Executive summary

Moving beyond vague industry buzzwords, this paper provides a methodical framework for AI adoption in insurance. It introduces the Value-Risk-Learn (VRL) model to balance the benefits of adoption against the structural risks of inaction. By deconstructing human tasks into a Cognitive Task Ontology, the paper outlines how to move from "retrofitting" AI into old processes to "restructuring" workflows for true human-AI collaboration.