Leadership

Regulators aren't asking if your AI works—they're asking which named human was accountable when it didn't. If there isn't one, the person on the hook may be you.

The way forward is going to require both an operating model and a technology foundation redesign and redefinition. 

As insurance M&A passes $12 billion just this year, post-merger execution and data standards prove more critical than the deal rationale.

Operational challenges often become rationalized clutter; reframing them through expertise rather than experience unlocks breakthrough solutions.

When performance outpaces achievement, high-achieving women recalibrate. That's a problem for all of us.

Large insurance distributors are poised to acquire carriers as AI and private equity remove traditional barriers.

Banks lost customers' trust one automated interaction at a time. Insurers are making the same mistakes. 

The insurance industry's trust frameworks miss how algorithmic failures cascade across AI, human stewards, and systemic legitimacy.