// 02 — DOCINTEL

DocIntel

Stop paying people to read documents. Let the system extract what matters and put it where it belongs.

// THE PROBLEMWhat's actually broken

Every business that deals with paperwork has the same hidden cost — people manually reading documents, extracting data, and typing it into another system. A property manager hand-keys lease data into property management software. A manufacturer matches invoices to POs in their ERP. An e-commerce brand updates product data from supplier PDFs. Each one is a human doing what a computer can do — and that human costs $40K–$60K/year.

// WHAT I BUILDDeliverables

  • Ingestion pipeline — monitors a folder, email inbox, or API endpoint
  • OCR + classification engine — extracts text and structured data from PDFs, scans, images; classifies document type automatically
  • Data schema design — custom extraction schema matched to your target system fields
  • Integration to target system — CRM, ERP, Google Sheets, Airtable, or custom database via API
  • Exception handling dashboard — admin view for failed classifications + one-click correction + feedback loop
  • 30-day calibration period — I monitor extraction accuracy and tune the pipeline post-launch
  • Scope: up to 3 document types, up to 2 target system integrations.

// TIMELINESix weeks to live extraction

Week 1Discovery + sample collection
Weeks 2–3OCR pipeline + classification
Week 4Integration + exception dashboard
Week 5Testing with live documents
Week 6Go-live + 30-day calibration

Total: 6 weeks.

Real computer vision pipeline — not 'paste this into ChatGPT'. Documents are classified by type, then run through extraction schemas tuned to your specific document formats. Confidence thresholds gate what goes through automatically versus what queues for human review. Every correction trains the next round.

// FITWho this is for

A good fit if…

  • Real estate investors (lease abstraction, rent roll automation, disclosure packets)
  • E-commerce operators (supplier invoice processing, product data from catalogs)
  • Professional services (contract data extraction, KYC verification)
  • Any SMB with $1M+ revenue and at least one person whose primary job is reading and transcribing documents

Probably not for you if…

  • Your documents are highly inconsistent handwritten one-offs with no repeating structure, or you have fewer than ~50 documents per month to process. The economics don't work below volume.

// OBJECTIONSQuestions I get asked

“We tried off-the-shelf OCR (Adobe, etc.) — didn't work well.”
Off-the-shelf tools are trained on generic documents. DocIntel is calibrated to your specific document types. The accuracy gap between generic OCR and a trained pipeline is often 60% vs. 95%.
“Can't we just use ChatGPT to read these?”
ChatGPT can read one document if someone pastes it in manually. DocIntel monitors your inbox, processes 500 documents overnight, and deposits structured data into your CRM before your team gets to work.
“How do we know the extracted data will be accurate?”
The 30-day calibration period is built in. The exception dashboard flags anything below a confidence threshold for human review. Nothing goes into your database unreviewed until accuracy reaches a level you've signed off on.