Document AI Setup

What You Get

A complete document extraction system tailored to your specific forms and workflows. Snap a photo, get structured data.

We use state-of-the-art multimodal LLMs — not older dedicated document products like GCP DocAI. The result is better accuracy, lower cost per page, and faster iteration. No vendor lock-in to a deprecated OCR pipeline.

Deliverables

• Multi-model baseline testing — We test GPT-5, Gemini 3.1 Pro, Claude Opus 4.6, and open-source models against your actual documents
• Optimized extraction prompts — Field-specific instructions tuned for your document types
• Validation rules — Business logic to catch errors before they happen
• Export integration — CSV, API, or direct integration with your existing tools
• Review interface — Web or mobile app for human verification of edge cases

The Process

Week 1: Baseline

1. You provide 50-100 sample documents (varied handwriting, formats)
2. We run them through 3-4 AI models in parallel
3. You score the results — correct, minor error, wrong
4. We identify which model + prompt combo works best

Week 2: Optimization

5. Prompt engineering to fix common errors
6. Add validation rules (date formats, number ranges, required fields)
7. Build review interface for low-confidence extractions
8. Test on fresh documents to verify accuracy

Week 3+: Optional Enhancements

• Fine-tuning for 95%+ accuracy
• Mobile app for field capture
• Batch processing for historical backfill
• API integration with your systems

Pricing

Ongoing costs: ~$0.02-0.10 per document for AI API calls

Best For

• Paper-heavy operations — Invoices, receipts, forms, applications
• Volunteer organizations — Clubs, nonprofits with limited admin time
• Field data collection — Inspections, surveys, logs
• Legacy digitization — Converting years of paper records

Document Types We've Handled

• Flight logs and time sheets
• Insurance applications
• Medical intake forms
• Inspection reports
• Invoices and receipts
• Handwritten notes and surveys

Why Not Just Use ChatGPT?

You could upload documents to ChatGPT manually. But:

• Consistency — Same prompt engineering, every time
• Validation — Catch errors before they hit your database
• Integration — Direct export to your tools, not copy-paste
• Accuracy tracking — Know your error rate, improve over time
• Scale — Process hundreds of documents, not one at a time

We build the system so your team can use it without thinking about AI.

Case Studies

Insurance

Document Processing Automation

Cut document prep time from 5 hours to 30 minutes with intelligent extraction and validation. $180K annual savings, 4× throughput increase.

90% time reductionRead case study →

Aviation

Flying Club Invoice Automation

Replaced manual paper slip entry with AI-powered extraction — from 10 minutes per slip to 10 seconds. Built in 1 week.

98% time savedRead case study →

Fixed price. Your documents, structured automatically.