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Document AI

Every field read. Every value verified.

Karven designs and ships document AI for European companies: intelligent document processing that extracts, classifies, and validates data from invoices, contracts, claims, and forms — with an audit trail behind every field.

What a document AI system does

Most companies handle thousands of documents a month — supplier invoices, signed contracts, claims, delivery notes, KYC files. Today, people read them, retype the numbers, and chase whatever is missing. A document AI system does that reading for you: it classifies each incoming document, extracts the fields that matter, and validates them against your business rules before anything touches your ERP or accounting system.

The difference between a demo and a production system is what happens when the model is unsure. We build confidence thresholds into every extraction: clean documents flow straight through, and anything ambiguous routes to a person with the source page highlighted. Your team reviews the exceptions — the system handles the volume.

Accuracy is measured, not promised. Before go-live, we test the system on a sample of your real documents and agree on the numbers together. One of our production systems processes more than 50,000 documents a month at 97% field-level accuracy.

Accuracy you can measure. Tested on your real documents before go-live.

Audit trail. Every field traces back to its source page.

Exception queues. People review the edge cases only.

Typically connects to

Email inboxesERP & accountingDMS / SharePointScanned PDFsExcel & CSV

How we build it

01

Document audit

We sample your real document flow — formats, languages, edge cases — and define the fields, validations, and target accuracy together.

02

Extraction pipeline

We build the classification and extraction pipeline, combining OCR, layout models, and language models, tuned to your document types.

03

Validation & routing

Business rules check every value. Clean documents post automatically; exceptions land in a review queue with full context.

04

Integration & go-live

The system writes into your ERP, DMS, or accounting tools, with monitoring and accuracy reporting from day one.

Where document AI pays for itself

Supplier invoice processing

Capture invoices from email and portals, extract line items and totals, match them to purchase orders, and post them to accounting with exceptions queued for review.

Contract data extraction

Pull parties, dates, renewal terms, and obligations out of signed contracts so legal and finance can search and report on them instead of rereading PDFs.

Claims and forms intake

Turn incoming claims, applications, and KYC files into structured records, validated and routed to the right team within minutes.

Order and delivery documents

Read purchase orders, delivery notes, and customs paperwork as they arrive, and reconcile them against your ERP automatically.

FAQ

Document AI, answered

What accuracy can we expect from document AI?

It depends on your document quality and types, which is why we measure it on your real documents before go-live. As a reference point, one of our production systems runs at 97% field-level accuracy across 50,000+ documents a month. The validation layer catches the remainder and routes it to a person.

Can it handle scanned and handwritten documents?

Scanned PDFs, photos, and mixed-quality files are the normal case, and modern layout models read them well. Handwriting is assessed during the audit — for most business documents, key handwritten fields can be extracted with a review step.

How does it connect to our ERP or accounting system?

Through your existing interfaces — APIs, file exports, or RPA where nothing else exists. We have shipped integrations with ERPs, accounting suites, and custom internal tools alike.

Where is our data processed?

In your cloud environment or in EU data centres, under a data processing agreement. Documents stay under your control end to end — we design for GDPR from the architecture up.

See what your documents could do on their own

Book a discovery call and bring a sample document. We'll tell you what a system would extract, how accurate it would be, and what it would take to build.

Book a Discovery Call