Most companies can demo AI. Far fewer can defend it on a balance sheet. Rachel Gray sits down with board director and former CEO Jorge Tittinger to get brutally practical about what separates AI hype from AI ROI and why so many organizations get stuck running pilots that never become real capabilities.

We break down the three buckets Jorge sees across enterprises today: teams that are experimenting with tools, teams getting localized productivity gains, and the small group that is redesigning business processes and even business models around AI. From there, we get specific about measurement. If AI “saves time,” what happens next and how do you prove value in a way leaders can trust? Jorge lays out a simple framework for tracking efficiency, effectiveness, and true transformation, plus the non-negotiables he wants before funding scale: a meaningful business problem, a baseline, a realistic scaling plan, one accountable executive owner, and a system that measures value after deployment.

We also dig into AI governance, agentic AI risks, and where “human in the loop” belongs so accountability stays clear. Finally, we talk directly to CMOs and marketing leaders: stop selling the board on features and tool counts, and start showing the business outcomes that matter most like conversion, retention, CAC, and customer lifetime value.

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