AI ROI Is Not Rare. Disclosure Is.

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 premium allocations that used to take two to four weeks, now completed in minutes once the paperwork is in.
• Rewards AI more than doubling its client-user count in a single quarter, a claim that arrives with last quarter's number attached so it can be checked.
• Call-center wrap-up time down a third, automated document review cutting new-client system configuration time by sixty percent, and the one nobody would have volunteered: retirement actuarial evaluation in Europe compressed by only about ten percent.
• Why the smallest number is the one that makes the other five believable, and why a public earnings call is written not to get caught, unlike a press release written to sound impressive.
• An invented but familiar scenario, a mid-size instrumentation maker in Singapore, for the AI results that exist inside thousands of private companies and have simply never been said out loud.

A note on vintage: the WTW call happened around July 30, roughly three weeks before this episode aired. That gap is disclosed on air rather than hidden, and it becomes part of the argument.

Sources:

• Willis Towers Watson Q2 2026 earnings call transcript, held ~2026-07-30. Carl Hess (CEO) and Julie Gebauer (President, Health, Wealth & Career), via The Motley Fool (posted 2026-08-03) and Investing.com, cross-verified.
• NBER Working Paper 34836, "Firm Data on AI," referenced for contrast with s1e129's survey-based measurement approach.

The AI Brief from the YPO Technology Network is a daily executive briefing on the AI developments that matter to business leaders. Hosted by Stephen Forte.