AI can help product owners move faster, but faster is not always better. In this episode, Lance Dacy and Brian Milner explore where AI genuinely improves product work and where teams still need strong judgment, clear priorities, and real customer understanding.

Overview

As development teams adopt AI tools at a rapid pace, product owners are under pressure to keep up. Brian and Lance discuss how AI is already changing backlog refinement, product discovery, stakeholder communication, and day-to-day product work. They also explore why many teams are still using AI too narrowly and missing larger opportunities to improve decision-making and collaboration.

The conversation stays grounded in practical application rather than hype. Lance shares where AI can save product owners meaningful time, where human judgment still matters most, and why teams need to be careful about treating AI-generated output as automatically correct. If your team is trying to understand how AI fits into modern product leadership, this episode offers a realistic starting point.

References and resources mentioned in the show:

Lance Dacy

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This episode’s presenters are:

Brian Milner is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®, and host of the Agile Mentors Podcast training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work.

Lance Dacy is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®. Lance brings a great personality and servant's heart to his workshops. He loves seeing people walk away with tangible and practical things they can do with their teams straight away.