Underwriting

Many insurers lack a complete view of risk due to outdated, siloed systems that force underwriters to manually formulate risk analysis.

Insurance industry shifts to Underwriting 2.0 as data analytics reshape traditional risk assessment practices.

Agentic AI is emerging as insurance carriers' solution to operational underwriting constraints in a talent-starved market.

Observability transforms data and AI investments from opaque expenses into measurable drivers of business value.

Better data management could bridge the gap between insurance brokers and underwriters, driving industry-wide efficiency.

New behavioral science findings reveal how insurers can better assess mental health risks while reducing the stigma for applicants.

Could AI factories remove the need for insurers to have their own underwriting, policy administration, or claims processing units? 

AI is automating workflows, improving risk assessment, reducing claims costs, and accelerating decision-making.