AI & Machine Learning

95% of enterprise AI projects fail to translate massive investment into business value. Here are five strategies and five guidelines that can help.

Insurtech providers are building automation, APIs and data analytics into workflows to help agencies work smarter.

AI reshapes insurance's visible architecture, but core human functions of representation, translation, and defense endure.

P&C insurers are embracing AI despite regulatory headwinds, potentially letting the technology blast through the intermediate stages of the Gartner Hype Cycle timeline.

Life insurers can replace generic quotes with AI-powered personalized proposals that address individual customer circumstances and needs.

Insurers are abandoning legacy project structures for product-aligned operating models that enable enterprise-scale transformation using AI.

Agentic AI embedded in modern architectures enables insurers to converse with core systems as naturally as people talk to each other.

Trust, not technology, blocks AI adoption as insurance underwriters hesitate to rely on automated scoring and claims managers are reluctant to influence decisions.