AI/ML supports onboarding, fraud, underwriting, credit, claims, portfolio management, and personalization. Banking emphasizes risk scoring and fraud models; insurance emphasizes underwriting + claims adjudication; wealth emphasizes portfolio recommendation engines; fintech emphasizes growth optimization and experimentation.
Maturity Contrast
| Use Case | Banking | Insurance | Wealth | Fintech |
|---|---|---|---|---|
| Fraud | ✓✓✓ | ✓ | ✓ | ✓✓✓ |
| Credit/Underwriting | ✓✓✓ | ✓✓✓ | - | - |
| Claims | - | ✓✓✓ | - | - |
| Advisory | - | - | ✓✓✓ | ✓✓ |
| Growth | ✓ | - | - | ✓✓✓ |