Case Study
n8n Document Processing and AI Review Pipeline
A document-processing workflow that retrieves files from Google Drive, extracts PDF and DOCX content, builds an AI review request, and routes outputs by review status.
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AI Document Automation
This n8n proof of concept turns source documents into structured review outputs. It searches Google Drive, downloads source files, separates PDF and DOCX processing paths, extracts and normalizes text, attaches prompt context, generates an AI assessment, and routes the resulting outputs into review-ready or needs-attention paths.
The Workflow Problem
• Source documents could arrive as different file types
• Document text needed to be extracted before AI review could run reliably
• Review outputs needed a clear routing path instead of being handled manually
System Built
Drive Intake
The workflow searches for source documents in Google Drive and downloads the required file.
File-Type Routing
PDF and DOCX files go through separate extraction paths that match their structure.
AI Review Request
Extracted document text is combined with prompt context before the AI assessment step.
Output Routing
Generated outputs are parsed and sent toward review draft, raw output, or needs-attention storage.
Operational Outcomes
• Google Drive files are retrieved and routed by file type
• PDF and DOCX content extraction paths are handled separately
• AI review outputs are generated, parsed, scored, and routed into the correct delivery path