AI & Machine Learning

Developers who automated other industries now face AI displacement themselves, as technical certifications prove less valuable than human judgment and accountability.

Insurance AI is shifting from the wow factor of innovation to the how factor of sustaining automation at scale.

Incumbents have operational context advantages AI-native startups can't replicate, but the window to leverage them is closing.

As carriers accelerate AI adoption, spreadsheet usage is rising rather than declining, exposing critical gaps in governance infrastructure.

Property carriers face a critical gap between AI vision and execution as they work to scale automation across claims workflows.

AI-driven appetite scoring can filter submissions, delivering efficiency gains in underwriting that exceed 30% across P&C lines.

Gen AI features are proliferating across insurance operations, but isolated tools create patchwork systems that fail to scale strategically.

AI deployment mandates real instrumentation in claims processing—and finally makes achievable what operations should have built decades ago.