<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=299788&amp;fmt=gif">
Skip to content

Untitled-07There were so many awesome announcements to come out of Team '23, and the biggest of the bunch was the introduction of Atlassian Intelligence. While the company has been embedding AI into their products for some time, the announcement marks the introduction of a ton of exciting new features that are going to make your work life a whole lot easier!

The Big Picture

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.


How You Can Use Atlassian Intelligence Today

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!


Knowledge Management

  • If you’ve taken meeting notes, you can ask it to summarize decisions and action items.
  • It can build a glossary of terms unique to your company. Then, when someone highlights one, it will provide a definition, complete with source.
  • It can answer questions based on documentation of your company’s internal policies and procedures.


Service Management

  • It acts as a virtual agent–you can ask it a question, and it will scan the knowledge base and give you an answer. Follow up 
  • If it can’t resolve your request, it can ask you follow up questions and take the next steps.
  • If it needs to hand you off to an agent, it can summarize activity to get them up to speed fast.
  • If an agent needs help writing a response to a customer, it can help draft one, and even make recommendations on tone!


Work Management

  • You can ask it a question in natural language, and it will translate it into a JQL query so you can, for example, find an issue you’re looking for.
  • If you need to test an update, you can ask it to tell you what environments to test it in.


With Great Power Comes Great Responsibility

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.


Learn More and Join the Waitlist for Early Access!

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.


Atlassian Team '23 recap webinar

See More From These Topics