Atlassian Chief AI Officer: Building Products For Agents And Humans #930 (54:13)
CXOTalk, Friday, September 4th, 2026
AI agents now work with people using enterprise software, but they start out without any knowledge of your organization. Atlassian's product and AI chief explains how to give them context, guardrails, and clear human accountability.
In 2026, AI agents are becoming everyday users of enterprise software built for people. Tamar Yehoshua, Chief Product and AI Officer at Atlassian, explains how to give agents the right organizational context without driving up costs, where human oversight belongs as agents chain together, and how to set measurable goals so AI spending delivers real value.
Key points:
Giving agents the right context, not the most context, drove 44 percent higher quality and 48 percent lower token usage in Atlassian tests.
A named human remains accountable for every agent chain, supported by guardrails, observability, and agents that verify other agents' work.
Broad mandates to simply use AI fall short; teams need specific goals for tenfold process improvements, measured by token spend and value delivered.