At this year’s Team ‘25 we unveiled some pretty huge announcements, including impressive advances in AI. We thought we’d highlight what this means for Jira users — so keep reading to learn how to use the newest AI features to optimize how you plan work, collaborate better, and find what you need faster.
At Team ‘25 we shared that we’re making our enterprise AI solution, Rovo, available to all of our customers. That means you’ll soon be able to start using the new out-of-the-box agent in Jira that we announced!
Workflow Builder simplifies the process of updating and managing Jira workflows. It’s a valuable tool for managing Jira projects by automatically creating transitions, statuses, and rules. Whether you’re a program manager setting up a workflow, or on the HR team and setting up an approval process for employee time off, you get access to extensive knowledge bases to help you set up and configure workflows effectively.
AI work creation was made generally available in December, letting you identify and create Jira work items directly from a Confluence page. No more juggling multiple browser tabs, copying and pasting text, or struggling to keep your page (and details) in view!
Find yourself discussing with your team in Slack what steps are needed to successfully turn user requests into a new feature, or get a Teams alert you need to quickly pivot on a social media campaign? You can now create work directly from the chat threads where collaboration happens.
AI work breakdown streamlines the process of creating work items. Instead of adding each item individually, AI suggests how you divide your work into sub-tasks. Once you customize and approve these suggestions, all child work items are automatically created and organized correctly. With AI work breakdown now available in Jira Plans, you can more quickly estimate release dates for cross-team projects, answer staffing and resource questions, or map out your organization’s yearly goals.
Be confident your work is ready for stakeholders
Related resources and similar Jira work items automatically locate and display key information from your tools and documentation, linking it directly to a Jira issue. That means if you’re a dev looking for product requirements, you won’t need to drop everything and spend valuable time manually searching for the relevant context to get started.
This feature is now generally available for Confluence, and will soon be able to surface additional resources from the places cross-functional teams work—such as Figma and Google Drive.
Smart replies make it easier than ever to collaborate in Jira with contextual AI-generated conversation starters and comments, helping teams have the right conversations on Jira work items. They offer a friendly prompt for the things you need to communicate most frequently, like quickly requesting (or providing) status updates.
NL search in JQL lets you use natural language to more easily and quickly find work items and their dependencies, even those requiring complex JQL queries. Now, searches will be even more relevant by using AI to resolve errors in JQL, so anyone from program managers to product marketing can quickly query the status of their product team’s work (without having to learn every error state).
Jira’s AI is better than the rest. It pulls context from the same places you do — strategy documents in Confluence, project requirements in Jira, and even Slack or Loom conversations. Combined with our continued focus on quality, suggested content and next steps continue to grow more relevant, timely, and the right fit for the task at hand.
You trusted us with major transformations, and you can trust Rovo for your team’s AI transformation as it’s built responsibly on enterprise-grade infrastructure.
We can’t wait to share future Rovo updates with you, and would love to know which features you’re excited to start using (or are already a fan of) in the comments!
Finch Grace
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