Automate intelligent customer support responses with AI and Slack
Automate intelligent customer support responses with AI and Slack How it works Receive request via webhook with customer question Analyze sentiment and detect urgency using JavaScript Send urgent alerts to Slack for critical cases Search knowledge base and fetch conversation history from PostgreSQL Generate AI response with context-aware prompts Route intelligently: Auto-respond via email OR escalate to Slack Log everything to Google Sheets and PostgreSQL for analytics Setup steps Slack webhooks: Replace YOUR_URGENT_WEBHOOK and YOUR_ESCALATION_WEBHOOK with your webhook URLs Google Sheets: Replace YOUR_SPREADSHEET_ID with your spreadsheet ID and authenticate Email: Configure SMTP/Gmail credentials in the email node PostgreSQL (optional): Create support_conversations table or disable DB nodes Production: Replace mock AI nodes with OpenAI/Anthropic API nodes Key features Multi-language support (Japanese & English) Sentiment analysis with urgency detection Smart escalation routing Real-time Slack notifications Comprehensive analytics logging. An n8n automation workflow template by yuta tokumitsu.
yuta tokumitsu
web
free
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