From Data to Compliance Insight
Compliance analysis requires more than checking numbers. It requires understanding patterns — transaction concentration, materiality thresholds, cross-category risk indicators, and regulatory alignment.
Prefiler's compliance intelligence engine analyses structured financial data to surface risks that manual review frequently misses. The scoring is deterministic. The output is reproducible. The professional retains full decision authority.
Deterministic Risk Scoring
Risk scores are computed through a rule-based, materiality-weighted framework. No probabilistic inference. No black-box models. Identical input data produces identical output, every time.
The scoring framework evaluates transaction patterns, concentration ratios, regulatory thresholds, and cross-category signal alignment. Materiality weighting scales non-linearly with effective turnover.
Intelligence Capabilities
- • Materiality-weighted risk scoring
- • Multi-signal escalation logic
- • Cross-category pattern identification
- • Regulatory threshold monitoring
- • Structured flag generation with severity classification
- • AI-assisted narrative summaries (architecturally separated from scoring)
Version-Governed Framework
The scoring methodology is version-controlled. Changes to scoring logic are documented, calibrated, and tested before deployment. This ensures consistency across analyses conducted at different times.
Each analysis output includes the framework version used, enabling full traceability and comparison across periods.