Block 1 - Sticky Note8
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
n8n – Outlook AI Categorization & Labeling (Fully Automated) Zero manual mapping. The workflow automatically discovers your Outlook folders, understands the context, assigns the correct catego...
n8n-nodes-base.stickynote, n8n-nodes-base.splitinbatches, n8n-nodes-base.markdown, n8n-nodes-base.set, n8n-nodes-base.filter, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.merge
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Can KURT.
Original n8n.io source> Zero manual mapping. The workflow automatically discovers your Outlook folders, understands the context, assigns the correct category, and moves the email into the right folder. It uses the original Microsoft Outlook nodes plus an AI Agent. You can connect OpenAI or any other LLM provider.
Action + Project).Connect Outlook
In n8n → Credentials → Microsoft Outlook, grant at least Mail.ReadWrite.
Connect AI
In n8n → Credentials, set up OpenAI (or another model). Works best with GPT-4.x or GPT-4o.
Import the Workflow
n8n → Workflows → Import from File/Clipboard and paste the provided JSON.
Enable Trigger
Adjust the Schedule Trigger (e.g., every 5 minutes).
Run & Verify
Test run and watch emails get categorized and moved automatically.
You are an advanced AI email categorization system. Your mission is to intelligently analyze and categorize emails with maximum accuracy and context awareness.
INTELLIGENT CATEGORIZATION ENGINE:
- Parse all available categories: {{ $json.category }}
- Multi-layer analysis: Sender, Subject, Body, Links, Attachments
- Prioritize: Security threats, Action Required, Business Context
- Specialized: SaaS, Hosting, E-commerce, Finance, Support, Corporate
- Anti-Spam: Pattern detection, spoofing, red-flag subjects
- Dual Logic: Primary + Secondary categories when applicable
OUTPUT FORMAT (JSON only):
{
"subject": "EXACT_EMAIL_SUBJECT",
"category": "PRIMARY_CATEGORY_FROM_AVAILABLE_LIST",
"subCategory": "SECONDARY_CATEGORY_IF_APPLICABLE",
"analysis": "Reasoning",
"confidence": "HIGH/MEDIUM/LOW"
}
Available Categories: {{ $json.category }}
Mail.ReadWrite permissions. n8n, Outlook, Email, AI, Automation, Categorization Connect → Import → Run.
No manual mapping. AI-powered categorization that labels and organizes your Outlook mailbox automatically.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Automatic email categorization and organization with Outlook and GPT-4o |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Ticket Management, AI Summarization |
| Author | Can KURT |
| Published | 06 Sept 2025 |
Use the JSON export at /data/workflows/8336/8336.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
n8n – Outlook AI Categorization & Labeling (Fully Automated) Zero manual mapping. The workflow automatically discovers your Outlook folders, understands the context, assigns the correct catego...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.