AI behind the compliance desk, not in front of the customer
Onboarding, KYC, sanctions screening, periodic reviews. We automate the reading-and-summarising work so the human team makes the calls.
FinTech compliance workloads scale with customers, but compliance headcount doesn't. The fastest wins are in the document-reading layer: KYC summaries, source-of-funds reviews, and periodic refresh packs. AI prepares the file; the analyst decides.
The jobs we'd look at first.
KYC and onboarding summarisation
Structured summaries of customer-supplied documents, with a clear audit trail of what the model read and what it concluded.
Periodic review packs
Pre-built review packs at customer anniversaries, surfacing the changes that matter so analysts review exceptions, not whole files.
Sanctions and adverse media triage
First-pass classification of screening hits with the reasoning attached, so analysts spend their day on the genuine edge cases.
Internal policy Q&A
Grounded answers from your own policy library so first-line ops staff don't have to interrupt compliance for a citation.
The projects we'd turn down.
Worth being explicit. These are the asks we'd say no to in this sector — and saying no is part of the work.
We would not automate the final approve/decline decision on a customer. The model prepares the file; a human decides.
We would not pretend a model removes regulatory liability. Every output is reviewable, logged, and clearly attributable to a person.
We would not bolt AI on top of broken process. If the workflow is broken before automation, it is broken after — only faster and more confidently wrong.
A first call, no slides.
Tell us the workflow. We'll tell you, plainly, whether it's worth a Diagnostic and what we'd expect to find.