AI document intelligence turns unstructured files such as enquiries, purchase orders, invoices and delivery notes into structured data that can enter an ERP workflow. The objective is not simply OCR—it is controlled extraction tied to business rules.
Typical workflow
A user uploads a document. The system identifies the document type, extracts fields and line items, checks confidence and maps the result to clients, suppliers, projects or items. A human reviews uncertain fields before the transaction is created.
What AI can extract
Useful fields include document number, date, supplier or client, currency, tax information, delivery terms, line descriptions, quantities, unit rates and totals.
Why validation is essential
Documents contain inconsistent layouts, scans, stamps, handwritten notes and ambiguous descriptions. High-confidence automation still needs exception handling and a clear audit trail showing what was extracted and what was corrected.
Operational value
When document intake is connected to workflow, an enquiry can become a quotation opportunity, a client PO can open a project, and a supplier invoice can enter approval with less retyping.
Leave a Reply