Banking & FintechSpain · European Union
Spanish pagarés read, validated and posted to the ERP — 85% faster, 99.4% field accuracy
European fintech · Production document intelligence · 2–4 week sprints
- 85%
- cycle-time cut, scan to ERP
- < 8s
- per document versus 6 minutes manual
- 99.4%
- field-level accuracy with VLM + OCR
How the business benefits
Before vs. after Allometrik
Payback window · 5 weeks
Before
- Time per document6 min
- Straight-through postingManual
- Field errorsUnmeasured
After Allometrik
- Time per document< 8s
- Cycle time–85%
- Field accuracy99.4%
The challenge
- Pagarés arrived as scans and photos: handwriting, crossed signatures, bank stamps, degraded thermal paper, MICR/IBAN, vencimiento and legal clauses.
- A wrong amount, date or IBAN became a reconciliation break and collection risk.
The approach
- VLMs locate every field with bounding boxes; multi-stage OCR reads print, MICR and handwriting; cross-checks amount-in-words vs figures, IBAN checksums and date logic.
- Validated records post to ERP and CSV; exceptions land in a side-by-side review queue.
Visual system blueprint
How it actually runs
Importe · 99.8%Vencimiento · 99.6%Beneficiario & Letra · 99.4%Firma y Sello · 98.9%Validated ERP record · < 8s
- Importe
- 1.900,00 EUR
- Vencimiento
- 19 / 09 / 2020
- Beneficiario
- José López Lopez
- Firma y Sello
- Comercial, S.L. · OK
Posted · 7.4s · amount-in-words matches figures · signature present
Stack deployed
What it runs on
- Vision-language models
- Multi-stage OCR
- IBAN & legal validators
- ERP connectors
- Allometrik AI OS
More client stories
All case studies
Financial ServicesNorth America
10,000+complex documents processed daily
99.2% extraction accuracy across 10,000+ financial documents a day
Fortune 500 financial services company
Enterprise Reporting & BIEurope
Plain languageto board-ready PDF
Board-ready reports from one question in plain language
ReportAlly platform
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