The verdict in three sentences
In 2026, generative-AI data extraction reaches a rate above 95 % on varied invoices and purchase orders, where classic OCR stalls as soon as the layout changes. For a Dublin finance director processing 2,000 invoices/month, the gain is -80 % keying time and fewer errors. The budget sits between 12,000 and 35,000 EUR ex. VAT, plus a per-document cost, with an ERP integration in 8 to 12 weeks.
Classic OCR versus generative AI
The difference is not cosmetic: AI understands a document's context, OCR merely reads zones.
| Criterion | Classic OCR | Generative AI |
|---|---|---|
| Extraction rate | 70-85 % | 95-98 % |
| Handling varied layouts | weak | strong |
| Unstructured fields | no | yes |
| Project cost (EUR ex. VAT) | 8,000 - 18,000 | 12,000 - 35,000 |
| Cost per document | 0.02 - 0.05 EUR | 0.03 - 0.12 EUR |
| Rules maintenance | heavy | light |
| Rollout lead time | 6-10 wks | 8-12 wks |
AI costs a little more per document but removes the permanent maintenance of rules and templates, the main hidden cost of OCR.
What extraction saves
The figures below apply to an accounting team processing 2,000 supplier invoices a month.
| Metric | Manual keying | AI extraction |
|---|---|---|
| Time/invoice | 4 min | 0.8 min |
| Hours/month | 133 h | 27 h |
| Monthly cost (35 EUR/h) | 4,655 EUR | 945 EUR |
| Keying error rate | 3-5 % | < 1 % |
| Processing delay | D+3 | D+0 |
| API cost/document | - | 0.03-0.12 EUR |
Extracted data must be validated by exception: only low-confidence documents go to human review, which preserves the time saving.
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Mini case study
Nadia is finance director of a trading SME in Dublin, 2,000 supplier invoices/month, keyed by hand in 4 minutes each, i.e. 133 hours/month at a loaded cost of 35 EUR/h, or 4,655 EUR/month. An AI extraction solution at 25,000 EUR ex. VAT plus 0.08 EUR/document (160 EUR/month) brings the time down to 27 hours/month, i.e. 945 EUR of labour plus 160 EUR of API: 1,105 EUR/month. Net gain: 3,550 EUR/month, or 42,600 EUR/year. The investment pays back in about 7 months.
FAQ
What extraction rate can I expect in 2026? On varied invoices and purchase orders, a well-tuned AI solution reaches 95 to 98 % correct fields. Classic OCR stays around 70 to 85 % as soon as the layout varies.
How much does processing one document cost? As a 2026 order of magnitude, budget 0.03 to 0.12 EUR per document with generative AI, versus 0.02 to 0.05 EUR with OCR. The difference is largely offset by lower maintenance.
Can it integrate with our ERP? Yes, it is the core of the project: extraction feeds the ERP (Sage, SAP, NetSuite...) directly via API or file. Budget 4,000 to 10,000 EUR for that integration depending on the ERP.
How long to production? Between 8 and 12 weeks, including scoping, training on your real templates and ERP integration. A pilot on one document type can start in 4 weeks.
Do I still need to validate documents? Yes, via exception validation: only low-confidence documents (often 5 to 10 %) go to human review. The rest is processed automatically, preserving the 80 % gain.
Let's scope your project. Give us your monthly volume, your document types and your target ERP: we cost a realistic extraction rate and ROI (often 6-9 months). 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.
