Define what matters
Agree on document types, required fields, validation rules and representative samples.
DOCUMENTS → DATA
Document Intelligence.
Turn incoming business documents into structured data that can be checked and used by downstream systems. Treat uncertain extraction as a review task, not as trusted data.
WHERE IT FITSA practical use
A practical use
for intelligence.
Invoice and purchase-order intakeForms and supporting documentsOperational document classification
WHAT WE CAN BUILD
- Document and field schema
- Extraction and validation pipeline
- Confidence and exception-review process
- Output integration and audit trail
HOW IT COMES TOGETHER
Designed for the whole workflow.
Extract and validate
Read documents, normalise values and check consistency against business rules.
Route the exceptions
Send uncertain or inconsistent results to a reviewer before the information reaches downstream systems.
BEFORE YOU BEGINQuestions,
Questions,
answered.
Can every document be processed automatically?
No. Layout variation, poor scans and missing information create exceptions. The workflow should make those cases easy to review.
Can extracted data enter an ERP?
Yes, where an appropriate integration is available and authorised. Validation and duplicate handling should happen before records are created.