Product-Led AI: From LLM Geekery to Outcomes
Every tech wave has a cart-before-the-horse phase. What product-led AI looks like instead: start with customer outcomes and explore problems before solutions.
Every tech wave has a cart-before-the-horse phase. What product-led AI looks like instead: start with customer outcomes and explore problems before solutions.
Why scaling slows delivery down and how to flip the inverted coordination pyramid to organize around real product outcomes in the age of AI.
Organizational traction separates companies that execute well from those that just generate activity. What it means, how to measure it, why agility helps.
What does 'working software' mean when you don't build software? How Done Increments and empirical delivery apply in consumer goods, pharma R&D, and beyond.
How product leaders can use product thinking on the product organization itself, with experiments, minimum viable changes, and evidence-based adaptation.
How do you fix OKRs that have lost the plot? This session resets OKRs around business outcomes, focus, and real steering instead of reporting theater.