Modern Money SmartPod

A handful of useful framings emerge - building blocks for AI enablement, the distinction between decision-support tools and full-automation tools, and the 'AI theater' observation - but the episode is padded with generic consulting language and the insights rarely go beyond what a moderately informed B2B operator would already know.

“there's a fair amount of organizations that are doing a lot of AI theater”

“when those things have been addressed, the return is very, very high. It's like 13 multiples of what it is on average”

'AI theater' is a memorable coinage and the historical framing of 50 years of AI in insurance adds mild texture, but the bulk of the advice - don't automate a bad process, focus on people, solve real business problems - recycles well-worn consulting wisdom without adding a genuinely fresh angle.

“there's a fair amount of organizations that are doing a lot of AI theater”

“don't automate a bad process. Well, AI makes that even more challenging”

Peter McMurtrie is a legitimate industry insider with long tenure in insurance consulting at a credible firm, but he is an advisor rather than an operator who has built and deployed AI at scale inside an insurer, which limits the depth of practitioner-level insight.

“Joining me for that conversation is Peter McMurtrie, a partner at West Monroe”

“I've been in the industry for a long time. I somehow I went from being a young upstart in the industry to being the sort of the old veteran”

The episode is almost entirely abstract; the only concrete data point is an unattributed '13 multiples' ROI figure, and regulatory specificity is limited to a single NAIC name-drop with no detail. No named insurers, no case studies, no dollar figures, and no specific AI tools are cited.

“the return is very, very high. It's like 13 multiples of what it is on average”

“by year end, I would expect to see NAIC and, you know, and others weighing in”

The host asks reasonably structured questions and makes a competent pivot from governance to ROI, but there is no pushback on the unsourced '13 multiples' claim, no probing of the vague 'AI theater' assertion, and the closing questions are explicitly set up as softballs.

“Well, that sounds like some pretty clear and concise advice”

“sounds like you kind of partially already answered that question”