DocStream — Paperclip Document Automation
$8,000–$15,000 implementationDocStream processes contracts, invoices, forms, and insurance documents automatically — including the messy, unstructured PDFs that rule-based OCR tools fail on 30–40% of the time. Claude AI understands document semantics, not just character recognition, which is why it extracts the indemnification clause limit even when it's phrased twelve different ways in twelve different contracts.
The Manual Document Processing Tax
Finance teams in growing companies spend an average of 15–20 minutes manually keying data from each invoice into their accounting system. At 50 invoices per day, that's 12–17 hours of AP staff time — every day — doing a task with no strategic value and a high error rate.
Legal teams read every contract before a deal closes. The average enterprise contract is 40–80 pages. A paralegal at $60/hour reading and summarizing a 60-page contract spends 3–4 hours on it. If you close 20 deals a month, that's 60–80 hours of paralegal time per month, plus attorney review time on top.
Insurance companies triage hundreds of claims per day. Each claim requires a human to read it, classify it, and route it to the right adjuster. The manual triage process takes 8–12 minutes per claim. The cost is not just the time — it's the bottleneck it creates downstream in the claims pipeline.
15 minutes per document × 200 documents/day × $25/hour burdened labor cost = $1,250/day or $325,000/year in manual document processing labor. DocStream implementation at $10,000 + $2,500/month retainer = $40,000/year. ROI: 8x return in year one.
How DocStream Works
A four-stage pipeline from raw document to structured action — configured for your document types and target systems.
Intake
Documents enter DocStream through any configured channel: email attachment monitoring (Gmail or Outlook API), a branded upload portal, or cloud storage sync (Amazon S3, SharePoint, or Google Drive folder watch). Multiple intake channels can run simultaneously — an invoice can arrive by email while a contract arrives via the upload portal; both are processed through the same pipeline. Supported formats: PDF (native and scanned), DOCX, XLSX, image files (JPG, PNG, TIFF).
Classify
Claude AI reads the document and determines: document type (invoice, contract, insurance claim, HR form, purchase order, loan application), sub-type where relevant (NDA vs. service agreement vs. employment contract), urgency classification if configured (routine, expedited, exception), and any configured priority flags (e.g., "invoices over $50,000" → escalated routing). Classification happens in seconds per document regardless of page count.
Extract
Claude extracts your defined field schema as structured JSON. For invoices: vendor name, invoice number, date, line items, amounts, tax, payment terms. For contracts: parties, effective date, termination rights, liability limits, payment terms, IP ownership, governing law. For insurance claims: claimant, policy number, incident date, damage description, coverage category. The extracted JSON is validated against your schema, confidence-scored, and flagged for human review if below your configured threshold.
Route
Based on document type and extracted fields, n8n routes the structured data to its destination: CRM record update, ERP line item creation, task assignment in your project management system, Slack notification to the responsible team, exception queue for human review, or direct email with the extracted summary attached. High-confidence extractions route automatically. Low-confidence or exception documents go to a human review queue with the document and extracted fields side-by-side for fast approval.
Document Types We Handle
DocStream is configured for your specific document types during implementation — the list below represents our pre-built extraction schemas. Custom document types are scoped and priced during discovery.
Why Not Just Use OCR?
Traditional OCR tools convert image pixels to text. They don't understand what they're reading. Claude does.
| Challenge | DocStream (Claude AI) | Traditional OCR |
|---|---|---|
| Handwritten annotations | ✓ Claude reads context to interpret | ✗ Fails on non-standard handwriting |
| Unstructured layout (no fixed fields) | ✓ Semantic understanding, any layout | ✗ Requires template per document format |
| Context-dependent field extraction | ✓ Extracts "indemnification limit" regardless of phrasing | ✗ Keyword matching only — misses variations |
| Multi-page complex documents | ✓ Reads full document with 200k context | ~ Page-by-page, no cross-page reasoning |
| Document type classification | ✓ Classifies by understanding content | ✗ Requires pre-sorted input |
| New vendor / new format without re-training | ✓ No re-training needed | ✗ New template required per format |
Common Questions
Stop Paying People to Read Documents. Start Routing the Decisions.
DocStream processes any document format with 95%+ accuracy and routes the structured data where it needs to go — automatically, auditably, at scale.
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