KYC
Secure, compliant digital customer onboarding with identity verification, liveness and periodic re-KYC.
AML
AML monitoring that finds risk, not just alerts
Anti-money-laundering transaction monitoring, alert triage and investigation tooling that reduces false positives.
The problem
Why this matters
Rules-based transaction monitoring generates large volumes of alerts, most of which are false positives. Investigation teams spend their time clearing noise while genuinely suspicious activity can be missed.
Common challenges
- High false-positive rates consuming investigator capacity
- Static thresholds that criminals learn to evade
- Fragmented customer and transaction data
- Documentation requirements for every alert disposition
Our approach
How we work
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Assess coverage
Map typologies and risks against existing scenarios.
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Tune scenarios
Calibrate thresholds with below-the-line testing.
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Prioritise alerts
Add explainable risk scoring to focus investigators.
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Support investigation
Provide entity resolution and network context.
Capabilities
What our aml work covers
- 01
Scenario design & tuning
Typology-driven scenarios with documented calibration.
- 02
Alert prioritisation
Explainable models that rank alerts by likely risk.
- 03
Entity resolution
Linking customers, accounts and counterparties across systems.
- 04
Network analytics
Graph analysis to expose mule networks and layering.
- 05
Sanctions & PEP screening
Screening logic and fuzzy-matching optimisation.
- 06
Investigation tooling
Case management with evidence and narrative support.
Engagement
Deliverables and benefits
What you receive
- AML coverage assessment
- Tuned scenarios with calibration documentation
- Alert prioritisation model and governance
- Investigation workflow design
What it changes
- Investigator time focused on higher-risk alerts
- Documented, defensible scenario calibration
- Better visibility of networked activity
Standards & technology
FAQ
Frequently asked questions
Can machine learning replace rules in AML?
In most programmes ML complements rather than replaces rules: scenarios provide regulatory coverage and explainability, while models prioritise and enrich alerts.
Discuss your aml requirements
Let’s discuss it. Tell us what you are working on and an engineer — not a sales script — will respond.