In this episode of Learning Curve, we explore how AI has quietly become a natural part of agile workflows without feeling disruptive or forced. Matt Sharp and Holly Fake are joined by Shawn Cleary, a scrum master at Flexion, to discuss how AI tools support real, everyday work across planning, sprints, retrospectives, and team communication.

Shawn shares how AI shows up throughout a sprint, from summarizing discussions and pulling out themes to supporting retros in tools like EasyRetro and improving meeting workflows with Zoom and Otter.ai. We discuss where AI saves time, where it still feels clunky, and why the fact that AI feels “not weird” anymore might be the clearest sign of its value.

The conversation also digs into small, embedded AI features that make a big impact, the importance of seamless integration for adoption, and how scrum masters can use ai to support team health, navigate difficult conversations, and reduce cognitive load. Plus, we hear a fun example of creative ai use outside of work, including trivia playlists that adapt to the flow of a game.

If you’re a scrum master, agile practitioner, or team lead curious about practical ai tools, large language models, and low-stakes ways to start integrating ai into your workflow, this episode offers grounded, real-world insights you can actually use. Subscribe to Learning Curve for honest conversations about ai, agile teams, and building technology that works for people.