AI is only as useful as the context behind it. Without a unified, connected foundation, enterprise AI delivers fragmented insights, generic recommendations, and disappointing returns. The real question is not what your AI knows in the abstract. It is whether your AI understands how work actually gets done in your organization, how sellers qualify deals, how support engineers debug issues, how risk teams make decisions, and who is allowed to see what along the way.

In this session, Atlassian will show how the Teamwork Graph gives AI the real-world context it needs to deliver results. You will hear how media giant Axel Springer connected their org charts, code, and design tools to Rovo to solve real business friction. Learn how they used connected context to replace hours of unproductive meetings, automate post-incident documentation, and dramatically reduce developer LLM costs.

Key Takeaways

• Discover how enriching the Teamwork Graph dramatically improves the accuracy, relevance, and everyday usefulness of Rovo across your organization's unique workflows and tools.
• See how Axel Springer used the Teamwork Graph to unify context across their tech stack and get meaningful value from Rovo starting on day one.
• Leave with a practical framework for configuring context-aware AI that respects permissions, maintains enterprise governance, and scales without sacrificing performance or data privacy.