The verdict in three sentences
An AI document-extraction system (OCR + LLM) that reads your supplier invoices and prepares entries costs in 2026 between EUR 15,000 and EUR 45,000, delivered in 6 to 10 weeks. Realistic accuracy sits around 92 to 98 % depending on document quality, which mandates a human check on uncertain cases. The main gain: cutting manual data-entry time by 4 to 8 times.
Budget and cost per document
The project covers ingesting formats (native PDF, scans, photos), extracting key fields (supplier, net amount, VAT, due date), reconciliation and export to the accounting tool.
| Item | 2026 order of magnitude | Type |
|---|---|---|
| Scoping + document taxonomy | EUR 3,000 - 7,000 | One-off |
| OCR pipeline + LLM extraction | EUR 7,000 - 20,000 | One-off |
| Accounting integration (Sage, DATEV, Pennylane) | EUR 4,000 - 12,000 | One-off |
| Validation queue + error handling | EUR 2,000 - 8,000 | One-off |
| Processing cost per document | EUR 0.03 - 0.15 / doc | Recurring |
| Monitoring + hosting | EUR 200 - 700 / month | Recurring |
Hours saved and ROI
Manual entry of one invoice takes 2 to 5 minutes depending on complexity. AI reduces the human gesture to a 20-40 second validation on only a fraction of documents.
| Monthly volume | Manual time before | Time after AI | Hours saved / month |
|---|---|---|---|
| 1,000 invoices | 58 h | 12 h | 46 h |
| 2,500 invoices | 145 h | 28 h | 117 h |
| 4,000 invoices | 233 h | 42 h | 191 h |
| 6,000 invoices | 350 h | 60 h | 290 h |
At a loaded cost of EUR 30 to 40/hour for an accountant in Berlin in 2026, 191 hours saved are worth about EUR 5,700 to 7,600/month.
Accuracy and error handling
96 % accuracy means 4 documents in 100 go to human review. The rule: automatically route to a validator any field with a low confidence score or a failed reconciliation. You do not chase 100 % automation; you concentrate humans on the hard 4-8 % of cases. A good system logs every decision for audit.
Mini case study
Mr. Weber's firm in Berlin handles 4,000 supplier invoices/month for its clients. It invests EUR 32,000 in an OCR + LLM pipeline. Result: 191 hours/month saved, about EUR 6,600 of loaded cost removed, minus EUR 550 of processing and monitoring. Net gain about EUR 6,050/month: the project pays back in just under 6 months.
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FAQ
What accuracy can you really reach?
Between 92 and 98 % on key fields depending on scan quality. Structured documents (EDI invoices, native PDFs) score higher than crumpled photos.
Should I drop all human control?
No. Good design keeps a human on the uncertain 4-8 % and on audit. The goal is to remove repetitive entry, not accounting responsibility.
How much does processing one document cost?
Between EUR 0.03 and 0.15 depending on length and page count. On 4,000 invoices it stays under EUR 600/month.
How does it connect to the accounting tool?
Via API or a normalized export to Sage, DATEV, Pennylane or QuickBooks. Integration is EUR 4,000 to 12,000 depending on the tool.
How long to production?
6 to 10 weeks: your document taxonomy and the number of formats to cover are the main drivers of the timeline.
Let's scope your project. Share your monthly invoice volume, formats and accounting software for a per-document estimate. 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.
