Incoming requests pile up, sit in queues, get routed to the wrong team, and arrive without enough context for anyone to act on them quickly. For many support and operations teams, triage is the work before the work: a manual, time-consuming process that delays resolution and drains the people best equipped to solve the actual problem.

In this hands-on lab, bring your laptop and follow along step-by-step as you build a Rovo triage agent from the ground up, in Studio. You will see how to identify an agent use case, translate real-world support workflows into clear agent requirements, connect the right knowledge sources and actions, and write instructions that produce consistent results. The session also covers how to define an evaluation approach so your agent can be piloted in a controlled, measurable way before moving it to production.

This session is built for team leads, operations managers, and Atlassian practitioners who are ready to move from curiosity about AI agents to actually shipping one. No prior agent-building experience is required. You will leave with a repeatable framework you can apply to your own workflows the same week.

Key Takeaways

• Learn a practical framework for identifying which team workflows are genuinely agent-ready so you invest your time in problems where an agent will deliver real, measurable value.
• Follow along on your laptop through the live, step-by-step construction of a triage agent in Rovo Agent Studio, including how to write clear instructions, connect knowledge sources, and wire up actions that produce reliable outcomes.
• Discover how to design an evaluation approach that lets you test agent performance in a controlled environment and build the team trust needed for a successful, lasting rollout.