Third-party medical financing is reshaping liability claims by inflating medical costs, increasing settlement pressure and driving higher insurance expenses.
The property & casualty market is actively adopting AI as a decision-making force multiplier that surfaces critical insights from massive volumes of unstructured data, allowing claims professionals to reduce leakage and focus their expertise on high-value strategy and resolution.
While technology increasingly automates routine claims evaluation, the future of the profession relies on leadership actively upskilling existing teams in uniquely human, higher-order capabilities like AI literacy, negotiation science, data interpretation, and emotional influence.
The governance failures alleged in most major D&O liability claims—the board decided wrong—have acquired a nastier companion claim: the board couldn’t help itself.
Three structural threats — coverage cost-shifting, a narrowing wage-medical inflation gap, and rising labor market risk — may be poised to end workers’ comp’s decades-long winning streak.
Bringing pharmaceutical production home may improve resilience, but it also introduces a fresh set of risks that demand early attention from business leaders.
The biggest fraud threats today aren’t isolated incidents — they’re sophisticated networks designed to blend seamlessly into legitimate business operations.
AI in claims is no longer about insight alone — it’s about embedding intelligence into everyday workflows to drive faster decisions, stronger outcomes, and more human-centered care.
Companies face a growing array of unexpected risks triggered by volatile geopolitics — including war and its attendant supply chain shocks, tariffs, and cyberterrorism.
As AI reshapes the claims landscape, one executive explains how data-driven tools are enhancing — not replacing — the judgment and empathy that define exceptional claims handling.