Companies are spending more on AI than ever and seeing almost none of it show up in the P&L. In this episode of Domo's podcast, Governed Data for Agentic AI, Mark Boothe, Chief Marketing Officer, sits down with Chris Willis, Chief Design Officer and AI Futurist, for an honest, hype-free read on where agentic AI actually stands. They dig into the "J-curve" that explains why productivity gets worse before it gets better (the same dip that hit the PC), why handing teams more tools stalls progress when mindset and enablement should come first, and why most AI usage is invisible to the leaders who assume they can see it. Chris lays out his VPC model (visibility, predictability, and control) as the practical path from cool pilot to something you can trust in production, while Mark shares hard-won lessons from transforming his own marketing org, including the Domopalooza keynote videos his team produced for $1,700 instead of hundreds of thousands. Listen for a clear-eyed take on crossing the productivity dip, closing the governance gap most companies are ignoring, and building agentic AI that (dare we say) actually pays off. After listening, you'll learn: * The productivity J-curve, and why a slow payoff is normal * The mindset-before-tools AI operating model * Chris Willis's VPC model for trustworthy agents * Why governed data is Domo's foundation for the agentic era Subscribe to Chris's podcast here: https://www.domo.com/podcast/governed-data-for-agentic-ai

 76      2