In a recent presentation to our clients, Atlassian unveiled major enhancements to Rovo, the AI teammate that's transforming how we work. This intelligent assistant was already beloved by millions of users, but it just leveled up in a big way. Rovo now plugs into every application your teams use, understands your company's unique context, and shows up wherever work is happening. The result? A connected, smarter workday where knowledge flows freely and tasks practically complete themselves.
Why does this matter? Many organizations have tried implementing AI, yet about 96% say they haven't seen true transformation from those efforts. Fragmented data and siloed systems often hold them back. Rovo takes a different approach. By deeply integrating with the tools and information you rely on, it breaks down silos and puts your entire organization's knowledge at everyone's fingertips. Let's reintroduce Rovo and explore how it connects every app, every team, and every workflow in your business.
Rovo isn't just one tool; it's an entire AI-powered platform woven throughout Atlassian's ecosystem and beyond. Here are Rovo's core components and what they bring to the table:
Enterprise Search: Instantly find answers across all your company's apps and data. Rovo Search acts like a unified brain for your organization, so you can retrieve documents, tickets, designs, and discussions with a simple query instead of digging through multiple systems.
Intelligent Chat: An AI chat assistant that's always available to brainstorm ideas, answer questions, and even take action, all based on your company's knowledge. Rovo Chat isn't a generic chatbot; it's armed with context from your projects and teams, ready to help plan, research, or create alongside you.
Rovo Studio: A powerhouse toolkit for building custom AI "agents", automations, content hubs, and even full applications using natural language. In Rovo Studio, you can create no-code solutions tailored to your team's needs, from automating routine tasks to designing AI workflows that fit your business processes.
Integrated AI Agents: Purpose-built capabilities that embed directly into where work happens, whether it's Jira, Confluence, service desks, or other apps. These agents can handle specific tasks and processes automatically, keeping projects moving forward without you having to switch context or chase down information.
All these capabilities are seamlessly embedded across Atlassian applications and can even connect into your other favorite tools. Under the hood, everything is powered by Atlassian’s ever-learning Teamwork Graph, which maps the relationships between people, projects, and knowledge in your organization. In practical terms, that means every suggestion Rovo makes and every action it takes is informed by real context. It feels tailored and relevant, as if a teammate who knows your work inside-out is lending a hand.
Teamwork doesn't live in a single application, and neither does Rovo. One of Rovo's greatest strengths is that it meets you wherever you and your colleagues are working, across different apps, devices, and workflows. Within Atlassian’s ecosystem, Rovo is already built into core cloud products like Jira, Confluence, and Jira Service Management, and it's expanding into even more Atlassian offerings such as Atlas, Bitbucket, Trello, and Jira Product Discovery. In other words, almost every Atlassian tool your team uses will have Rovo on hand, ensuring that every group benefits from AI assistance. Work often spans beyond Atlassian's suite of products, so Atlassian is also making Rovo available on any device and in any context. Rovo Desktop and Rovo Mobile apps (coming soon) will keep your AI teammate accessible whether you're at your desk or on the go. You'll be able to tap Rovo for help during a walk between meetings or on your commute home as inspiration strikes. In addition, a new browser extension brings Rovo’s capabilities into your other favorite tools. From Google Workspace and Microsoft 365 to design platforms and chat apps, Rovo's assistance is just a click away, no matter what software you're using. Crucially, Rovo is for everyone, not just technical teams. Atlassian recently rolled it out to all Atlassian Cloud customers on paid plans at no extra cost, and usage promptly more than doubled. And even if your organization doesn’t use Atlassian products yet, Atlassian plans to offer Rovo as a standalone AI assistant for a low per-user fee extending its benefits to any team. By dissolving silos and meeting people wherever they work, Rovo turns scattered tasks and information into coordinated, real outcomes for all parts of the business.
We’ve all wasted time hunting for information that's spread across different platforms. Rovo Search eliminates that problem by indexing and understanding content from across your company, so you can get relevant answers in seconds. It’s one of the most powerful and widely used enterprise search engines in the world, and it keeps getting better:
Blazing Fast, Incredibly Relevant: Search results with Rovo are remarkably accurate. In fact, 78% of surveyed users said Rovo Search gives them more precise answers than other tools. Atlassian’s continual improvements have boosted search performance by 35% and relevance by 20% in recent months, shaving valuable time off every query. For your team, that means quicker decisions and less time spent digging around for the right information.
