This n8n workflow automates customer email support by integrating AI-driven responses with a fallback system to ensure reliability and efficiency. It begins by monitoring a Gmail account for new messages using a Gmail trigger. When an email arrives, the system employs an AI agent that utilizes two language models: Google Gemini Chat as the primary, fast, cost-effective model, and OpenAI GPT-4 as the fallback for complex or nuanced requests. The AI agent analyzes the incoming email, generates an appropriate response, and then sends this reply directly through Gmail. Simultaneously, all interactions, including email details and response data, are logged into a Google Sheets document for tracking and analysis. Additional supporting notes explain the rationale for using multiple models, setup instructions, and customization tips, making this workflow ideal for businesses seeking to automate customer support while maintaining high accuracy and response reliability.
Intelligent Email Support with AI and Fallback Models
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, gmail, gmailTrigger, googleSheetsTool, stickyNote |
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