Session Title
Agile, Product, and Software Craft in AI-Enabled Delivery

Description
Agile teams are being asked to improve speed, quality, and collaboration while adapting to new ways of working shaped by AI-assisted development. At the same time, many teams still deal with a familiar problem: planning, technical context, and execution often drift apart.

This session explores how agile leadership, product thinking, and software craft can work together more effectively in that environment. The focus is on stronger feedback loops across roles, clearer work definition, better collaboration between those guiding the work and those building it, and practical ways to support continuous improvement without losing delivery discipline.

Through the combined perspectives of an agile coach and a software engineer, this talk examines how teams can connect intent to implementation more clearly, use planning artifacts such as acceptance criteria in more actionable ways, and improve the quality of delivery through better shared context. The session also connects these ideas to kaizen and continuous improvement, with an emphasis on practical application in modern software teams.

Attendees will leave with a clearer view of how to strengthen collaboration across agile, product, and engineering roles in AI-enabled delivery environments, and how better feedback loops can support both team effectiveness and higher-quality outcomes.

Target audience: agile coaches, scrum masters, product managers, product owners, engineering managers, software engineers, delivery leads, and cross-functional technology leaders.

Preferred session duration: 60 minutes.

Format: joint presentation from an agile coach and a software engineer.

Focus: practical, cross-functional session for teams working at the intersection of delivery leadership, product thinking, and software development.

Level: intermediate. Accessible to mixed audiences across agile, product, and engineering.