A Unified Knowledge Hub: Rovo connects with over 50 popular apps and data sources. It can pull content from Google Drive, SharePoint, OneDrive, Figma, GitHub, Slack, Microsoft Teams, and many more into a single search. Everything is ranked by what's most relevant to you, guided by how you and your colleagues actually work. And if there's a system you rely on that isn't covered yet, you can even build your own connector using Atlassian’s Forge platform or find community-built integrations on the Atlassian Marketplace.
Now the Heart of Jira’s Search: A huge change is on the horizon: Rovo will soon become the default search experience in Jira Cloud. Click into Jira’s search bar and Rovo will proactively suggest relevant issues, projects, or even related documents from other apps. It understands whether you’re likely looking for an engineering ticket, a design file, or a marketing doc, and brings the best answer directly to you. By early next year, every Jira Cloud user will have this AI-powered search at their fingertips, seamlessly blending data from Jira and beyond.
To put it simply, Rovo Search is redefining how teams access knowledge. Instead of being stuck in silos, all those years of collective know-how become instantly searchable. One IT leader described it as putting a "vast repository of knowledge at every employee's fingertips," which led to faster insights than ever before. When your company’s memory is searchable like this, there’s less reinventing the wheel and more building on what’s already been learned.
If search is how you find knowledge, Rovo Chat is how you interact with it and put it to use. Built directly into Atlassian apps, Rovo Chat acts as your thinking partner ready to help draft content, analyze data, or brainstorm ideas using the context of your work. Users report that it helps them move work forward significantly faster, and it's easy to see why. Rovo Chat is accessible wherever you're working, whether you're in a Jira ticket, a Confluence page, or a chat channel. Need to outline a project plan? Ask Rovo Chat to generate a draft based on similar past projects. Stuck on a technical problem? Rovo can pull from documentation and experts' notes to suggest solutions. It's like having a colleague who's an expert in everything your company has done.
Recently, Atlassian supercharged Rovo Chat with some powerful new capabilities. One major addition is Canvas, a collaborative workspace inside the chat. Think of it as a shared scratch pad where you and Rovo can develop ideas together. You might outline a project strategy or sketch a plan, and then have Rovo fill in the details, move things around on the Canvas, or even invite a teammate to contribute all without switching apps. It's a seamless way to brainstorm with AI in the loop. Rovo Chat also gained a personal memory. Now the assistant remembers context from your past conversations and your preferences. If you discussed a project with Rovo last week, it can recall that context today and tailor its answers accordingly. Over time, Rovo adapts to your role and style, remembering, for example, that you prefer answers in bullet points or that you're focused on a particular client. The more you use it, the more personalized and helpful its responses become.
Another big upgrade is that Rovo Chat can take action through an expanding library of over 100 skills. These are pre-built capabilities from Atlassian and its partners that let Rovo do things on your behalf. For instance, directly within a chat you can ask Rovo to create a Jira issue, update a Confluence page, fetch data from a CRM, or run a query against code in Bitbucket. Instead of just giving advice, Rovo can execute tasks across your tools. And because Atlassian designed Rovo as an open ecosystem, new skills are being added by Atlassian and third parties all the time continually expanding what Rovo can do. It's hard not to be impressed by how much more you can get done with a helpful AI collaborator by your side. One early user noted that Rovo streamlined their workflows and automated tedious tasks, fitting perfectly into their team's needs, and as a result, productivity noticeably improved. When routine stuff gets handled by Rovo, your team is freed up to focus on the creative and complex parts of projects.
Every team is unique, and the way you use AI should be unique too. That's the idea behind Rovo Studio a no-code/low-code environment where anyone can create AI-driven workflows, agents, and even entire applications without needing to write code. In just six months since its release, Rovo Studio has seen incredible adoption. Millions of custom "agents" have been built, showcasing the endless possibilities when AI meets everyday work.
Teams have been using Rovo Studio to do things like create custom AI agents tailored to their department's needs, build automations that embed intelligence into routine processes, set up content hubs or knowledge bases powered by AI to keep everyone on the same page, and even model real-world objects like inventory, assets, or staffing plans so the AI understands their business environment.
