“Unleashing the power of the team is our mission”: Atlassian AI heads tell us why context and collaboration will be the key to unlocking business success

There’s no doubt that AI has helped revolutionize the world of work at many companies, with human employees working alongside agents to unlock improved efficiency and productivity.

But for many firms, the promise of AI is still being overshadowed by the sheer scale of the endeavor - with so many models (and new ones emerging on a seemingly weekly basis), how do you know what is right for you? One of the big themes at the recent Atlassian Team Europe 26 conference was how companies can cut through the chaos and realize their aims, so I spoke to the company’s top AI minds to find out more.

The power of teams “Atlassian's entire ethos is all around teams - unleashing the power of the team is our mission,” Atlassian Chief Product & AI Officer, Tamar Yehoshua tells me at Team Europe 26.

“We've all been using AI agents (but) they're all more geared towards an individual,” she adds, “but they're not organized or effective for teams...so we're taking that and saying, ‘how do you work effectively with teams and AI’? That's multiplayer, and so we want to make sure everyone can work effectively, so you can collaborate with agents in an effective way like you can collaborate with humans.” This “multiplayer” AI was another major theme at Team Europe 26, as Atlassian looked to emphasize its position as being the connector between customers and technology.

“Teamwork is very messy, and our job is to make it much less messy, and understandable and controllable for our customers,” Atlassian Head of AI Sherif Mansour says.

“A lot of AI is about increasing personal productivity…the same problems we solve for humans, we solve for agents.” (Image credit: Atlassian) “Every customer we talk to, everyone is using AI - it's no longer should we, or what do we do - that's already happened...but people are not sure how to use it effectively, and they're not sure if they're getting the maximum ROI,” Yehoshua adds.

“You see the evolution with every new technology, first there’s scepticism, then curiosity, and then its acceptance, and then it’s optimising - I think we’ve gotten through the initial phases, and now we’re asking, how do I use this effectively and optimize it?” She notes there are different levels of anxiety for customers, as the sheer number of new AI models coming out can be disorientating, especially with the need to stay flexible for when new models launch.

She notes that companies don’t want to be using advanced models for simple tasks - something Mansour refers to as “killing a mosquito with a rocket launcher” - so making sure the right model for the job is on offer is vital.