Tamar Yehoshua, Atlassian's Chief Product & AI Officer, said the shift in customer conversations has been swift. "Every customer we talk to, everyone is using AI," she said, but added that many are unsure how to pick the right models or extract what she called "maximum ROI" from the tools they've adopted.

Atlassian's answer is a system it describes as "multiplayer" AI, built around teams rather than individual users. The company routes AI tasks through a gateway that automatically selects the best available model for a given job and can shift work done through its Rovo product to a new model as soon as one is released. Customers can still choose their own models if they prefer, rather than being locked into whatever the gateway picks.

Sherif Mansour, Atlassian's Head of AI, cautioned against depending on a single AI provider. "The real value comes from collaborating with multiple entities," he said.

Yehoshua pointed to specific product upgrades as examples of the approach, including a new feature in Loom that generates video from pull requests, and AI agents built on Rovo that categorize software defects.

Both executives tied their pitch to a line from Atlassian co-founder and CEO Mike Cannon-Brookes, who has said customers are "not subscribing for the software we've built, but for the software we will build." Yehoshua said she backs that framing as AI models continue to change. She and Mansour also argued that AI is democratizing innovation, and that the data context a business holds, not the AI tools themselves, is what ultimately separates winners from the rest.