Atlassian's Chief AI Officer on building products for humans and agents
Tamar Yehoshua is Chief Product and AI Officer at Atlassian, where AI agents are now direct users of the software her team builds.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
AI made you faster. It didn't make you better.
One point four million real workplace conversations with AI were analysed last year. About 5% of people were using it in ways that improved the quality of their work. The “Are you using AI?” conversation is over. Nobody won it. We just stopped having it. But the question we skipped is, “Is anyone reading this stuff before it gets sent?” Increasingly the answer is no, and we can all tell.
How Teamwork Graph Helps AI Agents | Teamwork Graph | Atlassian
This is video is part of the Teamwork Graph benchmarking series being launched by TWG PM/PMM. It is in support of the soon to be released Teamwork Graph benchmark report blog. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.
The Agentic Pivot: Why the work around code matters more than ever
AI is accelerating implementation. The engineering teams who benefit most will connect context, orchestration, and accountability across the work around code. AI can now help engineers turn ideas into working code in minutes, but software delivery has always been more than just producing code.
Atlassian's usage-based pricing: AI value with predictability and control
AI is changing what entire organizations can accomplish. As it moves beyond individual productivity to orchestrating entire workflows, the value of software outgrows what seat count alone can capture. Atlassian customers are already realizing tangible business value from AI and automations, from reporting processes that run up to 40x faster with agents to saving 400 hours per month with automations.
Using @Jira in Microsoft Team: create, update and assign work from chat | Atlassian
Yes, Jira works inside Microsoft Teams. The Jira Cloud for Microsoft Teams app brings project management into your conversations, and it just got smarter. Over a million users already rely on the Jira for Microsoft Teams integration for notifications, work item previews, and quick actions. Now Jira understands natural language, so you can create, update, and assign work without ever leaving your Teams chat.
AI polish makes it harder to spot problems. But there's a quick fix.
AI makes it quick and easy to turn rough notes into a clean, easy-to-read document. Job well done, right? Think again. Atlassian’s Teamwork Lab suspected that this professional veneer—what we call “AI polish”—makes it harder to spot foundational flaws and give feedback, so we tested it. We wanted to know: Does AI polish make it harder to identify problems in early drafts? How can we solve for this blind spot?
Building your AI work factory
There’s a concept in software engineering called a software factory – a structured, repeatable pipeline that takes raw inputs (requirements, code, tests) and reliably produces high-quality outputs (working software). The magic isn’t just automation. It’s the combination of standard tools, curated configuration, and encoded expertise that makes every run predictable, consistent, and improvable over time.
When is AI useful, or just a habit? A Play/Pause break helps teams decide.
For many knowledge workers, reaching for AI tools is now automatic. But the Teamwork Lab wanted to know if using AI actually changes how work feels and how much gets done. So Teamwork Lab tested: What happens when you take away AI for a day?
Drive GitHub Copilot directly from Jira | Atlassian
Already using GitHub Copilot? Now you can drive it directly from Jira. The Copilot integration reads your issue summary, description, and acceptance criteria, and passes that context straight to Copilot to work on your connected GitHub repo. The result: a pull request raised in GitHub, linked back to your Jira issue, ready for review. Watch to see how to connect your planning and your code in one easy flow.