Fixing KYC: The Hardest Problem in Private Banking
At CFTE’s UK–Singapore Exchange, Jefferson Sun brought a practitioner’s perspective to one of the most persistent challenges in financial services:
KYC was never designed to scale.
A Broken Process
Drawing from his experience running a multi-family office, Jefferson highlighted key issues:
- multiple back-and-forth interactions
- inconsistent data quality
- subjective decision-making
- long onboarding timelines
In many cases, onboarding decisions take months —
by which time the opportunity is gone.
Building a KYC Co-Pilot
xBanker.ai developed a KYC co-pilot trained on:
- real bank policies
- hundreds of client cases
The system:
- performs analysis
- ensures consistency
- supports human decision-making
Crucially:
- humans remain in control
- all outputs are auditable
The Hardest Problem: Consistency
The most challenging aspect was not automation — but consistency.
Ensuring that:
- the same questions are asked
- the same risks are identified
- every time
This is particularly difficult in regulated environments.
The Impact
The result:
- faster onboarding
- reduced costs (~$2,500 per case)
- improved consistency
But more importantly:
- a more reliable process
The Takeaway
In regulated industries, scaling AI is not about speed alone.
It is about consistency, auditability, and trust.
And as Jefferson emphasised:
You cannot build meaningful AI in finance alone.
