AI is only as valuable as the context it can access and the confidence you have in how it uses it.
Generic AI can generate answers. But in the enterprise, meaningful outcomes depend on connecting the right operational, customer and team context, while ensuring data access is controlled, outputs are trustworthy and accountability remains clear.
Join us for an exclusive Exec Series session exploring how Atlassian Rovo and Teamwork Graph can help organisations move beyond AI experimentation to practical, governed enterprise intelligence. Discover how to unlock the value of information already across your business, connect fragmented data into a richer picture of your operations and customers, and establish the guardrails needed to scale AI with confidence.
See how Rovo can turn everyday work across Loom, Bitbucket, Jira and Confluence into actionable executive briefings, surfacing insights from the work happening across your organisation, without starting from scratch.
Explore how a richer Teamwork Graph can reveal the expertise behind your organisation’s work, connect the right people to the right challenges, and bring customer signals from fragmented systems and communication channels into a more complete, connected view.
Understand how to manage connector access, enforce identity and permission boundaries, and transform raw customer communications into auditable signals of intent. Explore how an AI Decision Ledger can strengthen transparency around the models, prompts and reasoning behind AI-driven outputs.
Examine the governance principles that help CIOs, CISOs and executive teams adopt AI agents responsibly, balancing speed and innovation with security, oversight and clear human accountability.
Whether you're shaping your organisation’s AI strategy, responsible for technology and security, or looking to turn AI investment into measurable business value, this session will help you connect the strategic opportunity with the practical realities of enterprise adoption.
Expect real-world examples, actionable insights and an open discussion about what it takes to make AI work in a complex enterprise environment.

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