If Prices Could Talk

The episode delivers solid tactical insights on go-to-market execution, RevOps, and AI adoption in consulting, with some actionable specifics (e.g., three KPIs: ASP, win rate, sales cycle length; bell curve time allocation in sales stages). However, it relies heavily on frameworks and concepts that circulate widely in B2B consulting (voice of customer, fundamentals over technology, value preservation in pricing), limiting novelty density. The discussion of AI governance (context engines, champions, governance structures) is useful but not deeply novel.

“If you're collecting the data correctly, so think about Revops job is starts at the front line of the sales reps. They should be getting you things like win loss data”

“the good ones, are spending most of their time in the understand my problem phase. Then it just kind of gets quicker after that”

The episode leans on established B2B principles: the empathy-based sales approach, voice of customer research, fundamentals-first mindset, and outcome-based pricing. While the framing of AI as complementary rather than replacement, and the 12% successful PE AI adoption stat, offer some fresh perspective, most core ideas (RevOps as measurement infrastructure, pricing as a strategic lever, customer-centric discovery) are well-trodden. The Garmin Watch/Fitbit analogy is cute but not particularly original.

“the job of the sales rep is. Is empathy and the ability to”

“the fundamentals of things like following a sales process, uh, knowing how to talk to a customer, all the fundamentals, uh, are true regardless of AI”

Dan Bernosky is a genuinely credible operator: he has founded and grown Cortado Group for 7.5 years with PE-backed portfolio companies as his core customer base, and he has deep product experience (GE, Nextel, mobile). He speaks from execution, not theory. Brian Doyle adds credibility as a pricing practitioner with hands-on engagement work. Both have lived experience in their domains. However, neither is a household name or shows the seniority of a Fortune 500 CXO or mega-fund partner, slightly limiting caliber.

“I founded Cortado Group seven and a half years ago. Now”

“started at uh, General Electric, then went to Nextel Communications, which is now part of T Mobile”

The episode includes some concrete specifics: the 12% AI adoption stat among PE firms, three KPIs (ASP, win rate, sales cycle length), mentions of Salesforce/HubSpot, references to MEDIC/BANT frameworks, and anecdotes about cost-plus erosion in consulting. However, the guest rarely cites named client wins, dollar figures, or detailed case metrics. The Caddyshack reference and therapist couch analogy are colorful but not evidence. Many claims about AI governance and fundamentals lack hard data or named examples.

“only about 12% of PE operating partners had stood up a working AI organization in their portfolio”

“So is the ASP going up? How's it trending? Is it going up, down? Um, the other one is win rate, obviously”

Emily and Brian ask reasonably sharp follow-up questions and push back gently (e.g., Brian's question on zombie funds pivots to pricing vs. go-to-market, Emily's follow-up on accuracy of win-loss data, Brian's probe on do-it-yourself AI). However, the hosts rarely create productive tension or challenge claims directly. Most follow-ups are elaborative rather than adversarial. There's no moment where the guest is genuinely pushed on contradictions or forced to defend a counterintuitive claim. The tone is collaborative and mutually affirming rather than interrogative.

“Well, you are, you just asked the multi billion dollar question”

“So do you want to talk about negotiation or AI Next?”