What the Workflow Looks Like
Capture
Upload, email intake, scanner input, or API ingestion brings documents into a queue.
Extract
OCR and AI models identify fields, tables, dates, names, and classifications.
Validate
Business rules verify totals, formats, duplicates, and required fields.
Route
Approved items move to ERP, CRM, storage, review queue, or another downstream system.
Core System Components
- OCR or multimodal extraction for scanned or messy documents
- Document classification before field extraction
- Validation rules tied to your business logic
- Human review layer for low-confidence outputs
- Audit trail with extracted values and confidence scores
Best practice: treat document AI as a workflow system, not only an OCR feature.
Examples
Example: Accounts Payable
- Invoice arrives by email or upload
- System extracts vendor, invoice number, due date, and line items
- Validation checks totals and routes exceptions to finance review
Example: Customer Onboarding
- User uploads identity and registration documents
- System verifies fields, flags missing pages, and updates CRM records
- Staff reviews only incomplete or suspicious submissions
Common Mistakes
- Skipping validation and trusting extraction blindly
- No confidence threshold for human review
- Ignoring document variants from different vendors or formats
- Not storing structured audit logs for compliance-heavy processes
Need AI Document Automation?
We build document extraction and workflow systems that connect with your operations, approvals, CRMs, dashboards, and internal review queues.