Automated Outlook Inbox Organization with GPT-4 Agent

This n8n workflow automates Outlook inbox management using an AI agent powered by GPT-4. It starts with a Microsoft Outlook Trigger node that polls the inbox every minute for new emails, extracting key fields like sender, subject, read status, and body content. The HTML email body is then converted to Markdown and sanitized via a Code node, stripping unnecessary elements like images, links, and tables, while truncating to 4000 characters for optimal AI processing.

Next, the cleaned email data feeds into an AI agent setup with specialized tools: Move Message, Get Folders (required), and Get Contacts (optional). These tools are configured for automatic model usage, enabling the LLM (e.g., GPT-4.1 via OpenRouter) to analyze email content and decide actions like categorizing and relocating emails to appropriate folders. This creates a smart, context-aware organization system without manual rules.

Benefits include massive time savings by achieving inbox zero effortlessly, reducing email overload, and ensuring important messages are prioritized. Use cases span professionals handling high email volumes—sales teams sorting leads, managers triaging updates, or anyone seeking productivity gains. It's scalable for personal or team inboxes, with best practices emphasizing strong LLM models for reliable tool calls.