Refinement with AI: Augmenting Speed, Preserving Clarity

Backlog refinement is essential to successful delivery—yet many teams struggle with sessions that either lack structure or get bogged down in detail, leading to misalignment, missed dependencies, and costly rework. AI offers new opportunities to accelerate preparation by surfacing dependencies, suggesting acceptance criteria, and highlighting gaps. But efficiency alone isn’t the goal—refinement is ultimately about conversations that build shared understanding and alignment. If AI can speed up the preparation, how do we ensure the conversations that truly matter don’t get lost along the way? This session explores how AI can augment, not replace, those conversations. Attendees will learn how to blend AI-generated insights with facilitation techniques that keep refinement human-centered, collaborative, and focused on outcomes. Learning Objectives: Discover where AI adds value in backlog refinement without replacing dialogue. Learn techniques to integrate AI insights into collaborative team conversations. Recognize the limits of automation and the importance of human judgment. Explore practical ways to improve clarity, alignment, and speed in refinement sessions.