Atlassian, a leading provider of team collaboration and productivity software, has recently launched Atlassian Intelligence, a suite of AI capabilities integrated into their cloud-based products. This first set of AI capabilities is available to users across a range of Atlassian products, including Jira, Confluence, and Bitbucket.
Atlassian Intelligence offers a range of features, including the ability to create automated rules, natural language processing for JQL queries, and virtual agents. With these capabilities, users can increase efficiency and reduce manual tasks, allowing them to focus on more important work. Atlassian has also hinted at more features to come in the future, further expanding the potential of Atlassian Intelligence.
What’s Happening?
Atlassian is integrating AI into its suite of products to enhance teamwork through human-AI collaboration. This move will enable teams to leverage Atlassian Intelligence to accelerate their work, reduce manual tasks, and deliver value faster. The first wave of Atlassian Intelligence capabilities is now available across Atlassian Cloud products like Jira Software, Confluence, and more. The AI capabilities include natural language to JQL, virtual agents, summaries, and more. Atlassian Intelligence does the heavy lifting for you, whether it’s summarizing meeting minutes in Confluence, defining new work in Jira Software, or helping you craft that perfect response in Jira Service Management. The AI-driven “virtual teammate” harnesses organizational data to make insights immediately accessible, and leverage those insights to simplify data-driven decision-making.
What Does This Mean?
Atlassian Intelligence (AI) is designed to help individual users and teams work more efficiently. As an individual user, you can use AI to generate plan drafts and summarize issues, saving time and increasing productivity. AI definitions for projects and terms are also coming soon.
For team-level collaboration, AI features include Q&A with AI-generated answers based on organization-wide knowledge sources. Anyone in the team can use natural language to JQL or SQL, which frees up data engineers’ time and increases team velocity. Virtual agents can run in Slack, allowing for easy access to requests, and more types of virtual agent behaviors are coming soon.
Early customers like Domino’s and Ovo Energy have reported productivity gains from virtual teammates that can perform actions like granting access to a document file. Overall, Atlassian Intelligence can help individuals and teams work more efficiently and effectively.
Why It Matters
Atlassian, a leading provider of office productivity tools, has introduced AI capabilities to its products. This has led to many project managers trying AI for the first time. However, one point of concern is the RAG-powered search. Although RAG apps are hot topics, they can still hallucinate, and it’s even harder to spot one made-up detail in the haystack of correct ones. Despite this, the demo GIFs look really helpful and can provide developers with more tools to create tickets and improve productivity.
Many early users reported significant benefits. Here’s a sample:
Teams at Domino’s Pizza Enterprises Ltd use Atlassian Intelligence to boost individual productivity.
“In my day-to-day work, Atlassian Intelligence acts as a virtual teammate that summarizes 5-page PIR reports into 5-sentence recaps for me, so I can get up to speed quickly ahead of monthly review meetings. It’s already proven its worth by improving productivity across our product teams.”
Technology Officer Matthias Hansen, Group Chief
Ovo Energy, a leading energy technology company determined to create a world with clean, affordable energy for everyone, has used Atlassian Intelligence to provide AI-powered assistance for developers in Slack.
“Atlassian Intelligence has helped us bring our DevOps practices into Slack to reduce context-switching. We leveraged the virtual agent to create an AI-powered Developer Assistant to streamline support for developers in Slack; this means they can get help without having to leave their favorite tools. Alongside AI answers and issue summaries, harnessing Atlassian Intelligence to reduce distractions has led to a boost in our developer experience.”
Martin Brignall, Developer Tooling Specialist
Frequently Asked Questions
How to Integrate Atlassian Intelligence into Jira Service Management?
To integrate Atlassian Intelligence into Jira Service Management, an organization admin must activate AI through Atlassian Administrator. Once activated, AI features can be used to automate support interactions, streamline processes, and quickly summarize critical details, comments, and actions.
What are the Capabilities and Functions of Atlassian Intelligence?
Atlassian Intelligence integrates with products like Jira, Confluence, and Bitbucket to boost productivity, leverage organizational data, and streamline data-driven decision-making. AI-powered features include automation, data analysis, and natural language processing.
What is the Release Schedule for Atlassian Intelligence Features?
Atlassian releases new features and updates to Atlassian Intelligence regularly. The release schedule varies based on the specific feature or update.
Can Atlassian Intelligence be Enabled for Data Center Installations?
Yes, Atlassian Intelligence can be enabled for Data Center installations. Atlassian Intelligence for Confluence is a new virtual teammate that helps teams work more effectively.
How do Jira and Confluence Work Together with Atlassian Intelligence?
Jira and Confluence work together with Atlassian Intelligence to provide a seamless experience for users. AI-powered features include automation, data analysis, and natural language processing. Users can leverage Atlassian Intelligence to accelerate their work, reduce manual tasks, and streamline data-driven decision-making.
Are there AI-Powered Features within Confluence to Enhance Project Management?
Yes, there are AI-powered features within Confluence to enhance project management. Atlassian Intelligence for Confluence is a new virtual teammate that helps teams work more effectively. Users can leverage AI-powered features to automate support interactions, streamline processes, and quickly summarize critical details, comments, and actions.