Templates / Automate loan document analysis with Mistral OCR and GPT for underwriting decisions

Automate loan document analysis with Mistral OCR and GPT for underwriting decisions

Ready for 3.0

by Vinay Gangidi · 901 views · created 2025-10-30 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Microsoft OneDrive and OpenAI Chat Model.

How it runs

Trigger: Manually, when you click “Execute workflow”.

  1. Search a folder (Microsoft OneDrive): search (folder)
  2. Get items in a folder (Microsoft OneDrive): work with folder
  3. Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
  4. Combine the Data (Code): runs custom JavaScript code
  5. Download a file (Microsoft OneDrive): download
  6. AI Agent: runs an AI agent, with model: OpenAI Chat Model
  7. Extract text (Mistral AI): uses Mistral AI
  8. Classify the File (Code): runs custom JavaScript code

Services it uses

Microsoft OneDriveOpenAI Chat Model

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (7)

From the author

LOB Underwriting with AI This template ingests borrower documents from OneDrive, extracts text with OCR, classifies each file (ID, paystub, bank statement, utilities, tax forms, etc.), aggregates everything per borrower, and asks an LLM to produce a clear…

Excerpt from Vinay Gangidi's description on n8n.io.

View the original on n8n.io → Check your own copy

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