If you think artificial intelligence in business just means plugging in some new algorithms and calling it a day, Atlassian wants you to think again. The company—best known for tools like Jira and Confluence—has made a bold move: it’s not just adopting new AI tech, it’s reshaping its entire culture to support the kind of innovation and teamwork that make cutting-edge AI actually useful at work.
This focus on culture was a main talking point at VB Transform 2025, where Atlassian president Anu Bharadwaj, along with Hugo Bowne-Anderson from Coiled, got real about what it takes to make AI work inside an enterprise. For Atlassian, AI isn’t just about automation—it’s about “agentic AI,” or AI that can act independently and flexibly to reach goals. That sounds futuristic, but there’s a catch: it only works as well as the people and processes around it allow.
Bharadwaj put it plainly: you can’t just give people new tools and hope for the best. At Atlassian, there’s an emphasis on experimentation—a place where trying new things (and even failing) is encouraged. Team members are expected to launch quick, small-scale experiments to see how AI can enhance products or workflows, and instead of getting penalized for failed attempts, those are treated as valuable lessons. That’s how features like smarter ticket automation in Jira or improved content suggestions in Confluence found their way to customers so quickly.
But this approach is not just about moving fast. It’s about psychological safety—making sure employees feel secure enough to take risks without fearing backlash. This attitude has helped Atlassian weave AI into everything it does, keeping innovation moving forward at a steady clip.
Of course, it also takes clear leadership. Bharadwaj emphasized that the most important thing is setting a clear direction and trusting teams to get there, rather than micromanaging every little detail of how AI is implemented. Atlassian’s leaders align everyone toward the bigger mission, then let teams find their own best ways to contribute to that goal.
And perhaps most importantly, this isn’t just a project for the data scientists. At Atlassian, people from all sorts of backgrounds—product managers, designers, marketers—play a real part in shaping how AI gets built and used. That cross-departmental collaboration is what helps ensure the end result isn’t just clever, but genuinely helpful, ethical, and easy to use.
As AI continues to evolve at breakneck speed, Atlassian’s model—focused on people, process, and purposeful experimentation—offers a real-world playbook for enterprises looking to grow responsibly in this space and get the most out of “agentic AI.” Want to see how it all comes together? Take a deeper look at their journey below.
Read the original story at VentureBeat.
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