Six weeks of research for this show turned up almost no company willing to put a specific, attributable number on its own AI results. Then one insurance broker did it six times in a single earnings call.

Willis Towers Watson's CEO and one of its presidents put a stopwatch on their own AI-assisted workflows and read the results out loud to analysts who could check them against last quarter's claims. That is a different kind of evidence than a vendor case study, and it changes the question this episode is really asking: is the applied-AI gap an adoption problem, or a disclosure problem?

In this episode, Stephen Forte covers:

• Scheduled insurance documents that once took four hours, now generated in about five minutes, via a platform called Willis Navigator, part of the firm's broader Neuron system.
• Real estate pre ...