This advanced n8n workflow acts as a complete AI-driven data analytics department within your organization. It starts with a webhook trigger that receives data requests through chat messages. The central CDO (Chief Data Officer) AI agent analyzes these requests to determine the data functions needed. It then delegates tasks to specialized AI agents, each focusing on a specific aspect of data analysis, such as data science, business intelligence, data engineering, machine learning, data visualization, and governance. Each agent uses the GPT-4.1-mini model for rapid and focused execution. The workflow facilitates real-time, comprehensive insights—ideal for predictive analytics, KPI tracking, data pipeline automation, machine learning deployment, and governance compliance. Practical use cases include strategic decision-making, operational reporting, and data management across diverse data-driven scenarios.
AI-Powered Data Analytics 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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