Invoices, purchase orders, delivery notes, contracts, reports, forms, scanned documents, and other business records. The final scope is confirmed using representative samples.

Yes. OCR reads text. This also classifies the document, extracts defined fields, applies validation rules, matches information with other records, and prepares structured output for business systems.

Through available APIs, connectors, or exchange files, subject to technical compatibility and access.

It depends on document type, layout, image quality, language, required fields, and validation rules. Targets are agreed and tested during the pilot.

Arabic, bilingual, scanned, and handwritten documents are validated using representative samples before performance targets are approved.

Required-field and format checks, confidence and validation status, duplicate and mismatch rules, exception and review queues, and human approval where required.

User access and operational ownership are defined, audit history is available where supported, and storage, retention, deletion, hosting, and data location are agreed before launch.

Select one frequent document process, provide representative samples, define the required fields and validation rules, then test against agreed acceptance criteria.