Accelerating Innovation: How Atlassian Williams F1 Team Drives Success with Rovo
Dec 17, 2025Jess Burr

Summary
This post details how the Atlassian Williams F1 Team uses Rovo to unify simulation experiment knowledge by documenting methods, assumptions, and insights in Confluence, making them discoverable and actionable via Rovo search, chat, and agents, accelerating access to critical information and reducing time spent searching. It also describes how Rovo and Jira are used to automate and streamline trackside IT checks, from task assignment to incident logging and real-time dashboards.
More from the AI-Native Software Development Capabilities in Jira trail
- A simpler way to run AI agents in Bitbucket Pipelines
- We’re bringing governed agent loops to the AI-Native SDLC
- How we made vulnerability fixes review-ready with Agentic Pipelines
- Agentic automation in practice: putting standard engineering work on autopilot
- Opening the door to agent autonomy: The architecture behind Rovo’s agent harness