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Article
Rethinking AI in Insurance: It’s Time We Asked the Right Question
The insurance industry is racing to adopt AI, but enthusiasm often outpaces purpose. Without clear objectives, poor data quality and siloed systems hinder success. True value lies in using AI to enhance integration, fix data, and drive strategic outcomes. Accountability must follow, ensuring AI decisions are ethical, explainable, and customer centric. The question remains: are insurers truly ready?
Apr 24, 2025
Thea Holland, Conference Producer, Center for Financial Professionals
Tags:
AI and Technology (including Fintech)
Insurance
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 adoption
in insurance is widespread but often lacks clear purpose
- Without
defined goals, implementation risks becoming superficial
- Poor data
quality and siloed departments undermine AI effectiveness
- Real impact
comes from using AI to fix data and integrate workflows across underwriting,
claims, and operations
- Responsibility
for AI decisions remains unclear, raising ethical concerns
- A new
accountability role may be needed
- Trust,
strategy alignment, and mindset shifts are crucial to realizing AI’s potential
in making insurance more resilient and customer-focused
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