Automate your customer support with an AI agent that receives messages via webhook, processes them with GPT-4o-mini, and routes the response to GuruSup for multi-channel delivery (WhatsApp, email, web chat).
This workflow takes 10 minutes to set up and zero lines of code.
What You’ll Build
A complete AI-powered support pipeline:
Customer message (webhook) → AI Agent (GPT-4o-mini) → GuruSup (multi-channel response)
The AI agent will:
- Understand the customer’s question in any language
- Generate a helpful, context-aware response
- Send the response to GuruSup for delivery on the right channel
- Return the AI response via webhook for your app to display
What You Need
- n8n instance (cloud or self-hosted)
- GuruSup account — free plan available
- OpenAI API key — for GPT-4o-mini (or swap for any LLM)
- n8n-nodes-gurusup — community node (npm)
Step 1 — Install the GuruSup Community Node
Go to Settings → Community Nodes → Install and search for:
n8n-nodes-gurusup
Click Install. You’ll see the GuruSup node available in your node palette.
Self-hosted? Run
npm install n8n-nodes-gurusupin your n8n directory and restart.
Step 2 — Set Up Credentials
GuruSup API Key
- Go to app.gurusup.com → Settings → API
- Generate a new API key
- In n8n: Settings → Credentials → Add Credential → GuruSup API
- Paste your key and save
OpenAI API Key
- Go to platform.openai.com → API Keys
- Create a new key
- In n8n: Settings → Credentials → Add Credential → OpenAI API
- Paste your key and save
Step 3 — Build the Workflow
Here’s the complete flow — 8 nodes, fully visual:
Node 1: Webhook (Trigger)
| Setting | Value |
|---|---|
| HTTP Method | POST |
| Path | gurusup-support |
| Response Mode | Respond to Webhook |
This creates an endpoint at https://your-n8n.com/webhook/gurusup-support.
Node 2: Set — Extract Fields
Map the incoming webhook data to clean variables:
| Field | Expression |
|---|---|
customerMessage |
{{ $json.body.message }} |
customerEmail |
`{{ $json.body.email |
channel |
`{{ $json.body.channel |
conversationId |
`{{ $json.body.conversationId |
timestamp |
{{ new Date().toISOString() }} |
Node 3: IF — Message Valid?
Check that the message isn’t empty:
- Condition:
customerMessage→ is not empty - True → continues to AI Agent
- False → responds with 400 error
Node 4: AI Agent — Process Message
This is where the magic happens. Configure the AI Agent node:
Prompt:
Customer ({{ $json.channel }}): {{ $json.customerMessage }}
System Message:
You are GuruSup AI, an expert customer support agent for GuruSup — an AI-powered customer service platform.
Your responsibilities:
1. Understand the customer's issue or question
2. Provide clear, helpful, and concise answers
3. If the issue requires human intervention, say so clearly
4. Always be professional, empathetic, and solution-oriented
Product knowledge:
- GuruSup automates customer support with AI agents
- Supports WhatsApp, email, web chat, and voice channels
- Integrates with CRMs (HubSpot, Salesforce), helpdesks, and 700+ apps via n8n
- Has an n8n community node for workflow automation
- Offers multi-language support (ES/EN)
Response format:
- Keep responses under 200 words
- Use bullet points for steps or lists
- If you can't solve it, escalate: 'I will connect you with a specialist'
IMPORTANT: Respond in the same language the customer uses.
Connect the OpenAI Chat Model sub-node with gpt-4o-mini and temperature 0.3.
Node 5: Set — Format Response
Prepare the data for GuruSup:
| Field | Expression |
|---|---|
aiResponse |
{{ $json.output }} |
originalMessage |
{{ $('Set — Extract Fields').item.json.customerMessage }} |
customerEmail |
{{ $('Set — Extract Fields').item.json.customerEmail }} |
conversationId |
{{ $('Set — Extract Fields').item.json.conversationId }} |
Node 6: GuruSup — Send AI Response 
This is the GuruSup community node — the key piece:
| Field | Value |
|---|---|
| Message ID (fid) | {{ 'n8n-' + Date.now().toString() }} |
| Thread ID (thread_fid) | `{{ $json.conversationId |
| User ID (user_fid) | {{ $json.customerEmail }} |
| Message Body | {{ $json.aiResponse }} |
| Thread Format | Chat |
| Is Customer Support Agent | true |
| Sender Name | GuruSup AI Agent |
| Integration Code | API |
Pro tip: Change
integrationCodeto
Node 7: Respond to Webhook — Success
Return the AI response to the caller:
{
"success": true,
"aiResponse": "{{ $json.aiResponse }}",
"conversationId": "{{ $json.conversationId }}",
"timestamp": "{{ new Date().toISOString() }}"
}
Node 8: Respond to Webhook — Error (on False branch from IF)
{
"success": false,
"error": "Message body is required. Send POST with { \"message\": \"your text\" }"
}
Response code: 400
Step 4 — Test It
Activate the workflow, then send a test request:
curl -X POST https://your-n8n.com/webhook/gurusup-support \
-H 'Content-Type: application/json' \
-d '{
"message": "How do I integrate GuruSup with WhatsApp?",
"email": "[email protected]",
"channel": "web"
}'
The AI response also gets sent to GuruSup, where it appears in the conversation thread and can be delivered to the customer on any connected channel.
Step 5 — Customize
Swap the LLM
Replace the OpenAI Chat Model with any supported model:
- Anthropic Claude — better for nuanced, longer responses
- Ollama (self-hosted) — no API costs, full privacy
- Google Gemini — great multilingual support
Add Memory
Connect a Window Buffer Memory sub-node to the AI Agent for conversation context. This way the agent remembers previous messages in the same thread.
Add Tools
Give the AI agent superpowers by connecting tool sub-nodes:
- HTTP Request Tool — let the agent query your product API for order status, account info, etc.
- Postgres/MySQL Tool — let it look up customer data directly
- Google Sheets Tool — read FAQ answers from a spreadsheet
Multi-language routing
Use the language field in the GuruSup node to force a response language, or leave it empty for auto-detection. GuruSup supports full ES/EN and can route to language-specific agent teams.
Use Cases
This same pattern works for:
| Use Case | Trigger | AI Agent Prompt Tweak |
|---|---|---|
| E-commerce support | Shopify webhook | Add product catalog knowledge |
| SaaS onboarding | Form submission | Guide new users through setup |
| IT helpdesk | Email forward | Triage and categorize issues |
| Lead qualification | CRM webhook | Score and route leads |
| WhatsApp bot | WhatsApp webhook | Conversational, short responses |
Resources
Questions? Drop them below — happy to help with your setup!