| Modality / Layer | Governing Signals | Score / Margin | Alignment |
|---|
| Icon | Category | Standard Meaning & Behavioral Rules | UI Usage Locations | Action |
|---|
localStorage.AML_QC_ICON_REGISTRY_V1).
-1.1450 • Net Δ: +5.0015| Date/Time | Event / Mechanism | Counterparty / Terminal | Amount | Lag | Typology Tag |
|---|
Fund Movement Ledger
| Typology Anchor | Statutory Basis | Ledger Evidence | Confidence |
|---|
| Modality / Layer | Governing Signals | Score / Margin | Alignment |
|---|
| Horizon | Inflow | Outflow | Pass-Through % (outflow / inflow) |
|---|
| Window | Cash Sum | P2P Sum | Velocity |
|---|
| Post-Decision Event | Observed At | Change / Outcome | Knowable at T_decision | Attribution |
|---|
| Attribute Fact | Effective Value (T_decision) | Valid-Time Interval | System Record Time (T_assert) | Source System | Knowable at T_decision | Defect Attribution |
|---|
generate_rundates.py (and optionally
seed_demo_decisions.py for demo activity) before regenerating this cockpit.
| Rundate | #Alerts | #Cases | #SARs | #Closed (No Issues) | #Assigned | %Assigned | Sampling |
|---|
| Rundate | #Reviewed | #Unreviewed | %Unreviewed | #Unassigned | %Unassigned | D1 | D2 | D3 | D4 | D5 | D6 | Defect Rate |
|---|
| Rundate | #Returned | #Pending | %Pending | #Affirmed | #→SAR | #→Close | D1 | D2 | D3 | D4 | D5 | D6 |
|---|
| Analyst | #Assigned | #Reviewed | #Unreviewed | %Reviewed | D1 | D2 | D3 | D4 | D5 | D6 | Defect Rate | #Disputes Opened |
|---|
| Alert ID | Rundate ▾ | QC Specialist ▾ | Defect Code ▾ | Decision Date | FIU Status |
|---|
| Alert ID | Event | Timestamp | Rundate ▾ | Customer Type ▾ | KYC Risk ▾ | Actor ▾ | Action ▾ | Defect Code ▾ | QC Verdict ▾ | Agreement ▾ | Rationale |
|---|
[ ] Include Alert Data is unchecked and prompt does not mention the alert, responses remain strictly policy-level.
| Attribute | Baseline (Before) | Decision Value (T_decision) | Analyst Consideration | QC Audit Verdict |
|---|
| Lookback Window | Cash Deposit Sum ($) | P2P Transfer Sum ($) | Rapid Turnover Velocity |
|---|
| Typology Pattern | SHAP Attribution Score (0.0 to 1.0) | Decision Threshold | Status |
|---|
Offline Model Calibration, Capacity Simulation & SR 11-7 Model Risk Validation Gate
| Parameter | Champion | Challenger (50x) | Simulated | Delta |
|---|---|---|---|---|
| closed_alert_risk_min | 0.450 | 0.485 | 0.470 | +0.020 |
| acute_shap | 0.550 | 0.540 | 0.540 | -0.010 |
| over_escalation_struct_max | 0.450 | 0.420 | 0.420 | -0.030 |
| narrative_defect_word_count | 15 | 14 | 14 | -1 |
| narrative_defect_probability_max | 0.250 | 0.265 | 0.265 | +0.015 |
| evidence_omission_word_count | 24 | 22 | 22 | -2 |
| unsupported_conclusion_narrative_max | 0.350 | 0.340 | 0.340 | -0.010 |
| Scenario | Workload | Recall | Precision | FTE | Pareto |
|---|---|---|---|---|---|
| CFN 10x | 7.2% | 85.4% | 74.1% | 3.4 | OPTIMAL |
| CFN 25x | 8.6% | 89.8% | 71.5% | 4.0 | OPTIMAL |
| CFN 50x (Staged) | 9.8% | 93.4% | 68.2% | 4.6 | OPTIMAL |
| CFN 100x | 13.5% | 97.8% | 59.4% | 6.3 | OPTIMAL |
| Champion Baseline | 11.3% | 100.0% | 70.6% | 5.3 | BENCHMARK |
| Mandatory Decision Gate | Regulatory Target | Observed Value | Wilson 95% Confidence Interval | Status |
|---|---|---|---|---|
| GATE 1: Minimum Defect Recall Floor | ≥ 85.0% | 93.4% | [88.2%, 96.5%] | PASSED |
| GATE 2: Operational Workload Ceiling | ≤ 25.0% | 9.8% | — | PASSED |
| GATE 3: Precision Floor (Alert Fatigue Protection) | ≥ 30.0% | 68.2% | [61.4%, 74.3%] | PASSED |
| GATE 4: Chronological OOT Stability | Δ Recall ≤ 8.0% | Δ = 2.1% | In-Sample: 93.4% • OOT: 91.3% | PASSED |
Model LLM token cutoffs (64 - 1024 tokens) and truncation strategies (Head, Tail, Extractive) vs. defect recall retention and API cost economics
| Truncation Strategy | Token Cutoff | Avg Tokens / Alert | % Token Reduction | Monthly API Cost | Defect Recall | D2 (Evidence) | D3 (Conclusion) | Pareto Status |
|---|---|---|---|---|---|---|---|---|
| head (Recommended) | 64 tokens |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | ★ PARETO |
| tail | 64 tokens |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | OPTIMAL |
| extractive_typology | 64 tokens |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | OPTIMAL |
| head | 128 tokens |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | OPTIMAL |
| extractive_typology | 256 tokens |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | OPTIMAL |
| full_unconstrained | unconstrained |
17.1 | 0.0% | $0.26 | 100.0% | 0 | 0 | BASELINE |