Regulatory automation that withstands regulator scrutiny.
AI and ML applied to KYC, AML, regulatory reporting and compliance analytics - with documentation robust enough for a JST visit.
Automation is only valuable if its decisions are defensible.
Regulatory automation fails when it cannot show its working. Our engagements prioritise explainability, model governance and full decision traceability - so automation genuinely reduces cost, not regulatory risk.
Before work begins, we clarify the operating context, governance expectations, and commercial pressures behind the brief. That gives the engagement a clear purpose before technical analysis starts.
The result is a more complete advisory view: what matters now, where risk may surface next, and how recommendations can be implemented without creating unnecessary hand-offs or ambiguity.
Scope
Clarify the decision, deadline, stakeholders, and evidence standard before work begins.
Delivery
Combine partner judgement, technical review, and practical implementation planning in one workstream.
Follow-through
Convert findings into owners, actions, and next steps that leadership can track after the session.
Customer onboarding
- Name screening & PEP matching
- Document and liveness checks
- Adverse media screening
- Ongoing monitoring triggers
Transaction monitoring
- Alerting and scoring models
- False-positive reduction
- Typology tuning
- Alert-to-SAR workflow automation
Reporting
- Suspicious activity draft-assist
- MI pack automation
- Regulatory-return pre-validation
- CbCR data assembly
Controls testing
- Controls testing at scale
- Outlier detection on postings
- Policy exception mining
- Thematic review support
“Our JST could query any transaction monitoring alert and trace it back to the inputs that triggered it. That is the only way this works at scale.”
Considering automation in your FC or compliance stack?
A six-week proof-of-value engagement delivers a tuned model on your own data, plus the documentation that proves it defensible.