// VERTEX AGILITY · AI HEALTH SCAN
Loan Default Risk v3
Scan date 2026-08-07 · reference 8,000 rows vs current 6,500 rows
Overall status: RED
Headline
- 2 of 7 features show material drift, led by 'region' (PSI 1.54).
- The model's own output distribution has shifted (PSI 2.03); average score moved 0.25 to 0.41. This is an early warning even before labels arrive.
- Data-quality: 'employment_years' missingness rose 0% to 7%.
- Governance readiness is 2/5; the evidence a risk function would ask for is incomplete.
Scorecard
Data quality
RED
2 issue(s)
Input drift
RED
2 red / 0 amber
Governance
RED
2/5 controls
Input drift by feature
| Feature | Type | PSI |
KS | Wass./JS | Status |
| region | categorical | 1.536 | - | 0.047 | RED |
| dti_ratio | numeric | 0.298 | 0.22 | 0.426 | RED |
| annual_income | numeric | 0.100 | 0.13 | 0.198 | GREEN |
| loan_amount | numeric | 0.085 | 0.12 | 0.301 | GREEN |
| channel | categorical | 0.070 | - | 0.009 | GREEN |
| age | numeric | 0.040 | 0.09 | 0.141 | GREEN |
| employment_years | numeric | 0.003 | 0.01 | 0.009 | GREEN |
PSI convention: <0.10 stable, 0.10–0.25 moderate, >0.25 material. KS for numeric features; JS divergence shown for categoricals.
Data quality
- ● 'employment_years' missingness rose 0% to 7%.
- ● 'region': unseen category ['NE-online'] (12.9% of rows).
Distribution shift
Governance readiness RED
- ✓ Predictions and features are logged in production
- ✓ A reference / training baseline is retained
- ✗ A model card or documentation exists
- ✗ Evaluation history is kept
- ✗ Automated alerting is wired up
What this means and what we recommend
Material issues are present that are unlikely to be visible on your current dashboards. We recommend a full Assurance Audit to instrument monitoring properly, confirm whether the drift is affecting decisions, and set an SLA baseline.