Underpinning Atlassian Intelligence are Atlassian’s own AI models, as well as those of OpenAI. The system is built on the Atlassian platform, so it will essentially be a native experience across solutions like Jira Software, Jira Service Management, and Confluence Cloud. Additionally, Atlassian Intelligence uses large language models to understand how your teams work, and how the products they work on relate to one another. All that rich data in your Atlassian tools, and even select third-party tools, helps to provide additional context.
For now, Atlassian Intelligence functions like a virtual teammate. You can ask it questions using natural language, and it will answer them and even perform some functions, which we’ll give you a few examples next, to keep working moving forward at a fast pace.
AI, by its very nature, changes fast, and in these early days that change is taking place at warp speed. We rounded up some examples of where you can expect to see Atlassian Intelligence show up in the Atlassian Platform, and how you’ll be able to use it today, but keep in mind that this is only the beginning!
Technology is changing fast, and nowhere is that more true than in the world of AI. Atlassian is committed to acting responsibly in how they build, deploy, and use any new technology, including AI. To make sure they live up to the expectations they’ve set for themselves, they developed a set of Responsible Technology Principles to guide them on their journey.
You can read Atlassian’s Responsible Technology Principles here. It’s well worth taking a few minutes to do so.
If you’re interested in testing and co-creating Atlassian Intelligence, you can join the waitlist for early access here.
Read the full Atlassian Intelligence announcement here.