Atlassian today announced the launch of Atlassian Intelligence (AI), the company’s AI-driven “virtual teammate” that leverages the company’s own models in conjunction with OpenAI’s large language models to create custom teamwork graphs and enable features like AI-generated summaries in Confluence and test plans in Jira Software, or rewriting responses to customers in Jira Service Management.

graphic depiction of Atlassian Intelligence, the company's AI-driven 'virtual teammate'

Image Credits: Atlassian

These new features will only come to Atlassian’s cloud-based offerings. The company doesn’t currently have plans to bring it to its data center editions.

In today’s digital age, companies are constantly searching for ways to enhance their services. And provide a better experience for their customers. One of the latest trends is the incorporation of AI-powered chatbots, like ChatGPT, which can interact with customers in a conversational manner. And provide personalized assistance. While many companies are jumping on the bandwagon, few have the same reach and reputation as Atlassian, particularly within the developer community.

Atlassian has made a name for itself as a leading provider of software development tools and services. Such as JIRA and Bitbucket. However, the company has since expanded its focus beyond developers to encompass a range of other teams. This includes IT departments and those that work alongside developers. This has given Atlassian a unique perspective on how teams collaborate and interact with each other. Which it is leveraging for its new product.

The AI system developed by Atlassian uses machine learning algorithms to analyze how teams work together and identify patterns in their behavior. By doing so, the system can create a “custom teamwork graph” that shows the various types of work being done and the relationships between them. This graph can be enriched with additional content from third-party apps, such as project management tools or communication platforms.

Key advantages of the Atlassian AI system

One of the key advantages of the Atlassian AI system is its ability to provide personalized recommendations to users. By analyzing the data gathered from the custom teamwork graph, the system can identify areas where teams may be struggling and suggest ways to improve collaboration and productivity. For example, the system may suggest changes to workflows or recommend new tools that could help streamline processes.

Another benefit of the Atlassian AI system is its ability to provide real-time feedback to users. By analyzing user behavior and interactions with the system, the AI can detect when users are experiencing difficulties or frustrations. Then provide assistance or guidance in real-time. This can help to reduce frustration and improve the overall user experience.

Promising development on the world of AI-powered chatbots

Overall, Atlassian’s foray into the world of AI-powered chatbots is a promising development. By leveraging its expertise in software development and team collaboration, the company is well-positioned to deliver a product that is both useful and intuitive. As more companies begin to explore the potential of AI-powered chatbots, it will be interesting to see how Atlassian’s offering stacks up against the competition.

Powerful AI-driven tool for JIRA and Confluence

Atlassian Intelligence is a powerful AI-driven tool that is deeply integrated into the company’s suite of products, offering a range of features that can save users valuable time and improve productivity. One of the most notable features of Atlassian Intelligence is its Chat-GPT-like chatbox, which allows users to reference specific documents and generate summaries and action items with ease.

For example, if you want to summarize the action items from a recent meeting, you only need to tell Atlassian Intelligence to generate a summary and link the document with the transcript. It will then generate a list of decisions and action items from the meeting, all within Confluence. Similarly, in Jira Software, developers can use the new AI features to quickly draft test plans based on what it knows about a given operating system or other information in a product’s specifications.

Virtual agents automation for JIRA and JIRA Service Management

One of the most significant advantages of Atlassian Intelligence is its ability to automate support interactions through a virtual agent. Users of Jira Service Management can take advantage of this feature by using the agent to automate support interactions right from inside Slack and Microsoft Teams. The agent can pull up answers from existing knowledge base articles and quickly summarize previous interactions for newly assigned agents, enabling them to quickly bring themselves up to date on a given issue.

In addition to its automation capabilities, Atlassian Intelligence also offers a natural language query translation feature, which can translate queries into Atlassian’s SQL-like Jira Query Language. This opens up the capability to many more users, making it easier for teams to collaborate and work together effectively.

In Short

Atlassian Intelligence is a powerful tool that can help teams save time and improve productivity. This by automating support interactions, generating summaries, and drafting test plans. Its Chat-GPT-like chatbox is deeply integrated into the company’s suite of products. Making it easy for users to reference specific documents and collaborate effectively with team members. With its range of powerful features and intuitive interface, Atlassian Intelligence is a valuable asset for any team looking. To streamline their workflow and improve productivity.

All of these new capabilities are now available in early access. Organizations that want to try them can join a waitlist to get access to them here. Following the early access period, some of these features will become paid features over time, but Atlassian specifically notes that the virtual agent for Jira Service Management will be included at no extra cost in its Premium and Enterprise plans.