Benefits x AI: Solving for the Human Variable

In the last post (How Benefits Data Actually Moves), we learned about how benefits data actually moves. Plan design → configuration, configuration → eligibility logic,

In the last post (Benefits as a Strategy (How Plan Design and Behavior Create Outcomes)), we talked about benefits as strategy and where tradeoffs get

In the last post, we talked about what a benefit plan actually is. It’s not a product or a system, but a set of rules

In our last post (The Shift to Portability) , we talked about portability, how work became more mobile, and how benefits shifted to follow people

In the last post (The Mathematics of Security – How Underwriting Shaped the System) we talked about security – pensions, long-term promises, and a social

So far in this series, we’ve been tracing how “security” once felt – the loyalty, the long-term promises, the stability of an era where work

On the previous post, The Rise of the Modern Workforce – From Fringe Benefits to the Era of Security, explored how the postwar economy reshaped

Co-written with Opal Wagnac This one started in the comments of Post 3.5, The Rise of the Modern Workforce – From Fringe Benefits to the

Our last post, Where It All Began – How History Still Shapes the Systems We Use Today, explored how World War II introduced: Fringe benefits

If we’re going to talk about AI in benefits, I thought we start with understanding where benefits even came from.It may be to no one’s

Ever thought you understood the terrain and then realized you were stepping into something completely new?That’s exactly how I felt in this photo at Lake

I grew up on my grandfather’s farm in a small town called Molo, Kenya. Every day started before sunrise. There were chores in the morning