Getting an AI agent to write decent code is no longer the hard part -- keeping your team aligned when planning, execution, and review all move at different speeds is. In this session, engineering teams will see a complete, realistic AI-native delivery loop in Jira: turning scattered context into agent-ready plans, delegating work to humans and AI, and reviewing outcomes with intent and decisions baked in.

• 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