AI document processing

Put the document to work. Skip the retyping.

Your team needs the information inside the attachment, in the right fields, ready for the next step. We build AI document processing workflows that extract agreed data, check it and prepare it for your systems. Uncertain values are shown beside their source so a reviewer can resolve them before the work moves on.

Discuss this workflow

What this could look like

Illustrative scenario, not a client case study

A supplier sends a purchase order as a PDF. The system extracts the agreed fields, checks required information and arithmetic, flags a possible duplicate, and prepares an import record. A reviewer sees uncertain values beside the original source. No payment or binding order is approved by the extraction step.

What you receive

Document sample review, field definitions and supported-format scope
Extraction workflow with validation rules and a review queue
Approved export or system integration, with source traceability
Accuracy tests by field and document type, plus a recovery runbook

How we measure whether it works

Measure field-level correctness, review effort, time per document and the percentage of documents that require manual handling. Test poor scans and unusual layouts, not only clean examples.

What to know before you start

Scan quality, handwriting, languages and layout variation affect results. We do not promise perfect extraction. This service covers document and text data preparation; predictive modelling or broad statistical data mining requires separate discovery.

Common questions

Can AI extract data from scanned PDFs?

Suitable OCR and document models can read many scans. We test your representative documents to understand limitations before agreeing on supported formats, fields and acceptable review effort.

Can the extracted data go into our CRM or spreadsheet?

Yes, where a supported import or API is available. We define field mapping, validation, duplicate handling and permissions before enabling any write to a production system.

Bring us one process worth improving.

Describe the work, the systems it touches and the result you want. We can explore fit before proposing a defined scope and fee. Do not include confidential records.

We agree on scope, acceptance tests and commercial terms before work begins. Implementation, third-party usage and ongoing support are itemized.