AI agents now handle real work, yet individual productivity gains rarely translate into organizational results. Tamar Yehoshua of Atlassian explains how to design products and workflows where agents and people work well together.

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AI agents in the enterprise are moving from chat assistants to coworkers in 2026, taking on assigned work and operating within business systems. Many organizations see individual productivity climb while company-wide results barely move. Tamar Yehoshua, Chief Product and AI Officer at Atlassian, examines what agents need to do useful work, including organizational context, products designed for both people and agents, and clear lines of human accountability.

Key points:

How AI agents transform daily work in large organizations, and why individual productivity gains often fail to improve overall results.
What context an agent needs to do useful work, and how enterprises should prepare their data and workflows.
Where to draw the line between automation and human sign-off, including who is accountable when an agent gets it wrong.

AI agents can now take on assignments, operate within business systems, and complete work once handled by people. The difficult questions belong to leaders: which work suits agents, what these systems need to succeed, and who is accountable when they fail. Tamar Yehoshua, Chief Product and AI Officer at Atlassian, has led product organizations at Google Search, Slack, and Glean and now directs AI strategy for software used across most of the Fortune 500.

CXOTalk episode 930 examines how to build products and workflows that enable people and AI agents to work together.

What we will cover:

Strategy for building products intended for both humans and AI agents, and how agents change the way work is done in large organizations.
Where agent adoption stands in the enterprise, the common obstacles, and how tokenomics and rising AI usage costs affect planning.
What context means in practice, what an agent must know about your organization, and how to prepare data and workflows.
Security and privacy risks of sharing organizational context with agents and external vendors.
Assigning work to agents as you would to a person, handling tasks that still require human sign-off, and maintaining accountability when an agent gets it wrong.
Advice for business leaders introducing AI agents into enterprise workflows and what comes next for AI agents at Atlassian.

Join this interactive session with Tamar Yehoshua live on Friday, August 28, 2026, at 1:00 PM ET on CXOTalk. Subscribe for key takeaways from every episode and advance notice of live shows.

Episode Participants

Tamar Yehoshua is Atlassian’s Chief Product and AI Officer, driving the company’s vision for the future of teamwork in the age of AI.

Michael Krigsman is a globally recognized analyst, strategic advisor, and industry commentator known for his deep expertise in business transformation, innovation, and AI leadership.

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Atlassian Chief AI Officer: Building Products for Agents and Humans