AI agents can take on meaningful work across the software delivery lifecycle, but getting real value from them takes more than adding an agent to your workflow. Teams need to rethink how work is planned, executed, and reviewed across the lifecycle. In this session, technical teams will see how Atlassian built a complete, AI-native software delivery loop in Jira: turning scattered context into agent-ready plans with Jira’s new AI Planner experience, delegating work to humans and AI, and reviewing outcomes with intent and decisions baked in. You’ll see the full workflow in action and learn how to apply the same principles to your own team and tooling.

Key Takeaways: 

• Turn scattered product, engineering, and customer context into agent-ready Jira plans with clear ownership
• Decide what to delegate to agents vs. keep with humans, and where to add guardrails and approval checkpoints
• Review and iterate agent output with rationale and learning loops connected back to Jira as your system of record