--- title: "Workflow to n8n Workflow to Supportflow Lite Simple Ai Customer Support Chatbot" platform: "Promptally" canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-supportflow-lite-simple-ai-customer-support-chatbot" modality: "WORKFLOW" category: "n8n Automation Blueprints" compatible_models: [Universal / Model Agnostic] access_tier: "Free Public Artifact (No Auth Required)" license: "MIT" --- # Workflow to n8n Workflow to Supportflow Lite Simple Ai Customer Support Chatbot **Summary:** Workflow to n8n Workflow to Supportflow Lite Simple Ai Customer Support Chatbot is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to Supportflow Lite Simple Ai Customer Support Chatbot. Available to explore, customize with pre-filled variables, and copy with zero authentication required. ## Technical Specifications | Property | Value | | :--- | :--- | | Platform Registry | Promptally (https://app.promptally.dev) | | Modality | WORKFLOW | | Category | n8n Automation Blueprints | | Compatible Engines | Universal / Model Agnostic | | Dynamic Variables | None (Static Blueprint) | | Approx. Token Length | 1,698 | | Access Tier | Free Public Artifact (No Auth Required) | | License | MIT | ### Pre-Filled Template & Production Source ```json { "name": "SupportFlow Lite \u2014 Simple AI Support Bot (No RAG)", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "supportflow-lite", "responseMode": "responseNode", "options": {} }, "id": "trigger-webhook", "name": "Receive Message", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 200, 400 ], "webhookId": "supportflow-lite" }, { "parameters": { "jsCode": "const body = $input.first().json.body || $input.first().json;\nconst message = body.message || body.text || '';\nconst sessionId = body.session_id || require('crypto').randomUUID();\nconst customerName = body.customer_name || 'Customer';\n\nif (!message || message.trim().length < 2) {\n throw new Error('Message is required.');\n}\n\nreturn [{ json: { message: message.trim(), sessionId, customerName, receivedAt: new Date().toISOString(), messageId: require('crypto').randomUUID() } }];" }, "id": "validate-input", "name": "Validate Input", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 420, 400 ] }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "=You are a helpful customer support assistant for {{ $env.SUPPORTFLOW_COMPANY_NAME || 'our company' }}.\n\nCompany info:\n{{ $env.SUPPORTFLOW_COMPANY_INFO || 'We are a technology company focused on providing excellent customer service.' }}\n\nRules:\n1. Be friendly, professional, and concise\n2. Answer based on the company info provided\n3. If you don't know the answer, say: 'I don't have that information. Let me connect you with our team at [support email].'\n4. Keep responses under 150 words\n5. Never make up product features, prices, or policies\n\nRespond in JSON: { \"answer\": \"...\", \"confidence\": 0.0-1.0, \"category\": \"faq|billing|technical|complaint|other\" }" }, { "role": "user", "content": "=Customer {{$json.customerName}} asks:\n{{$json.message}}" } ] }, "options": { "temperature": 0.3, "maxTokens": 500, "responseFormat": "json_object" } }, "id": "ai-respond", "name": "AI: Generate Response", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 660, 400 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "jsCode": "const original = $('Validate Input').first().json;\nconst aiRaw = $input.first().json;\nlet ai;\ntry {\n ai = JSON.parse(aiRaw.message?.content || aiRaw.content || '{}');\n} catch (e) {\n ai = { answer: 'Sorry, I had trouble processing that. Please try again.', confidence: 0, category: 'other' };\n}\n\nreturn [{ json: { ...original, answer: ai.answer || '', confidence: ai.confidence || 0, category: ai.category || 'other', respondedAt: new Date().toISOString() } }];" }, "id": "merge-response", "name": "Merge Response", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 900, 400 ] }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "={{ $env.SUPPORTFLOW_SHEET_ID }}", "mode": "id" }, "sheetName": { "__rl": true, "value": "Lite Conversations", "mode": "name" }, "columns": { "mappingMode": "defineBelow", "value": { "Message ID": "={{ $json.messageId }}", "Session ID": "={{ $json.sessionId }}", "Customer": "={{ $json.customerName }}", "Question": "={{ $json.message }}", "Answer": "={{ $json.answer }}", "Confidence": "={{ $json.confidence }}", "Category": "={{ $json.category }}", "Received": "={{ $json.receivedAt }}", "Responded": "={{ $json.respondedAt }}" } }, "options": {} }, "id": "log-sheets", "name": "Log to Sheets", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 1140, 300 ], "retryOnFail": true, "maxTries": 2 }, { "parameters": { "respondWith": "json", "responseBody": "={{ JSON.stringify({ success: true, messageId: $json.messageId, answer: $json.answer, confidence: $json.confidence, category: $json.category }) }}" }, "id": "respond", "name": "Respond to Customer", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 1140, 500 ] }, { "parameters": { "content": "## SupportFlow Lite \u2014 Simple AI Bot\n\nNo vector database needed.\nUses company info from environment variable.\n\nBest for: Small businesses, MVPs, testing.\nSetup: 2 minutes (just OpenAI + Sheets).\n\nUpgrade to Main workflow when you\nneed RAG-powered knowledge base.", "width": 350, "height": 220, "color": 6 }, "id": "note-overview", "name": "Sticky Note: Lite", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 120, 140 ] } ], "connections": { "Receive Message": { "main": [ [ { "node": "Validate Input", "type": "main", "index": 0 } ] ] }, "Validate Input": { "main": [ [ { "node": "AI: Generate Response", "type": "main", "index": 0 } ] ] }, "AI: Generate Response": { "main": [ [ { "node": "Merge Response", "type": "main", "index": 0 } ] ] }, "Merge Response": { "main": [ [ { "node": "Log to Sheets", "type": "main", "index": 0 }, { "node": "Respond to Customer", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1", "saveManualExecutions": true }, "tags": [ { "name": "SupportFlow", "id": "supportflow" }, { "name": "AutoFlow", "id": "autoflow" }, { "name": "Lite", "id": "lite" } ], "meta": { "instanceId": "supportflow-lite-v1" } } ``` ## Verified Execution Output / Benchmark ```text Verified execution output available on the canonical page. ``` ## Related Blueprints on Promptally - [Workflow to n8n Workflow to Ai Product Imagines](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-product-imagines) - [Workflow to n8n Workflow to Customer Support Channel And Ticketing System With Slack And Linear](https://app.promptally.dev/p/workflow-n8n-workflow-to-customer-support-channel-and-ticketing-system-with-slack-and-linear) - [Workflow to n8n Workflow to Enhance Security Operations With The Qualys Slack Shortcut Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-enhance-security-operations-with-the-qualys-slack-shortcut-bot) - [Workflow to n8n Workflow to Ai Powered Information Monitoring With Openai, Google Sheets, Jina Ai And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-powered-information-monitoring-with-openai-google-sheets-jina-ai-and-slack) - [Workflow to n8n Workflow to Venafi Cloud Slack Cert Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-venafi-cloud-slack-cert-bot) - [Workflow to n8n Workflow to Creating A Ai Slack Bot With Google Gemini](https://app.promptally.dev/p/workflow-n8n-workflow-to-creating-a-ai-slack-bot-with-google-gemini) - [Workflow to n8n Workflow to Enrich Pipedrive S Organization Data With Openai Gpt 4o & Notify It In Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-enrich-pipedrive-s-organization-data-with-openai-gpt-4o-notify-it-in-slack) - [Workflow to n8n Workflow to Sentiment Analysis Tracking On Support Issues With Linear And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-sentiment-analysis-tracking-on-support-issues-with-linear-and-slack)