Finance & Banking · AI Automation
KYC Document Automation in FinTech: 73% Faster Processing
AI automation of identity and document verification at a payment institution — human-approval thresholds in the architecture, full audit trail.
Anonymised under NDA.
Problem
At a Türkiye-based payment institution, customer onboarding stalled at KYC document review: identity, address and company documents were checked by hand, queues grew on busy days, and corrections fed a second queue.
Approach
- A classification + OCR + field-extraction pipeline, every field produced with a confidence score.
- Confidence-threshold architecture: high-confidence documents flow automatically; anything below threshold drops to a human review queue — the automation rate raised with evidence, not optimism.
- Personal data handled masked at every layer; role-based access and a timestamped audit log throughout.
- A rules engine applied regulatory checks (validity, cross-consistency) as a separate layer above extraction.
Result
In the pilot measurement, average KYC processing time fell by 73%; the review team moved from routine reading to exception handling. What compliance valued most wasn’t speed but traceability: which document, which rule, whose approval — reportable in seconds.
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