Tamar Yehoshua on Building AI with Enterprise Context at Atlassian

What gives one enterprise an AI advantage over another? According to Atlassian Chief Product & AI Officer Tamar Yehoshua, it’s not simply access to the latest models, it’s the depth of enterprise context.

In this episode of Technovation, Tamar joins Peter High to discuss how Atlassian is leveraging decades of workflow history through its Teamwork Graph to power AI across Jira, Confluence, and Rovo. She explains why enterprise context is becoming the defining ingredient for AI success, how software must now be designed for both humans and AI agents, and why leadership judgment becomes even more valuable as AI accelerates software development. Tamar also shares Atlassian’s approach to AI Builder Weeks, measuring AI productivity, building open agent ecosystems, and helping customers realize measurable business value from AI investments.

This episode is presented by Mailtrap — Modern Email Delivery for developer & product teams. Learn more at mailtrap.io