AI Document Data Extraction Pipeline
Turn any incoming document — invoice, contract, form, PDF — into structured records automatically.
What is this automation?
Manual data entry from documents is the single largest source of administrative waste in most operations teams. This automation reads any incoming PDF or scan, extracts the relevant fields, validates them, and writes them into the correct system — with a human-in-the-loop only when the model is uncertain.
The Problem
Your team receives dozens of PDFs every day — invoices, contracts, forms, purchase orders — and someone has to read each one and type the data into your ERP, CRM, or finance system. It's slow, it's error-prone, and it scales linearly with volume.
The Solution
An ingestion pipeline that accepts documents from email or a watched folder, runs them through OCR + structured extraction, validates the extracted fields against business rules, and writes confirmed records to the right system. Anything below the confidence threshold is routed for human review with the document and extracted fields side-by-side.
Step-by-step workflow
Document Ingest
Email forwarding rule or folder watcher captures incoming documents.
OCR Layer
Convert PDFs and scans into machine-readable text with bounding boxes.
Structured Extraction
AI extracts fields against a per-document-type schema.
Validate Against Rules
Check totals, dates, references, and required fields.
Confidence Threshold
≥95% confidence and validation passes go straight through.
Human Review Queue
Anything else routed to a side-by-side review UI for approval.
Write to System
Approved records pushed to ERP/CRM/Sheets with full audit trail.
Tools used
What you can expect
Related automations
Want this automation built for you?
We'll set up the entire workflow — integrated with your tools, tested, and ready to go. Typical turnaround: 2–5 business days.