Classify and route uploaded documents to Google Drive with an AI agent

What This Workflow Does Upload a document (PDF, PNG, JPEG) via a web form and let an AI agent classify it and route it to the correct Google Drive folder on its own. No rule-based routing, no Switch nodes – the agent decides the category and calls the matching move tool. Documents it can't confidently classify are moved to a Needs Review folder and flagged via Slack.

How It Works 1. User uploads a file through the hosted web form 2. The file is uploaded to a temporary Incoming folder in Google Drive 3. The file ID and name are passed to the AI Agent 4. The agent classifies the document and calls the matching Move tool (e.g. movetomedical) 5. If it can't confidently classify, it calls Move to Needs Review + sends a Slack alert

Supported categories: medicalinvoice · restaurantinvoice · hotelinvoice · tradesinvoice · telecominvoice

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Setup Guide

1. Create Your Google Drive Folders Create one folder per category in Google Drive: - Incoming (temporary landing folder) - Medical · Restaurant · Hotel · Trades · Telecom - Needs Review

2. Connect Google Drive 1. In n8n, go to Settings → Credentials and create a Google Drive OAuth2 credential 2. This requires a Client ID and Client Secret from Google Cloud Console (APIs & Services → Credentials → OAuth 2.0 Client ID) 3. Make sure the Google Drive API is enabled in your Google Cloud project 4. Open the Upload to Incoming Folder node and select your Incoming folder 5. Open each of the 6 Move tool nodes and select the correct target folder

3. Connect Your Chat Model 1. Add a credential for your chosen model (Gemini, OpenAI, Anthropic) in Settings → Credentials 2. Open the Chat Model node and assign the credential 3. Any tool-calling capable model will work – Gemini 1.5 Pro or GPT-4o recommended