AI Document Processing Agent

AI Document Processing Agent
Extract Data in 30 Seconds, Not 15 Minutes

Your team spends hours every day reading documents, copying data into spreadsheets, and routing paperwork to the right person. An AI document processing agent reads invoices, contracts, applications, and forms, extracts structured data with 95%+ accuracy, classifies documents by type, and routes them to the correct workflow. Processing time drops from 15 minutes per document to under 30 seconds.

14 day delivery
95%+ accuracy
Full source code

What This Agent Does

Reads documents, extracts data, validates accuracy, and routes to the right workflow. No more manual data entry.

Intake from email attachments, file uploads, scanned PDFs, and API submissions
OCR and document understanding for scanned documents, handwriting, and complex layouts
Intelligent data extraction that understands context, not just field positions on a page
Structured output to JSON, CSV, or direct database inserts with field validation
Document classification that identifies document type and routes to the correct workflow
Validation rules that flag missing fields, inconsistent data, and potential errors for human review
Workflow triggers that kick off approval chains, payment processing, or data entry on extraction
Integration with ERP, accounting, and CRM systems to populate records automatically
PII detection and redaction for compliance with data privacy regulations
Processing dashboard with volume, accuracy rates, exception counts, and throughput metrics
Custom extraction templates per document type with field mapping configuration
Audit trail with original document, extracted data, confidence scores, and any human corrections

Measured ROI

30 seconds

Processing Speed

Down from 15 minutes average manual processing per document

95%+

Extraction Accuracy

On structured fields like amounts, dates, names, and addresses

$5,250+

Monthly Savings

Based on 120 hours of manual data entry eliminated per month

85%

Error Reduction

Fewer data entry mistakes compared to manual transcription

Tech Stack

LangChain
Agent framework
OpenAI / Claude
Document understanding
Tesseract
OCR engine
PostgreSQL
Extracted data store
S3
Document storage
BullMQ
Processing queue
Hono
API server
Railway
Hosting

14 Day Build Timeline

Day 1 to 2

Document Audit

Catalog document types, sample extraction from 50+ documents, define field schemas, map target systems.

Day 3 to 5

Extraction Pipeline

OCR setup, LLM extraction prompts, field validation rules, confidence scoring, structured output formatting.

Day 6 to 8

Classification and Routing

Document type classifier, workflow routing, approval chain triggers, exception handling.

Day 9 to 10

Integration

Connect to target systems (ERP, accounting, CRM), build review queue for low confidence extractions.

Day 11 to 12

Testing

Accuracy benchmarking on 200+ real documents, edge case handling, load testing, PII redaction validation.

Day 13 to 14

Launch

Production deployment, monitoring dashboard, team training on review workflow.

Document Processing Agent

$4,500

14 day delivery • OCR included • 30 day support

Simple extraction agents from $1,500 • Enterprise from $12,000

Build Your Document Agent

See a RAG Application We Built

A document processing system with intelligent extraction, classification, and routing that reduced manual data entry by 85% for an insurance operations team.

Read the Case Study

Frequently Asked Questions

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50+ products shipped$10M+ funding raised2-week delivery

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