AI agents are moving beyond hype—they're becoming practical teammates that automate repetitive work and help teams make better decisions.

In this hands-on Atlassian Community workshop, you'll learn how to identify the right use cases for AI agents, transform business problems into structured agent instructions, and iteratively build, refine, and extend an agent using Atlassian ROVO.

Rather than focusing only on the tool, this session teaches an agent-builder mindset—a repeatable approach you can apply across Jira, Confluence, and even beyond any ecosystem.

What you'll experience

• Discover high-value AI agent use cases

• Create an Agent Discovery Canvas

• Build a ROVO Agent from scratch

• Refine prompts through multiple iterations

• Identify and avoid common agent-design mistakes

• Explore actions that create or update Jira issues and Confluence pages

• Interactive discussions, group activities, live demos, and Q&A

Whether you're a Scrum Master, Product Owner, Agile Coach, Project Manager, Developer, Business Analyst, Jira Admin, or AI enthusiast, you'll leave with a practical framework to design AI teammates that solve real workplace problems.

Key Takeaway:
Build your first AI agent—and more importantly, learn a repeatable framework to identify, design, refine, and safely scale AI teammates in your everyday work.