In this episode of Qonversations, Edosa Odaro joins host Brian Gorman for a clear-eyed conversation about what it actually takes to make AI work for people and performance. Edosa, author of The Values of Artificial Intelligence: How Smart Leaders Capture and Connect AI Value to Human Values, makes a simple but often ignored point. Successful AI initiatives rarely begin with technology. They begin with people. With clarity about purpose. With alignment around what “value” truly means.

Too many organizations rush toward AI for speed, automation, or cost reduction. The technology may function, but the value fails because financial metrics were treated as the only definition of success. Edosa explains how misalignment shows up in predictable ways: when lab performance doesn’t translate to real-world results, when pilots don’t scale, when early wins don’t sustain, and when stakeholders define value in fundamentally different terms.

The conversation explores how leaders can avoid those traps by creating cross-functional value teams, developing tools that translate technical capability into human impact, aligning incentives and metrics across functions, and building a shared language around value before writing a single line of code. They also confront a larger shift: as AI commoditizes intelligence, discernment becomes the differentiator. If machines can optimize decisions, leaders must decide what outcomes are worth optimizing in the first place.

Brian describes Edosa’s framework as the kind of guide every leader should keep on their desk and revisit often not because it simplifies AI, but because it sharpens judgment. This episode is a practical, grounded roadmap for leaders who want AI to create genuine human-AI win-wins rather than expensive lessons.