Production AI for KYC / KYB document classification, AML screening copilots, sanctions reasoning, and audit-ready model documentation — deployed in 4 to 8 weeks, with the audit trail your second-line and the FCA actually want to see.
Most fintechs have a working AI proof-of-concept and a compliance team that will not sign off on it. We close the gap.
Onboarding volumes 30% up quarter-on-quarter. KYC turnaround at 48 hours. Every additional analyst is a six-month decision and still not enough.
Off-the-shelf chatbots cannot be deployed against PEPs and adverse media without a model risk framework, technical documentation, and a way to prove non-hallucinating outputs.
High-risk classification under the EU AI Act, Consumer Duty for UK retail, MLD6 for AML, plus your own Permission… all needing a single coherent posture rather than four separate ones.
We build AI systems that pass second-line review and an FCA conduct visit, not AI demos that look good in a board pack.
A representative snapshot of a fintech KYC / AML build. Click tabs, switch languages — the product itself is multilingual by design.
| Ref | Subject | Juris. | Alert type | Score | Status |
|---|---|---|---|---|---|
| PEP-CHK-0421 | J. Smith | UK | PEP screening | 0.04 | clear |
| PEP-CHK-0420 | A. Müller | DE | Adverse media | 0.58 | review |
| PEP-CHK-0419 | M. Khan | GCC | PEP screening | 0.92 | PEP hit |
| PEP-CHK-0418 | S. Dubois | FR | Sanctions list | 0.02 | clear |
| TX-PATTERN-118 | Acct 9821 | FR/AE | Structuring pattern | 0.84 | review |
| PEP-CHK-0417 | L. Hassan | EG | Adverse media | 0.31 | review |
PEP-CHK-0419 · escalated to L22026-05-17 · +12 entitiesPEP-CHK-0420| Field | Value |
|---|---|
| Intended purpose | Classify ID documents · route to L1 if confidence < 90% |
| Intended users | Onboarding ops · L1 / L2 compliance analysts |
| Risk class | High-risk (Annex III) |
| Training data lineage | 42k synthetic IDs · 8 jurisdictions · bias audit Q4 2025 |
| Human oversight | Confidence < 90% routes to L1 · L2 sign-off mandatory on PEP hits |
| Post-market monitoring | Weekly eval suite · drift alerts · adverse-outcome log |
| Model lineage | v1.4.2 · promoted 14:42 UTC |
A 30-minute call. We will look at your actual workflow, your regulator, and your existing compliance posture — and tell you which AI use case to do first, and which to defer.
We are not a regulated entity. We deliver AI systems for clients who are. Our role is to build, document, and harden the system to meet your regulatory posture; the deployment and use sit with you.
Yes. We have worked under SS1/23 (PRA model risk), EBA guidelines, and home-grown MRMs. We deliver technical documentation in your preferred template.
Every engagement is scoped after a 30-minute discovery call and a workflow review with your second-line. We send a written, fixed-scope proposal — with timeline, model risk documentation included, and a transparent quote — within 5 working days.
Yes. We deploy in your AWS / GCP / Azure account or on Scaleway / OVHcloud, with our team operating against your environment under DPA. No data leaves your perimeter unless you authorise it.
Book a 30-minute call. We will scope a use case that delivers in weeks, not quarters — and that the FCA can audit.
Book a Free Call