In this episode, Eric Naiburg and Darrell Fernandes of Scrum.org tackle a pressing question: How do you measure the impact of AI on your team? from a recent webinar focused on AI as a teammate.

They explore how AI’s role differs across organizations—from ideation and analysis to stakeholder engagement—and why its productivity gains are still evolving. The conversation highlights the importance of combining qualitative insights with quantitative metrics, including flow-based measures like velocity, to assess real impact.

They also discuss the growing responsibility of hiring managers to define AI roles clearly, set expectations, and ensure AI contributes value without disrupting team dynamics. Plus, they share how AI itself can be leveraged to help define roles, recommend metrics, and improve performance measurement.

In this episode of the Scrum.org Community Podcast, Dave West sits down with Tomasz Maj, Head of Product Ops at Odevo, to explore how a rapidly growing property management giant is navigating the AI revolution. Odevo faces a unique challenge: managing a massive, diverse portfolio across the northern hemisphere while balancing centralized scale with local autonomy.

Tomasz pulls back the curtain on "vibe coding"—the democratization of development that allows non-technical staff to build functional tools—and how Odevo balances this "wild west" of innovation with rigorous security and GitHub-backed governance.

Key topics include:

• The Operating Model of Diversity: Why Odevo chooses not to have a single "master platform" and how that fuels speed.
• Vibe Coding in the Wild: How accountants and maintenance teams are using AI to solve their own data problems.
• The 5-Step AI Engineer: Inside Odevo’s comprehensive training program, from prompting to agentic development.
• Governance vs. Innovation: How to implement "Module Zero" (legal, GDPR, and security) without killing the creative spirit.

In this episode of the Scrum.org Community Podcast, Eric Naiburg, COO at Scrum.org and Darrell Fernandes, Executive Advisor at Scrum.org continue to dive into how to make AI a true teammate in product development while answering questions from a recent webinar on the topic. They explore the importance of creating a context library to store domain-specific knowledge, enabling AI to provide accurate, efficient answers. Learn how consistent definitions, thoughtful prompt engineering, and regular updates to your AI context can improve team collaboration, reduce costs, and empower Scrum Masters to guide effective AI usage.