The insurance sector stands at a critical juncture in artificial intelligence adoption. Media portrayals and vendor hype are getting in the way of effective AI use: They treat all AI as interchangeable, resulting in undifferentiated adoption without fit assessment. These misperceptions lead to unrealistic expectations, poor strategic decisions, and implementation failures.

This report outlines three distinct AI paradigms: Predictive AI, which centers on data analysis for predictions; Generative AI, which specializes in content creation; and Agentic AI, which facilitates autonomous actions. It explains the Datos Insight’s DREAM AI framework, a systematic approach insurance executives can use to navigate the complexity of AI selection and implementation. It is based on Datos Insights’ ongoing research into AI applications in insurance. It draws upon conversations with carriers, solution providers, and industry experts about their experiences with predictive, generative and agentic AI.
Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.
About the Author
Eric Weisburg
Eric Weisburg is a Senior Principal at Datos Insights. His expertise lies in insurance technology, data, and analytics, and distribution, underwriting, and finance. Eric has over 20 years of LAB and P/C insurance industry, consulting, and IT experience. Prior to Datos Insights, Eric served as Managing Vice President of Strategic Initiatives at Tower Group Companies and VP at AIG, where he...
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Paul Mattern
Paul Mattern is a Senior Principal in the Insurance practice at Datos Insights. He has over 30 years’ experience working in insurance and financial technology. He has expertise in IT leadership, strategy, and transformation across multiple lines of business. These include insurance (life, annuities), retirement services (401(k), 403(b), 457, pension closeouts), and group voluntary benefits. Paul also has experience with...