Coverage cannot be proved
The organisation cannot demonstrate that all expected transactions, customers or records reach the control environment.
Service 02 · Financial crime · DQIntegrity
Financial Crime Data and Control Integrity Diagnostic
Can you prove the data behind financial-crime decisions is complete and correct?
A specialist diagnostic for transaction monitoring, sanctions screening, KYC/CDD and remediation environments where decision-critical data must be complete, correct, timely, understood and controlled.
Delivered through DQIntegrity, the service tests the end-to-end journey from expected source population through ingestion, transformation and decision tooling to exceptions, ownership and control evidence.
Principal-ledDirect access to senior judgement.
Clearly scopedDefined questions, outputs and boundaries.
Evidence-basedFindings distinguish evidence, judgement and assumptions.
No automatic follow-onFurther work is separately agreed.
Why this matters
Data can fail quietly while the control appears stable.
A monitoring, screening or KYC capability can process every record it receives and still be ineffective if expected records never arrive, critical fields are distorted, transformations are uncontrolled or exceptions remain unresolved. Aggregate reporting can hide the failure rather than prove integrity.
Reconciliation is too weak
Controls rely on aggregate counts, incomplete populations or checks that do not reconcile value and record-level exceptions.
Mappings are uncertain
Critical fields, transformations, filters or exclusions are not sufficiently understood or evidenced.
Ownership is fragmented
Data owners, processors, consumers, control owners and exception owners are not aligned.
Issues are detected late
Material data failures emerge through investigations, audit or regulatory review rather than preventive control.
Change is approaching
A platform migration, remediation, AI use case or go-live requires defensible data-readiness evidence.
Questions answered
The review is organised around decisions—not generic assessment.
The exact questions are refined during scoping, but the service is designed to provide a clear basis for senior action.
What population of transactions, customers or records is expected?
Did the full population reach the relevant control completely and on time?
Are critical fields correct after mapping, enrichment and transformation?
Are exclusions, rejects, duplicates and dropped records visible and governed?
Can exceptions be owned, resolved, escalated and evidenced?
Can senior stakeholders rely on the monitoring, screening or KYC outcome?
Scope
A complete view of the operating environment.
The assessment connects business purpose, risk, data, controls, technology, operations and delivery rather than examining one component in isolation.
Expected populations and requirements
Define what the control must receive, at what level of granularity and with which critical attributes.
Source-to-target integrity
Trace source systems, data platforms, transformations, interfaces, filters and decision tooling.
Correctness and reconciliation
Assess count and value reconciliation, mapping, uniqueness, duplicates, formats, nulls and critical-field rules.
Ownership, exceptions and evidence
Clarify data and control ownership, thresholds, escalation, remediation, reporting and audit evidence.
NFRisk approach
A disciplined path from evidence to decision.
The service is tailored to the mandate while following a consistent senior advisory method.
Define
Agree the intended control outcome, expected populations and critical data requirements.
Trace
Map the end-to-end data journey, transformations, hand-offs and ownership.
Test
Challenge completeness, correctness, timeliness, reconciliation and exception controls.
Assess
Evaluate control design, execution, evidence, accountability and sustainability.
Prioritise
Set immediate actions, remediation priorities and a defensible target-state roadmap.
Typical outputs
Work products designed to support action and accountability.
Outputs are scaled to the decision and can be used by executives, programme teams, control owners and delivery partners.
Critical data-flow map
A clear source-to-decision view of systems, transformations, controls and hand-offs.
Expected-population definition
The records, values and critical fields the control is required to receive.
Integrity-risk assessment
Completeness, correctness, timeliness and traceability risks by stage.
Control-gap analysis
Missing, weak, duplicated or insufficiently evidenced controls and ownership.
Reconciliation and evidence design
Practical control and reporting requirements for sustainable assurance.
Remediation roadmap
Prioritised actions, dependencies, accountabilities and executive findings.
Relevant experience
Evidence across complete transformation lifecycles.
NFRisk is principal-led and grounded in prior personal experience across global banking, payments, financial crime, data and operational resilience.
Global TM data strategy and controls
Led transaction-monitoring data strategy and control strengthening across approximately 30 jurisdictions and 38 legal entities.
Financial-crime remediation
Connected data sourcing, analytics, investigation workflows, quality assurance, risk assessment and SAR decision support across a major multi-location remediation environment.
KYC/UBO continuous controls
Defined business, data and control requirements for beneficial-ownership governance, lineage and a proof of concept for more continuous, data-driven checks.
Case evidence is anonymised. Employer and programme references describe prior personal experience and do not imply endorsement of Resolvo Advisory, NFRisk or DQIntegrity.
Engagement structure
Clear responsibility from scope to executive readout.
The mandate is explicit about questions, evidence, client inputs, outputs, boundaries and the decision at completion.
Focused diagnostic
A contained assessment of a defined control environment or material data journey.
Framework design
Requirements, controls, ownership, exception governance and evidence architecture.
Pre-go-live assurance
Independent challenge before migration, platform implementation or control acceptance.
Remediation assurance
Periodic or retained oversight where data integrity is a critical dependency.
Related NFRisk services
Where the mandate requires a connected intervention.
Each service can stand alone. Related work is recommended only where it is justified by the evidence and separately agreed.
Next step
A material decision should begin with a clear mandate.
An initial confidential discussion establishes the context, urgency and potential fit. Substantive diagnosis, workshops and advisory work are then separately scoped.