AIA Singapore

Enterprise GenAI maturity, where are you? Most companies think they're a 4. They're usually a 2. Here's the maturity model (be honest with yourself): Level 1: Ad-hoc: Individual experimentation, no standards, shadow AI everywhere Level 2: Repeatable: Standardized tools, basic policy, 2-3 pilots Level 3: Defined: Formal processes, CoE, shared components, 5-10 apps in production Level 4: Managed: Metrics-driven optimization, quality SLAs, 20+ apps Level 5: Optimizing: AI-first culture, autonomous improvement, industry leadership Quick self-assessment (10 questions on slide 4): - AI policy in place? - Systems inventoried? - CoE established? - Prompts version-controlled? - Quality metrics tracked? - Cost per outcome measured? - Adoption rates managed? - Shared components across teams? - Incident playbooks tested? - Leadership championing AI? 0-2 = Level 1 3-4 = Level 2 5-6 = Level 3 7-8 = Level 4 9-10 = Level 5 Average enterprise AI spend will hit $11.6M in 2026, up 65% from 2025. But only 29% see significant organizational ROI. The gap between spending and impact is a maturity gap. Swipe for: the 5-level maturity model, the 10-question self-assessment, how to build a Center of Excellence, the 3 operating models compared, the reusable component library that saves months, the culture question, and a scaling readiness checklist. This is the final pillar of the 8-part GenAI Enterprise Framework series. —— What's your score? #GenerativeAI #AIStrategy #DigitalTransformation #EnterpriseAI #FinancialServices #Banking #Insurance #Consulting #CenterOfExcellence