Building a Rovo agent is one thing. Getting it to run reliably, handle complex multi-step work, and operate without someone watching over it is another challenge entirely. Most teams hit a ceiling when their agents are doing simple tasks well but cannot yet be trusted with the real, high-stakes workflows that would actually save hours of human effort.

This live demo takes you past the basics. You will see how to break complex processes into coordinated subagents, each handling a focused task, with an orchestration layer connecting them into a coherent workflow. You will also see how evaluations work to test agent reliability before you put them into production, how agent accounts give autonomous agents their own governed identity within your Atlassian environment, and what it looks like when agents run end-to-end without requiring human interaction at every step.

This session is designed for attendees who have foundational experience building Rovo agents and are ready to see what operationalizing them in real-world environments actually looks like. If you are responsible for scaling AI workflows across a team or organization, this is the session to attend.

Key Takeaways

• Learn how to decompose complex Rovo workflows into coordinated subagents so each task is handled with precision and the full process runs reliably end to end.
• Discover how agent evaluations let you validate reliability and catch failure points before deploying autonomous agents into production environments.
• Understand how agent accounts and autonomous execution work together to give your agents a governed, independent identity so they can complete real work without constant human supervision.