Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Analyze customer support ticket sentiment and route to Slack channels Who is this for Customer support teams, customer experience managers, and operations teams that need to triage incoming support...
n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.switch, n8n-nodes-base.slack, n8n-nodes-base.respondtowebhook
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by TakatoYamada.
Original n8n.io sourceCustomer support teams, customer experience managers, and operations teams that need to triage incoming support tickets in real time without manual classification. Ideal for SaaS companies, e-commerce businesses, and service providers handling high ticket volumes.
This workflow automatically triages incoming customer support tickets by sentiment using OpenAI GPT-4o. A ticket arrives via webhook, is normalized, analyzed for anger intensity (scored 0-10), and routed to the correct Slack channel in real time. High-anger tickets are escalated immediately, mid-range tickets go to standard support, and low-anger tickets or feedback are logged separately.
Adjust the anger score thresholds in the Switch node to match your team's escalation policy. Modify the GPT-4o prompt to detect additional sentiment categories or extract custom fields from tickets. Add language detection for multilingual support.
| # | Node Name | Type | Role |
|---|---|---|---|
| 1 | When Ticket Received | Webhook | Trigger on incoming HTTP POST request |
| 2 | Normalize Ticket Data | Code | Sanitize and validate ticket fields |
| 3 | OpenAI Sentiment Analysis | OpenAI | AI anger scoring and sentiment tagging |
| 4 | Parse Sentiment Output | Code | Parse JSON output and decide routing |
| 5 | Route by Sentiment Score | Switch | 3-way branch: ≥8 / 4-7 / ≤3 |
| 6 | Send to Slack #escalation | Slack | Alert for high-anger tickets |
| 7 | Send to Slack #support | Slack | Notification for mid-range tickets |
| 8 | Send to Slack #feedback | Slack | Log for low-anger tickets or feedback |
| 9 | Respond with Routing Outcome | Respond to Webhook | Confirm result to the caller |
Total: 9 nodes (+ 5 Sticky Notes)
| # | Sticky Note Title | Color | Role |
|---|---|---|---|
| 1 | Main Sticky Note (Overview) | Yellow | Workflow overview, How it works, Setup steps, Customization |
| 2 | Receive and normalize | White | Covers webhook reception and data normalization |
| 3 | Analyze sentiment | White | Covers GPT-4o sentiment analysis |
| 4 | Parse and route | White | Covers JSON parsing and routing logic |
| 5 | Post to Slack channels | White | Covers all 3 Slack post nodes and webhook response |
All sticky notes use H2 headings (## ) and follow n8n public guidelines.
ai gpt-4 openai slack customer-support sentiment-analysis automation
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.
| Workflow | Triage support tickets by GPT-4o sentiment and route them to Slack |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Ticket Management, AI Summarization |
| Author | TakatoYamada |
| Published | 26 Apr 2026 |
Use the JSON export at /data/workflows/15304/15304.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.
Analyze customer support ticket sentiment and route to Slack channels Who is this for Customer support teams, customer experience managers, and operations teams that need to triage incoming support...
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.