Atlassian Corporation, a provider of team collaboration and productivity software including Jira Software, Confluence, and Jira Service Management, has announced the general availability of Atlassian Intelligence, its new Generative AI-driven virtual teammate that accelerates teamwork through human-AI collaboration, at ‘Unleash’, its Agile and DevOps focused event.
Adhering to Atlassian’s mission of unleashing the potential of every team, the company, in April, announced its ambition to transform teamwork by leveraging AI along with 20 years of data on how millions of software, IT, and business teams plan, track, and deliver work. Since then, 10% of Atlassian’s 265,000+ customers have been using their AI capabilities in beta, and many are already reporting significant benefits, time savings, and productivity gains.
The inaugural Atlassian Intelligence capabilities empower teams by boosting individual productivity; they also harness petabytes of organizational data to make insights immediately accessible and leverage those insights to simplify data-driven decision-making. The AI functionalities will enable every company to support distributed teams globally by giving them a shared understanding, helping them quickly summarize thoughts or kick-start ideas.
Anutthara Bharadwaj, President of Atlassian, said, “We’re excited to announce the first wave of Atlassian Intelligence capabilities that are generally available across our Cloud Platform. We believe the future of teamwork will be a partnership between humans and AI wherever work gets done. As Atlassian Intelligence leverages the information in Jira and Confluence, the benefits you get from AI is more relevant to your unique needs, so everyone can more effectively do their best work by driving speed, efficiency, and excellence.”
“We are building towards a future where virtual teammates will be the new workflow agent that will help teams sprint from ideas to action at an unprecedented pace,” she added.
With Atlassian Intelligence, team members can draft pages of business-critical content in seconds, automate routine tasks by simply asking in plain natural language, and instantly summarize long-winded content using AI’s power. The open-by-default nature of Atlassian’s products lets you leverage data from beyond Atlassian’s toolset, leading to richer insights — while maintaining enterprise-grade permissions and security.
In the coming future, Atlassian also plans to deploy the Bitbucket code review assistant, which will help users review pull request diffs and leave comments automatically with suggested changes, so reviewers spend less time reviewing syntax and code conventions and more time reviewing critical changes. Software developers can also auto-generate PR descriptions from commit messages, providing valuable context to the changes.
In building, deploying, and using Atlassian Intelligence, Atlassian is guided by its Responsible Technology Principles, which focus on transparency, trust, accountability, human-centricity, and teamwork. These principles help the company to take accountability for considering and using technologies like AI responsibly and in line with their values. The company recently launched its Responsible Technology Review Template, an easy-to-use guide to support companies in developing responsible AI and technology practices.