Build an AI Document Classification Workflow in 10 Minutes

Every knowledge worker sorts files manually. Invoices go to Finance, contracts go to Legal, proposals go to Sales. Multiply this by 50 people and 200 files a day and you have a significant productivity drain. AI classification solves this with zero ongoing effort after the initial setup.

Step 1: Define Your Categories

Start with a clear taxonomy. Examples: Invoice, Contract, Report, Proposal, Technical Doc, HR, General. The simpler and more distinct the categories, the more accurate the classifier will be.

Step 2: Choose Your Tool

Several no-code platforms offer document classification out of the box:

• Make (formerly Integromat) — connect file triggers to an OpenAI classification step
• Zapier + ChatGPT action — classify new Gmail attachments automatically
• Azure AI Document Intelligence — enterprise-grade classification with prebuilt models
• Google Document AI — native GCP integration for document routing

Step 3: Build the Automation

A typical workflow:

1. File arrives in a monitored inbox or folder
2. AI model classifies the document type (returns: "Invoice")
3. Automation moves the file to the appropriate destination folder
4. Optional: notify the relevant team member via Slack or email

Step 4: Review and Refine

Set up a "Review" folder for low-confidence classifications. Periodically check it and use the corrections to fine-tune your model. Most classifiers reach 95%+ accuracy after a few hundred corrections.

Sharing Classified Files

Once files are in the right place, sharing them is the final step. For external recipients, TiniDrop lets you create a quick shareable link from any file without giving external parties access to your entire file system.