Life, annuity, and benefits (L/A/B) executives are prioritizing architecture groundwork over new technology deployment. Carriers with fragmented architecture ownership should expect AI governance to stall. One large carrier cut a projected mainframe migration from more than US$50 million to under US$2 million with automated code-modernization tooling.
Datos Insights advisors see large carriers treating enterprise architecture redesign as a prerequisite for AI governance, not a parallel workstream. Carriers that model only token spend underestimate total AI investment. One professional services firm’s carrier survey estimated token costs account for only 10% to 20% of total AI project cost.
This report sets out eight actions for carriers, from sequencing architecture before AI scale-up to evaluating TPA outsourcing for legacy blocks. Full life cycle cost modeling, for example, will produce more defensible budget requests and fewer downstream surprises.
Clients of Datos Insights’ Life, Annuities, & Benefits practice can download this report.
About the Author
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...
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Steven Kaye
Steven Kaye is Head of Knowledge Management at Datos Insights, and lead editor of the firm’s Business and Technology Trends in Insurance series. He has managed a wide range of research projects since joining the firm in 2008. Previously, Steven worked for Accenture as an insurance researcher focused on the U.S. life and property/casualty markets. He also served in both knowledge management...