『Ep. 142 – Measuring AI ROI and Turning Adoption into Business Outcomes with Denis Scott - Part 2』のカバーアート

Ep. 142 – Measuring AI ROI and Turning Adoption into Business Outcomes with Denis Scott - Part 2

Ep. 142 – Measuring AI ROI and Turning Adoption into Business Outcomes with Denis Scott - Part 2

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General Episode Description:In Part 2 of this conversation, Denis Scott continues the discussion by exploring what AI accountability looks like inside boardrooms, executive teams, and private equity backed organizations. He explains why leaders must move beyond tracking AI adoption and begin measuring how AI investments contribute to business performance, operational efficiency, and long term enterprise value.The conversation also examines what separates AI mature organizations from those still experimenting with adoption. Denis shares why AI fluency is becoming a competitive advantage, how organizations can build stronger measurement frameworks, and why the future belongs to companies that combine human judgment with AI driven execution.What You’ll Learn:What boards expect to see when evaluating AI investmentWhy AI measurement is becoming essential during due diligence and company exitsHow AI maturity differs from simple AI adoptionWhy AI fluency creates stronger business outcomesHow marketing leaders can measure AI performance inside their teamsPractical ways organizations can improve AI adoption across departmentsWhy adaptability is becoming one of the most valuable leadership skillsHow to balance AI efficiency with human creativity and decision makingKey Topics:AI governanceAI measurementPrivate equity and AIBoard reportingAI fluencyEnterprise AI strategyMarketing leadershipBusiness outcomesAI adoptionOrganizational changeAI ROIExecutive leadershipGuest Spotlight: Denis ScottDenis Scott is the Chief Marketing Officer at Laradin, an AI execution intelligence company focused on helping organizations measure AI adoption, productivity, and business impact. Prior to Laradin, Denis held senior marketing leadership roles at OpenTable, Lyft, SurveyMonkey, Fanatics Betting and Gaming, CharterUp, and other leading technology companies, where he built data driven marketing organizations and enterprise growth strategies.Resources & Mentions:LaradinAI execution intelligenceAI fluencyAI ROIEnterprise AI measurementPrivate equity advisory🎧 Listen now and follow Selling Intelligence for more conversations with today’s leading revenue executives, AI innovators, and GTM leaders. Subscribe wherever you get your podcasts.Mark Petruzzi (00:00)Welcome back to Selling Intelligence. I'm Mark Petruzzi.Alan Rudolph (00:03)And I'm Alan Rudolph. This is part two with Dennis Scott, CMO of Laradin. Be sure to go back and listen to part one fascinating discussion. this broad, you know, where are we today in this in this AI world? But if you want to start here, let's bring you up to speed. Dennis Scott spent over 20 years in marketing at firms like Open Table and Lyft, SurveyMonkey, Fanatics, Betting, and Gaming before becoming CMO of Charter Up. In partOne, he told us what brought him into Laradin, an AI execution intelligence company built to answer the question most enterprises cannot answer today. Is the AI spend actually working? He walked us through why 72% of enterprises call AI adoption their biggest challenge. I mean, just fascinating data. And how does Laradin Scott platform reveal when companies finally see their ownAI usage data.Mark Petruzzi (00:59)So in part two, we get into the boardroom where we love to be. What this means for private equity bac pr private equity backed companies staring down an exit, and what it actually looks like on the other side once an organization gets measurement done right, whether they are a private equity portfolio company, other s medium sized organizations, or even the enterprise ones. We're all stressing andbeing challenged by the same things. Dennis, welcome back.Denis Scott (01:28)Thankyou for having me back. This is great. Yeah, I really enjoyed the conversation in the first one.Alan Rudolph (01:32)You know, Dennis, as I sit in board meetings where AI spend is being, addressed at a line item level, and sponsors are asking about measurement, about business value, and management teams are trying to defend what they did, why they did it, where where is my expense? Where's my capital allocation, etc.? What should a portfolio company CEO be able to show a board today that most simply cannot?Denis Scott (01:58)Yeah, this is exactly where our product lands often is in board conversations, right? And so we are finding that teams are leveraging our Larid and data to have those conversations. And so what they're really trying to show the board is is really the two thing, well, three things I should say. One, how has our organization adopted AI, So is it is it only engineering? Is it across functions? What what does it look like AI within within the the company?The second thing is, what does our spend look like on AI? AndAlan Rudolph (02:30)Mm.Denis Scott (02:31)that number, whatever that number may be, naturally that leads to, well, I don't know, is that good or bad? Are we spending enough or are we doing too little? so then that naturally leads to, well, what are the business ...
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