post messages to your Slack workspace.
    • OpenAI: Configure your OpenAI credential for the "OpenAI Chat Model" node. You will need to provide your OpenAI API Key.
  3. Configure Webhook:
    • The "Webhook" node will generate a unique URL when the workflow is activated. Copy this URL.
    • You will need to configure your external system (e.g., a Slack integration, another n8n workflow, or a custom application) to send data to this webhook URL when a relevant Slack conversation occurs. The payload sent to this webhook should contain the conversation text that needs to be processed.
  4. Configure AI Agent:
    • Review the "AI Agent" node's configuration. You might want to adjust its prompt or tools based on the specific type of project tickets you want to generate.
    • The "Simple Memory" node stores conversational context, which is useful for multi-turn interactions or if the AI needs to recall previous parts of the conversation.
  5. Configure Code Node:
    • Inspect the "Code" node. It likely contains JavaScript logic to transform the AI agent's output into the final project ticket format. Adjust this code if your desired ticket structure is different.
  6. Configure Slack Output:
    • In the final "Slack" node, specify the Slack channel where the structured project tickets should be posted.
  7. Activate the Workflow: Once all configurations are complete, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.

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