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Automated bank statement analysis
A tier-1 bank compared OCR and data-extraction vendors on synthetic commercial statements to cut underwriting turnaround and improve decision quality.
4 weeks
vs 12–18 months traditionally
The challenge
Commercial lending relied on manual data entry and document review. Relationship managers spent hours reconciling balances and validating cash flows, delaying approvals and limiting visibility into borrower health.
How it ran on NayaOne
1
Synthetic data evaluation
Vendors received synthetic commercial statements and financial reports to simulate real lending safely.
2
One-day vendor access
NDAs and sandbox onboarding completed within a day for instant technical setup.
3
Field-level benchmarking
Extraction accuracy, balance validation, cash-flow categorisation, speed and scalability compared side by side.
Outcomes
2 wks
to identify the most efficient OCR solution
Higher
analyst productivity and decision quality
Lower
underwriting time and manual error rate