Capabilities

Depth across the Financial Crime decision chain.

FCRisk is strongest where the problem spans multiple hand-offs — for example customer understanding, risk rating, monitoring, investigation, QA, escalation, data, provider dependency or AI readiness.

Customer Risk Assessment

Risk-factor selection, scoring logic, use of source data, refresh triggers and linkage to downstream controls.

KYC, CDD, EDD, UBO & PEP

Customer understanding, beneficial ownership, domestic and international PEP treatment and ongoing due diligence architecture.

Correspondent Banking

High-complexity customer-risk review, KYC/UBO, TM, investigation and remediation context.

Transaction Monitoring

Monitoring design, alert coverage, data dependencies, scenario thinking and quality of generated outcomes.

Investigations, QA & Escalation

Case review, QA gates, second-stage challenge, closure criteria and MLRO escalation architecture.

Financial Crime Data & Controls

Completeness, correctness, exceptions, control evidence and the practical reality of decision-useful data.

Sanctions & Screening

Workflow, list quality, match handling and the wider operating-model dependencies that sit behind effective screening.

Cryptocurrency & Digital-Asset AML

Review of AML approach to crypto exposures, related providers, typologies and the strengthening of coverage lists and risk treatment.

Technology, Analytics & AI

Implementation readiness, buyer expectations, data-quality prerequisites, safe practical adoption and AI governance.

Fraud & AI-Enabled Threats

Awareness of how deepfakes, synthetic identity, mule recruitment and other AI-amplified threats interact with Financial Crime defence.

Governance, Remediation & Assurance

Decision rights, programme assurance, workstream governance, audit/regulatory response and defensible closure.

Provider Bank-Readiness

Independent bank-side challenge for Financial Crime technology, data and AI propositions that need to stand up inside regulated institutions.

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End-to-End Financial Crime Decision Chain

The proposition is designed around the whole flow — not one silo. This matters because many client problems are caused by breaks at the joins rather than within a single team.

End-to-End Financial Crime Decision Chain
End-to-End Financial Crime Decision Chain
KnowCustomer profile, ownership, UBOs, PEPs and activity.
AssessRisk factors, weighting and refresh logic.
MonitorTransactions, scenarios, screening and alert generation.
ReviewCoverage, quality and appropriateness of outcomes.
InvestigateCase handling and first-stage analysis.
ChallengeQA, secondary review and escalation discipline.
DecideResidual cases reach the right decision-maker.
Practical positioning

This is not a narrow product proposition.

FCRisk can credibly support diagnostics, senior challenge, transformation, remediation and defined workstream leadership because the underlying experience is not only conceptual. It includes organising teams, shaping operating models and governing the quality of actual case outcomes.