The verdict in three sentences
Automating document extraction (invoices, delivery notes, contracts) costs in Amsterdam EUR 12,000-40,000 in 2026, delivered in 4 to 10 weeks, with a marginal cost of EUR 0.02-0.20 per document processed. The technology combines OCR and language models to read unstructured documents, reaching 90-98 % accuracy depending on scan quality and format variety. The result: -70 to -85 % data-entry time, an accounting team moving from re-keying to control, and ROI typically reached in under 6 months.
What AI extraction actually does
Unlike classic OCR that reads text at fixed positions, modern AI understands meaning: it identifies the invoice number, net amount, VAT, supplier, line items, even on templates it has never seen. Data is then validated and injected into your accounting tool.
| Line item | Scope | 2026 ballpark (EUR) |
|---|---|---|
| Scoping & doc typology | Format audit, business rules | 2,000 - 5,000 |
| Extraction pipeline | OCR + LLM, output schema | 4,000 - 12,000 |
| Control interface | Human validation, corrections | 2,500 - 8,000 |
| Accounting/ERP integration | Exact, Sage, AFAS, API | 3,000 - 12,000 |
| UAT & scaling | Real-volume testing | 1,500 - 6,000 |
| Project total | Full automation | 12,000 - 40,000 |
Cost per document depends on volume and control level: a fully automatic flow costs less than one with systematic human validation.
Accuracy and quantified gains
Accuracy is not uniform: a clean, standard document reaches 98 %, a crumpled or handwritten scan drops to 85-90 %. Good design keeps a human only on low-confidence cases.
| Document type | Avg accuracy 2026 | Cost/doc (EUR) | Time saved |
|---|---|---|---|
| Native PDF invoice | 96 - 98 % | 0.02 - 0.06 | -85 % |
| Clean scanned invoice | 92 - 96 % | 0.05 - 0.12 | -80 % |
| Delivery note | 90 - 95 % | 0.04 - 0.10 | -75 % |
| Multi-page contract | 88 - 94 % | 0.10 - 0.20 | -70 % |
| Handwritten document | 80 - 88 % | 0.12 - 0.20 | -60 % |
2026 rule: aim for a straight-through-processing (STP) rate of 70-80 % on clean documents, and focus human control on the remaining 20-30 %.
Mini case study
Marc, CFO of an industrial distribution SME in Amsterdam, processes 4,500 supplier invoices/month. Two accountants spend the equivalent of 1.5 FTE on entry, about EUR 4,800/month loaded cost. He invests EUR 26,000 in AI extraction integrated with his accounting suite, plus EUR 0.08/document (EUR 360/month).
With 80 % of invoices auto-validated, entry time drops 78 %. Labour savings are around EUR 3,700/month, before error and late-penalty reduction. After the EUR 360 variable cost, net gain is about EUR 3,340/month. The project pays back in roughly 8 months, and accountants move to control and collections.
Need a professional website?
Kolonell builds websites that attract clients, optimized for the Sénégalese market. Free quote in 2 minutes.
FAQ
What accuracy can I really expect?
Between 90 and 98 % on clean, standard documents. Degraded scans or handwriting drop to 80-88 %. A confidence-score mechanism automatically routes doubtful cases to a human.
Does it integrate with my accounting software?
Yes, via API or import files for Exact, Sage, AFAS, QuickBooks and most ERPs. Integration is 25-30 % of the budget and drives the real time savings.
How much does per-document processing cost?
From EUR 0.02 to 0.20 depending on document type and control level. A native PDF invoice costs a few cents; a multi-page contract or handwriting costs more.
Do I need a lot of data to start?
No. 2026 models are pre-trained and read unseen formats without prior training. A few dozen examples are enough to fine-tune specific business rules.
What happens to the accounting team?
It does not disappear: it moves from re-keying to control, reconciliation and collections. Most CFOs redeploy the saved time to higher-value tasks rather than cutting headcount.
Let's scope your project. Tell us your monthly document volume, formats and accounting software: we will price an extraction pipeline with an indicative budget and timeline. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
