As AI capabilities become commonplace, InsurTech providers must distinguish themselves through focused problems, explainable decisions and demonstrable business value.
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Insurance IT Modernization in the CFO’s Language
Separating run and build portfolios, modeling future costs and identifying systems for retirement can strengthen the business case for insurance technology investment.
What HIPAA Can Teach Carriers About AI Governance
AI regulation is evolving, but carriers can act now to control sensitive data, preserve human accountability and avoid costly retrofits.
AI Development Requires Old-School Discipline
AI can accelerate software development, but insurers still need rigorous governance, cost controls and technical disciplines to turn speed into lasting value.
Modernizing Income Verification in Life Underwriting
Automated employment and income data can help life insurers reduce applicant friction while improving underwriting speed, consistency and confidence.
Better Data Makes Better Claims Decisions
Claims modernization depends on secure, verifiable vehicle data that helps carriers improve payment accuracy, fraud detection, auditability and customer experience.
Move AI Decisioning to the Front Door
Carriers can gain more from AI by moving decision support upstream before low-fit submissions consume underwriting capacity.
Payments Are Insurance Modernization’s Missing Link
Money movement affects claims experience, partner ecosystems and operational efficiency, making payments infrastructure a foundation for insurance modernization.
How Insurers Should Use AI-Created Capacity
As AI automates routine work, insurers should redeploy capacity toward service, resilience, product innovation and workforce development.
Insurance AI’s Biggest Problem Isn’t the Model
As insurers move from AI pilots to agentic systems, trusted operational data will determine whether automation improves decisions or amplifies risk.