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NewxSuite
Typology Detection & Model Tuning
Typology Detection & Model Tuning
Map activity to FinCEN/FATF typologies, tune your monitoring rules, and generate examiner-ready model validation documentation.
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Typology Mapping
Paste transaction patterns or activity details. AI maps them to specific FinCEN/FATF typologies with confidence scoring and supporting reasoning.
Pattern → typology
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Rule Tuning Review
Paste your rule performance data — alert volumes, false positive rates, SAR conversion. AI recommends specific threshold adjustments with documented rationale.
Threshold optimization
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Model Validation Docs
Generate a complete model validation report covering conceptual soundness, performance testing, and ongoing monitoring — aligned to SR 11-7 expectations.
Examiner-ready
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Typology Mapping
Paste the activity pattern, transaction details, or alert summary below. The AI will map it to the most relevant FinCEN/FATF typology(ies) with a confidence score and supporting reasoning.
AI identifies the matching typology with confidence scoring
Typology Mapping Result
Full Analysis
Generating…
⚠ Final typology determinations and filing decisions must be made by a qualified BSA Officer.
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Rule Tuning Review
Paste your transaction monitoring rule performance data — alert volume, false positive rate, SAR conversion rate, current thresholds. The AI will recommend specific tuning adjustments.
AI recommends specific threshold changes with documented rationale
Rule Tuning Recommendations
Analysis & Recommendations
Generating…
⚠ Rule changes must be approved through your institution's model change management process before implementation.
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Model Validation Documentation
Provide details about your monitoring system or model. AI will generate a complete validation report aligned to SR 11-7 expectations, covering conceptual soundness, performance testing, and ongoing monitoring.
Complete SR 11-7 aligned validation report
Model Validation Report
Full Report
Generating…
⚠ This AI-generated draft must be completed by a qualified independent validator and reviewed by model risk governance before submission to examiners.