Liv Bank · v3
AiRi Composite Score
Operationalized
- Strategy3.06
- Strategy3.06
Domain maturity radar
hover for insightGap-to-target (lowest first)
What it means
AI models are stable and monitored, but value attribution is still approximate. The CFO cannot isolate AI's basis-point contribution to efficiency ratio improvement from other operational changes. The portfolio is over-indexed on cost reduction (fraud, document automation) while revenue-generating AI — dynamic pricing, hyper-personalized cross-sell, predictive pre-approval — is underexplored. Governance is compliant but not competitive: it meets supervisory expectations but does not accelerate deployment speed.
Next steps
Build CFO-grade AI reporting: P&L attribution dashboards, A/B testing frameworks, and quarterly portfolio reviews with reallocation authority. Diversify toward revenue-generating AI: deposit pricing, relationship-based lending, predictive pre-approval, and AI-native product creation. Scale agentic AI for end-to-end workflows: loan origination, regulatory reporting, and customer onboarding. Benchmark against leaders: JPMorgan's $2B cost-neutral AI investment, DBS's $1B realized value.
Domain breakdown
| Domain | Maturity | vs. composite | Coverage | Weight |
|---|---|---|---|---|
| AI Strategy & Governance | 3.06 | +0.00 | 8/8 | 89.0 |
| Data & Foundation Architecture | N/A | — | 0/4 | 0.0 |
| AI Talent & Capability Building | N/A | — | 0/8 | 0.0 |
| Model Lifecycle & MLOps | N/A | — | 0/4 | 0.0 |
| Responsible AI & Ethics | N/A | — | 0/4 | 0.0 |
| AI Value Measurement & ROI | N/A | — | 0/8 | 0.0 |
| Change Management & Adoption | N/A | — | 0/8 | 0.0 |
| Enterprise AI Infrastructure | N/A | — | 0/4 | 0.0 |
| Customer Experience & Engagement | N/A | — | 0/8 | 0.0 |
| Payments Intelligence | N/A | — | 0/8 | 0.0 |
Sutherland recommendations
Solid strategic foundation. Board engaged. Focus on optimization and scaling.
Approach: Establish AI CoE with dedicated leadership and capability building