Block 1 - Inbound Trigger (Email/Form/Chat)
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
Short Description An AI powered customer support workflow that automatically triages, summarizes, classifies, and routes tickets to the right Slack and CRM queues. It sends personalized auto rep...
n8n-nodes-base.webhook, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.switch, n8n-nodes-base.slack, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by NodeAlchemy.
Original n8n.io source🧾 Short Description
An AI-powered customer support workflow that automatically triages, summarizes, classifies, and routes tickets to the right Slack and CRM queues. It sends personalized auto-replies, logs results to Google Sheets, and uses a DLQ for failed cases.
⚙️ How It Works
Trigger: Captures messages from email or form submissions.
AI Triage: Summarizes and classifies issues, scores urgency, and suggests next steps.
Routing: Directs to Slack or CRM queue based on type and priority.
Logging: Records summaries, urgency, and responses in Google Sheets.
Auto-Reply: Sends an acknowledgment email with ticket ID and SLA timeframe.
Error Handling: Failed triage or delivery attempts are logged in a DLQ.
🧩 How to Use
Configure triggers (email or webhook) and connect credentials for OpenAI, Slack, Gmail, and Google Sheets.
In Workflow Configuration, set:
Slack Channel IDs
CRM Type (HubSpot, Salesforce, or custom)
Google Sheet URL
SLA thresholds (e.g., 2h, 6h, 24h)
Test with a sample ticket and verify routing and summaries in Slack and Sheets.
🔑 Requirements
OpenAI API key (GPT-4o-mini or newer)
Slack OAuth credentials
Google Sheets API access
Gmail/SMTP credentials
CRM API (HubSpot, Salesforce, or custom endpoint)
💡 Customization Ideas
Add sentiment detection for customer tone.
Localize responses for multilingual support.
Extend DLQ logging to Notion or Airtable.
Add escalation alerts for SLA breaches.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.
| Workflow | Automate customer support with GPT-4o, Slack, and CRM integration |
|---|---|
| Complexity | advanced |
| Nodes | 32 |
| Categories | Ticket Management, AI Summarization |
| Author | NodeAlchemy |
| Published | 25 Oct 2025 |
Use the JSON export at /data/workflows/10184/10184.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Short Description An AI powered customer support workflow that automatically triages, summarizes, classifies, and routes tickets to the right Slack and CRM queues. It sends personalized auto rep...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.