Transaction monitoring and screening tools are only as good as their data, thresholds and matching logic. Regulators increasingly expect proof, not assurance, that these models work.
We validate your models independently: we trace data from source to system, test completeness, analyze thresholds above and below the line, measure the matching quality of name screening, and check that scenarios cover the risks in your enterprise-wide risk assessment.
Every recommendation is supported by evidence, and the validation pack doubles as model governance documentation.
Why it matters
Data lineage and completeness testing
Threshold and scenario tuning (above/below-the-line)
Screening match-quality testing
Model governance documentation
How the engagement runs
- 1DataLineage, completeness and quality testing
- 2CoverageScenarios mapped to your risk assessment
- 3PerformanceThreshold and matching-quality testing
- 4GovernValidation report and model documentation
What you receive
- Validation report
- Tuning recommendations with evidence
- Model inventory and governance pack
Questions
Do you need access to production data?
We work on extracts in your environment or a secure copy; data never leaves your control.
Can you tune the thresholds for us?
Yes. Validation includes evidence-based tuning recommendations, and we can support implementation.
