KYC & CUSTOMER DUE DILIGENCE
Define identification, risk assessment and periodic review processes around customer risk.
Build an AML operating system that connects KYC, screening, transaction monitoring, case management and regulatory evidence into one traceable control architecture.
An alert is not a finding. It is the start of an investigation. Connect risk signals, scenarios, escalation and regulatory action so every alert follows a clear, defensible path.
Define identification, risk assessment and periodic review processes around customer risk.
Structure screening rules, escalation logic and evidence around sanctions and PEP exposure.
Design scenarios, thresholds and controls that detect behaviour requiring investigation.
Move alerts through a traceable process from analyst review to escalation and regulatory filing.
Measure alert quality, false-positive rates, investigation flow and control effectiveness.
Use governed AI agents within defined roles, rules and authorised systems to support screening, investigation and monitoring, with validation, escalation and human review.
We assess existing AML policies, scenarios, data, controls and investigation workflows.
We define scenarios, thresholds, escalation logic and the control architecture around the business model.
We connect AML rules and workflows to systems, data and operational responsibilities.
We calibrate scenarios, review outcomes and improve control effectiveness where evidence supports change.
Policies, controls and evidence operate within one auditable architecture.
Scenarios and thresholds are calibrated around actual risk and operational outcomes.
Alerts move through defined review, escalation and decision paths.
Management can see how risk events, investigations and control effectiveness connect.
If you can detect the alert but cannot trace the decision, the control is incomplete.
Where customer risk, transaction monitoring and regulatory expectations require a consistent control model.
Where KYC, sanctions screening and transaction monitoring must scale with high-volume onboarding and servicing.
Where AML controls need to operate consistently across customer onboarding, transactions and regulatory obligations.
Build one AML architecture around policy, scenarios, investigations, evidence and regulatory action.