Facilitated by Toks B.

Artificial Intelligence is transforming the way Agile teams plan, collaborate, analyze information, and deliver value. Rather than replacing Agile practitioners, AI is becoming a powerful partner that helps Scrum Masters, Product Owners, Agile Coaches, and delivery teams work more efficiently and make better-informed decisions.
In this session, we’ll explore practical ways AI can enhance everyday Agile practices—from backlog refinement and sprint planning to retrospective preparation, stakeholder communication, risk identification, and meeting facilitation. Participants will also discuss responsible AI usage, common pitfalls, and where human judgment remains essential.
Whether you’re just beginning to explore AI or already experimenting with tools like ChatGPT, Microsoft Copilot, or other AI assistants, this session will provide practical ideas you can immediately apply to your Agile work.Learning

Objectives

By the end of this session, participants will be able to:
Understand how AI is reshaping Agile delivery and team collaboration.
Identify practical use cases for AI across Scrum events and Agile ceremonies.
Learn how AI can assist with backlog refinement, user story creation, meeting preparation, and documentation.
Explore how AI supports coaching, facilitation, and stakeholder communication while maintaining human-centered leadership.
Recognize ethical considerations, limitations, and best practices for incorporating AI into Agile ways of working.

Who Should Attend?

This session is ideal for:
Scrum Masters
Agile Coaches
Product Owners
Project and Program Managers
Business Analysts
Team Leads
Anyone interested in leveraging AI to improve Agile delivery and team effectiveness.

Key Takeaways

Participants will leave with:
A practical understanding of how AI can support—not replace—Agile practitioners.
Several real-world AI use cases that can be implemented immediately.
Strategies for using AI to save time, improve collaboration, and enhance team productivity.
Awareness of the risks and ethical considerations associated with AI in Agile environments.
Confidence to begin integrating AI into their daily Agile practices in a thoughtful and effective way.

Interactive Activity (Optional)

To make the session memorable, we can end the class with a 15-minute “AI Challenge.”
Break attendees into small groups and give each group an Agile scenario, such as:
A poorly written user story.
A sprint retrospective with recurring issues.
A stakeholder update that needs to be concise and impactful.
A backlog with unclear priorities.
Ask them to use an AI tool to improve the artifact, then discuss:
What AI did well.
What still required human expertise.
How they’d refine the AI-generated output.
This helps reinforces a key message: AI accelerates Agile work, but effective Agile practitioners provide the judgment, context, and leadership that AI cannot.