Now Atlassian is making Rovo Studio even more powerful and easier to use, so you can scale your best ideas across the whole organization. New and upcoming enhancements include:
More Advanced, Multi-Skill Agents: Studio now allows you to design sophisticated scenarios and agents that combine multiple skills. For example, you could create an agent that onboards a new employee it pulls account info from one system, sends a welcome message in another, schedules training sessions, and answers the new hire's common questions. Thanks to a new framework called Model Context Protocol, or MCP, you'll soon be able to plug in skills from all sorts of external tools, from GitHub and Figma to Hubspot and Cloudflare, extending what your agents can do even further.
Fine-Grained Control and Monitoring: For organizations concerned about governance, Studio gives admins and creators deeper control over their AI creations. You can set detailed permissions on who can use or modify each agent, review conversation logs to see how an agent is interacting and refine its responses, run custom evaluations to test agents in real-world conditions, and view built-in analytics on usage and performance. There's also easy versioning and testing, so you can iterate on your agents safely before rolling them out widely.
Automations for Cross-Team Workflows: Rovo Studio now includes a beefed-up automation engine that can string together multiple agents and actions across teams. You can create multi-step workflows that branch based on conditions. For example, if a new sales lead is high value, the workflow can notify a manager; otherwise it just logs the lead. These automated flows can run for days or weeks, coordinating work across different departments hands-free, while still giving humans a say when needed through approval steps or notifications.
Build Full Apps in Natural Language: One of the most exciting things on the horizon is the ability to build entire applications in Rovo Studio just by describing what you need in plain English. Instead of writing code, you'll tell Rovo what you want. For instance, you might ask for an app that tracks team OKR progress and nudges owners if updates are late, and Studio will generate a working solution for you in minutes. These aren't toy apps, either; they run on Atlassian's secure Forge platform, meaning they're enterprise-ready with proper permissions and access to the Teamwork Graph data. You can embed these apps right where your teams work in Jira, Confluence, Bitbucket, and across 80+ Atlassian extension points.
The beauty of Rovo Studio is that it puts innovation in the hands of those who understand the problems best: your people. A product manager can build a custom AI agent to streamline product launches, or an HR lead can automate pieces of onboarding all without waiting for a developer or writing a single line of code. This democratization of AI means ideas can go from concept to reality faster, and solutions can be tailored perfectly to how your teams work.
Security and governance are top of mind for any enterprise adopting AI, and Atlassian built Rovo with these needs front and center. Rovo meets rigorous data protection standards, including GDPR compliance, and Atlassian is preparing it for new regulations like the EU AI Act. The AI features support data residency options too, so you can keep data within specific regions if required. To top it off, Rovo runs on Atlassian’s secure cloud infrastructure and is compliant with industry certifications such as ISO 27001 and SOC 2.
Administrators also have fine-grained control over how Rovo is used in their organization. They decide which users can access AI features and where those features appear. Every AI agent or automation can be managed through its entire lifecycle from creation and updates to retirement, ensuring nothing runs unchecked. Admins get visibility into usage and even ROI metrics, helping them monitor the impact of AI and guide its adoption. Importantly, admins can also control what data sources Rovo indexes or ignores, keeping sensitive information out of scope.
For those with strict confidentiality requirements, Atlassian now offers the option to run Rovo’s AI on Atlassian’s own large language models instead of third-party providers. In other words, your data stays within Atlassian’s cloud for processing, adding an extra layer of peace of mind. And soon Atlassian will introduce a "bring your own key" encryption capability, giving companies the ability to use their own encryption keys for Rovo’s data further strengthening data control.
It's clear that Rovo isn't just another shiny tech demo. It's changing how teams collaborate and get work done every day. By putting your company's knowledge at everyone's fingertips in seconds and turning scattered inputs into coordinated action, Rovo helps teams move faster and work smarter. And the best part? If you're on a paid Atlassian Cloud plan, you likely already have access to these AI features right now. No extra fees or complicated setup. It's just a new, more connected way to work, available everywhere your team is.
At Atlas Bench, we're excited about what this means for our clients. We believe harnessing Rovo can make your teams stronger, more efficient, and even happier by eliminating drudgery and unlocking collective knowledge.