This n8n workflow orchestrates a comprehensive AI-driven customer support system, simulating a support team that handles inquiries efficiently. It begins with a webhook trigger that captures customer chat messages. The messages are first analyzed by a central ‘Support Director’ AI agent, which evaluates the issue and determines the appropriate support function. Depending on the support need, the workflow delegates tasks to specialized AI agents, including Tier 1 Support, Technical Specialists, Customer Success, Knowledge Base Managers, Escalation Handlers, and Quality Assurance. Each agent uses the GPT-4.1-mini model to deliver fast, targeted responses, resolutions, documentation, or escalation handling. The workflow effectively enables a multi-layered support environment, reducing response times and improving customer satisfaction. Practical use cases include customer onboarding, technical troubleshooting, escalation management, and quality control, making it ideal for organizations seeking scalable and intelligent customer service automation.
AI-Powered Customer Support Multi-Agent Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agentTool, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolThink, stickyNote |
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