This n8n workflow orchestrates a comprehensive customer success system powered by AI, aimed at streamlining client onboarding, support, health monitoring, account expansion, training, and retention. It begins with a webhook trigger that receives customer messages, which are then analyzed by a central CCO (Chief Customer Officer) agent powered by OpenAI GPT-4. This agent delegates specific tasks to specialized AI agents, each focusing on a critical aspect of customer success. These agents, including onboarding, support, health analysis, expansion, training, and retention specialists, utilize GPT-4-mini models to perform their functions efficiently and in parallel. The workflow facilitates proactive customer management, personalized onboarding, issue resolution, customer health insights, growth opportunities, and retention strategies, making it an ideal solution for scaling customer success efforts with AI automation.
AI-Driven Customer Success 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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