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PilotFintech

Offshore Digital Bank — AI Onboarding + VIP Manager

KYC / AML automation for a Class A license

Offshore digital bank, Caribbean, Class A banking license

Problem

11 of 19 KYC scoring questions were being answered by hand. Seven HIGH-priority compliance alerts had been open for three weeks. Onboarding time was bleeding out, and relationship managers had no tool to prep VIP interactions.

Solution

Built a Scoring Engine on Claude for the 19-question onboarding model, an Alert Triage classifier that separates false_positive / needs_review / probable_match, document OCR, and an EDD Narrative generator. On top: a VIP Manager assistant with real-time prompts, meeting prep, follow-up automation and a regulatory knowledge base.

Impact

MVP processing real client data, scoped and signed.

  • Alert triage: 7 backlog alerts cleared in under a minute — vs three weeks of manual work
  • Scoring engine: 71% agreement with the bank on an 8-application test set
  • Five P0 compliance gaps closed (MFA, DPA jurisdiction, Certification)
  • LLM operating cost held between $50 and $260 per month

Stack

PythonFastAPIClaude APIPydanticPostgreSQL
#KYC-AML#banking#compliance#RAG

Client details are anonymised where disclosure was not authorised. Metrics are either directly measured or clearly marked as targets in the project log.

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