Triage and reply to multilingual support tickets with Anthropic Claude

Overview This workflow automates customer support ticket processing using AI-powered analysis. Incoming tickets from email (IMAP) or a webhook endpoint are automatically cleaned, translated to English if necessary, analyzed with AI, and routed based on urgency and category. The workflow can automatically generate draft replies for simple tickets or escalate critical issues to your support team. It also updates your CRM or helpdesk system with structured ticket insights and logs observability metrics for monitoring support performance. This automation helps support teams reduce manual triage work, respond faster to customers, and ensure urgent issues receive immediate attention. --- How It Works 1. Ticket Intake The workflow begins when a support request is received from one of two sources: - IMAP Email Trigger – Reads incoming support emails from a mailbox. - Webhook Trigger – Accepts tickets from external systems such as websites, chatbots, or applications. Both triggers feed the message into a unified processing pipeline. 2. Content Cleaning The workflow extracts readable text from incoming messages using an HTML extraction node. This ensures that emails or formatted messages can be analyzed reliably. 3. Ticket Data Normalization Incoming data is standardized to ensure consistent processing across all ticket sources. The workflow generates fields such as: - ticketid - useremail - originalmessage - timestamp - sourcechannel 4. Language Detection & Translation An AI agent detects the original language of the ticket. If the message is not written in English, it is automatically translated while preserving the original meaning and tone. 5. AI Support Intelligence A second AI agent analyzes the ticket and produces structured insights including: - Sentiment (positive, neutral, negative) - Urgency level (low, medium, high, critical) - Ticket category - Issue summary - Customer churn risk score - Recommended action path 6. Intelligent Routing A Switch node routes the ticket based on the AI analysis: - Auto Reply Path – Generates a draft response. - Escalation Path – Sends the ticket to a support escalation webhook. 7. Draft Reply Generation If the ticket qualifies for automatic handling, an AI agent generates a professional support response based on the ticket content, sentiment, and category. 8. CRM / Helpdesk Update The workflow sends structured ticket information to a CRM or helpdesk system, including: - Ticket ID - Category - Sentiment - Urgency - Churn risk score - AI-generated summary - Draft reply 9. Observability Metrics The workflow logs operational metrics such as response time, ticket category, urgency, sentiment, and escalation status. These metrics can be sent to an observability or monitoring system. --- Setup Instructions 1. Configure Email Credentials (Optional) Add IMAP credentials if you want to process support emails. 2. Configure the Webhook Trigger Use the webhook URL generated by the workflow to receive support tickets from external systems. 3. Add AI Model Credentials Connect your Anthropic API credentials to power the AI agents used for translation, analysis, and response generation. 4. Configure Workflow Variables In the Workflow Configuration node, provide: - CRM or Helpdesk API URL - Escalation webhook URL - Observability logging endpoint (optional) 5. Connect Your CRM or Helpdesk System Ensure the API endpoint accepts JSON payloads containing ticket data and AI insights. --- Use Cases - AI-powered customer support ticket triage - Handling multilingual support requests - Automatically generating draft responses - Escalating critical support tickets - Monitoring support performance metrics --- Requirements - Anthropic API credentials - IMAP email credentials (optional) - CRM or Helpdesk API endpoint - Escalation webhook endpoint - Optional observability or monitoring endpoint