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Research
From Hype to Strategy: Making AI Work Across the Insurance Value Chain
As AI adoption accelerates in the insurance industry, many firms risk focusing too narrowly on underwriting and claims. True transformation lies in using AI across the full customer journey, supported by strong data governance, ethical design, and integration. Without clarity, strategy, and data readiness, insurers risk fragmented deployments that fall short of delivering the promised customer-centric experience.
Apr 30, 2025
Thea Holland, Conference Producer, Center for Financial Professionals
Tags:
Insurance
AI and Technology (including Fintech)
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- AI in insurance is advancing quickly, but deployment often centers on underwriting and claims, overlooking the broader customer journey
- Effective
transformation depends on ethical design, robust data governance, and
integrated systems
- Poor data
quality, lack of strategy, and competitive pressure risk misapplication
- Fragmented
pilots must give way to enterprise-wide, customer-focused AI built on scalable,
context-driven foundations that enhance, not replace, business capabilities
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