Use AI to extract candidate fields, then validate types, business rules, and uncertain values before they enter core records.
- document automation
- intelligent document processing
- AI data extraction
- human validation
Start with a narrow document type
Choose a frequent document with a manageable set of fields and known exceptions. Define acceptable formats and what should happen when a required field is absent.
AI & AutomationAI & Automation
Thoughtful decisions compound over time.
Practical product work brings technical choices back to the people and workflows they are meant to serve.
Validate the result deterministically
Check dates, totals, identifiers, and relationships with ordinary application rules. Keep the original source and extracted values available to a reviewer when confidence or validation is insufficient.
Measure effort saved and errors introduced
Track processing time, correction rate, and downstream exceptions rather than counting documents alone. A pilot can establish whether automation improves the real end-to-end process.
Practical application
For invoices, extract supplier, date, reference, tax, and total as candidate values. Validate totals against line items and tax rules, keep page-level source references, and send mismatches to an accounts reviewer rather than posting them automatically.
