Atlassian has rolled out a wave of exciting Jira updates in Q2 2025, and as an Atlassian Solution Partner, Atlas Bench is here to break down what they mean for your teams. These enhancements focus on smarter use of AI, a more intuitive Jira experience, and new ways to bring people and tools together. Below we recap the key changes and how they can boost team productivity and collaboration.

Atlassian Rovo: AI-Powered Teammate in Jira

One of the headline additions is Rovo, Atlassian’s AI-powered virtual teammate now included in Jira. Rovo acts as an intelligent assistant across your Atlassian tools, aiming to reduce busywork and surface knowledge instantly. Key capabilities of Rovo include:

Rovo Search – A unified, personalized search engine that scours all your content (in Jira, Confluence, and even connected apps like Google Drive or Slack) to find answers quickly. It respects permissions and indexes new information in real-time for up-to-date results.
Rovo Chat – An always-available AI chat companion within Jira that can answer questions, troubleshoot issues, and even take actions on your behalf. Team members can ask things like “How many high-priority bugs are open?” or “Summarize this project’s status,” and get instant, context-aware responses.
Rovo Agents – Out-of-the-box AI agents designed to perform specific tasks and workflows. For example, there are agents for IT support that auto-categorize and prioritize incoming tickets, and development agents that can analyze code or tickets. You can also train custom Rovo agents to handle repetitive processes unique to your business.
Rovo Studio – A new builder hub for creating your own AI-driven automations and agents (with or without coding). This means companies can tailor Rovo’s intelligence to their needs—integrating third-party data, automating custom workflows, and extending Jira in powerful new ways.

Jira board view for an “Awareness campaign” project showing columns for each campaign phase from planning to analysis, with drag-and-drop functionality for tasks.

Capture Work Anywhere with AI Work Creation

Jira is now smarter at capturing work the moment it’s mentioned, thanks to Atlassian’s AI Work Creation feature. Ideas and requests often emerge in chats, emails, or documents before anyone opens Jira – now those conversations can seamlessly become trackable work items. With AI Work Creation, you can turn a Slack message, Microsoft Teams chat, or even a Confluence page into a Jira issue in seconds. Simply invoke Atlassian’s AI in the context you’re in (chat or Confluence) and ask it to create a Jira ticket. The AI will parse the surrounding conversation or text to draft a well-formed issue, complete with a clear summary and details.

This means no more copy-pasting or losing action items. For example, if a customer email or a team chat highlights a bug or task, Jira’s AI can pull the key details and create a ticket for you, so nothing falls through the cracks. The new issue isn’t just a blank shell either – it comes enriched with context. Which leads to the next update...

Jira board showing stages of an awareness campaign from planning to post-launch analysis.

Redesigned Work Items for Clarity

Jira issues have been reimagined as “work items” to feel more universal and user-friendly for all teams (not just developers). Beyond the terminology change, the work item view itself has been redesigned for clarity and quick action:

Simplified layout – The new work item interface is cleaner and allows sections to collapse, so you can hide irrelevant fields and focus on what matters. This declutters the view especially on larger projects.
Inline edits – Many fields can now be updated inline without opening dialogs. In one click you can change a status, assignee, or other field directly on the work item view, speeding up edits.
Threaded comments – Discussions on an issue are now threaded. Team members can reply to specific comments, keeping conversations organized and easy to follow. This was a long-requested feature that makes collaboration within tickets much smoother.
Contextual AI assistance – When viewing a work item, Atlassian’s AI is on hand to help summarize long issue descriptions or update the text. It can even suggest child tasks based on the issue’s content, helping break down big work items into smaller steps automatically.

By making “work items” more actionable and readable at a glance, Jira is reducing the time teams spend interpreting or updating issues.

Slack conversation thread for FleetFlow launch coordination, with messages and calendar event integration.

Streamlined Navigation and Smarter Lists

Navigating Jira has become more intuitive with an updated interface. The left-hand navigation menu is now customizable and consistent across all Atlassian cloud applications. Users can reorder items based on priority, pin frequently used projects or spaces to the top, and hide sections they don’t need to see. This means each team member can tailor Jira’s navigation to their day-to-day needs, finding important boards, queues, or pages faster. The navigation look-and-feel is also standardized across Jira, Confluence, and other products, so switching between them feels seamless and familiar.

In addition, the List View in Jira has gotten a major upgrade. The new list experience brings spreadsheet-like flexibility to issue lists:

You can drag and drop rows to reorganize work items or adjust priority.
In-line editing lets you tweak fields (like due dates or story points) directly in the list without extra clicks.
Enhanced filtering and grouping make it easier to slice and dice your issues – for instance, grouping tasks by assignee or filtering by a custom field is now more straightforward and lightning fast.

These enhancements make Jira more approachable, especially for business teams who might be used to Excel. Managing backlogs or task lists feels more natural and interactive.

Public Forms for External Requests

Teams can now collect requests from anyone – even people without a Jira account – using public forms. This is a game-changer for departments like HR, legal, or IT support that often need to gather input from external users or clients. Instead of forcing someone to email or requiring a login to a portal, you can simply share a Jira form via a link. The form is accessible to the public, and submissions land directly in Jira as new tickets.

For example, HR can create a form for job candidates to request equipment or ask questions before their first day; the responses go straight into the HR project. Similarly, a marketing team could use a public form to let external partners submit creative requests. All this happens securely – respondents only see the form fields, not your internal Jira data.

Jira’s forms are also smarter now with conditional logic. Form fields can show or hide based on prior answers, ensuring the person filling it out only sees relevant questions. This leads to cleaner, more complete submissions. Less back-and-forth is needed to get the information teams require, and it streamlines how work enters your Jira queues.

Form for submitting a creative request in a Vitafleet portal, including request type and channels.

Teamwork Collection: Jira, Confluence, Loom and More Together

Another significant update isn’t a feature inside Jira, but rather how Atlassian is packaging its products. The new Teamwork Collection is a bundled offering that combines Jira, Confluence, and Loom – all enhanced by Atlassian’s Rovo AI capabilities – under one licensing umbrella. In essence, Teamwork Collection gives organizations an integrated toolkit for work management, knowledge sharing, and communication, with AI woven throughout. Its components include:

Jira – The core work tracking platform, serving as the system of record for tasks, projects, and issues across teams.
Confluence – Atlassian’s collaborative workspace for documentation, project plans, and knowledge bases, now supercharged with AI features for content summarization and decision tracking.
Loom – The popular async video messaging tool (recently acquired by Atlassian) for recording quick demos, updates, or meetings. Within Teamwork Collection, Loom videos and transcripts can seamlessly embed in Jira issues or Confluence pages, adding rich context.
Atlassian Intelligence (Rovo) – A layer of AI that ties the above tools together. Rovo agents provide insights and automation across Jira and Confluence, leveraging information from Loom recordings and more. It ensures that knowledge from one tool (say, a Confluence requirement page or a Loom meeting recap) is readily available in others (like Jira tickets).

Teamwork Collection represents Atlassian’s “all-in-one” approach to teamwork. It simplifies purchasing (one subscription for multiple tools) and promises a more unified experience. For teams, this means less time switching between disparate apps and more time getting work done with everything in one place. Atlas Bench, as a Solution Partner, can help organizations understand if this new bundle makes sense for their environment and how to take full advantage of it.

Interested in learning more? Contact Atlas Bench to book a complimentary consultation with our Certified Atlassian Experts.