The workshop seeks to develop knowledge and build a network related to the impact that AI-enabled solutions (tools, models, methods, etc.) will have on Agile software engineering practices. The workshop will be a venue and a platform to bring together researchers and practitioners to share ideas and insights, and to spur collaboration for further development and learning. The workshop will consist of three segments: Introductions and keynotes highlighting recent advancements, serving as an inspiration for the workshop’s themes. Presenters include selected proposal authors and invited experts. Guided discussions or Open Space forums, adapted based on audience size, focusing on main themes. Key points and conclusions will be documented for post-workshop summaries. Developing a Research Agenda, inviting participants to contribute towards defining how AI impacts agile software engineering practices and research. Within this scope, the workshop will cover themes including (but not limited to): AI Integration in Agile Development (e.g., how Generative AI tools such as Copilot and GPT fit into existing practices) Data-Driven Decision-Making in Agile (AI needs data, how can data from systems aid in agile decision making, e.g., on team level, in agile transformation) AI in Agile Project Management (e.g., how can AI augment, or aid scrum masters, product owners and product managers) Ethical and Legal Considerations of AI in Software Engineering (e.g., concerns related to IP, AI energy footprint) Collaborative Tools and Techniques in Agile Development (e.g., use of collaboration tools, practices for sharing, and coordinating in the age of AI) Future Trends in AI and Agile Methodologies (e.g., new methods for SE, prompt engineering vis-a-vis coding, agile prompt engineering methods) High quality submissions to the workshop can potentially be invited to a special issue on AI4SE in IST.