What Is Atlassian Rovo?

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Atlassian Rovo

Atlassian Rovo is a generative AI-powered knowledge discovery tool designed to help enterprise teams find information faster, understand it in context, and take action - all within their existing workflows. It is the latest evolution in Atlassian’s AI offerings, powered by Atlassian Intelligence​, and represents a major step forward in human-AI collaboration. Rovo addresses a critical challenge in modern organizations: valuable knowledge is often scattered across dozens (even hundreds) of apps and platforms, making it hard for employees to locate and use the information they need.

The Challenge of Enterprise Knowledge Silos

Modern enterprises run on a vast array of tools. In fact, 47% of digital workers struggle to find the information they need to do their jobs​. Large companies use an average of over 230 different applications​, from project trackers and documentation wikis to chat apps and file storage. Important data gets trapped in these information silos, costing time and productivity. How often have team members had to hunt through multiple systems or ask around just to locate a document or an expert on a topic?

Atlassian Rovo was created to solve this problem by breaking down silos and unifying organizational knowledge. Imagine having a single, intelligent interface that can not only search across all your company’s tools, but also understand the context of your question, provide a consolidated answer, and even help you act on that information. That’s exactly what Rovo aims to do.

Atlassian Rovo in a Nutshell

Atlassian Rovo is an AI-driven platform that helps you “find, learn, and act” on enterprise knowledge​. In simple terms, it works like a smart assistant integrated into your Atlassian environment:

• Find: Rovo provides a unified search experience across Atlassian products (like Jira, Confluence, Atlas) and connected third-party apps (such as Google Drive, Slack, Microsoft 365, and many others). With one query, you get contextual, relevant results from all your data sources​. No more switching between tools – Rovo Search surfaces what you need in seconds, whether it’s a Jira issue, a Confluence page, a Slack thread, or a file on SharePoint.
  
  
• Learn: Rovo helps you understand information in context. It uses AI to give deeper insights – for example, by summarizing a document, explaining an acronym, or showing related knowledge. Rovo presents knowledge cards (info-rich snippets on people, projects, terminology, etc.) and offers an AI chat interface for interactive exploration​. In other words, it not only finds data, it teaches you what that data means for your work.
  
  
• Act: Rovo enables you to take action on knowledge through Rovo Agents, which are like virtual teammates that can perform tasks or automate workflows. Instead of just retrieving information, Rovo can help you complete projects and solve problems by executing commands (with your approval) – for instance, updating a Jira ticket, drafting content in Confluence, or kicking off a routine process​. These AI-driven agents collaborate with you to handle time-consuming tasks, so you can focus on higher-level decision-making.
  
  

At its core, Rovo transforms disparate information into actionable insights. It’s all about turning “knowledge into action in a heartbeat”​. This vision is backed by Atlassian’s two decades of experience understanding how teams work. Atlassian has poured that knowledge into a proprietary common data model called the “teamwork graph”​. The teamwork graph connects data from all your Atlassian tools and any third-party connectors you enable, building a comprehensive map of your organization’s knowledge, people, projects, and relationships. As you connect more sources and use Rovo more, this graph gets richer, enabling Rovo to deliver even more relevant results over time​.

Key Components of Rovo

Let’s break down the primary components and features that make up Atlassian Rovo:

Rovo Search – Unified, Contextual Enterprise Search

Rovo Search provides a unified interface to query all your content. In this example, a search query returns relevant results from various sources (Jira, Confluence, Google Drive, etc.), with options to filter by source on the right.​

Atlassian Rovo comes with a powerful AI-powered search engine that spans across all connected systems. Rovo Search gives you a single interface to get results from Atlassian products and third-party apps​. No matter where your data lives or what format it’s in, Rovo can index and retrieve it. For example, a single search could pull up a related Confluence page, a pertinent Jira ticket, a relevant Google Drive document, and a mention from Slack – all in one consolidated results page.

How is Rovo Search different from a normal search? First, it understands natural language queries. You can ask questions the way you’d ask a colleague. For instance, you might type “What is the status of Project Phoenix?” or “Show me the design specs for the mobile app,” and Rovo will parse the intent and give you the most relevant answer. It’s designed to return contextual, comprehensive results from across your enterprise systems​. If the information you need resides in a Jira issue, a Word document on OneDrive, or a conversation in Microsoft Teams, Rovo will find it and present it in context.

Crucially, Rovo Search respects all your existing permissions​. That means users will only see results from content they are authorized to access. A marketing employee’s search results might include a Confluence space they have access to, while excluding an HR project drive that they don’t have permission for, and so on. Enterprise-grade permission controls are fully enforced, so sensitive data remains protected and individuals only discover knowledge they’re meant to see​.

Rovo Search is also extensible via connectors. Atlassian provides dozens of built-in connectors so you can integrate popular SaaS applications and even custom data sources. By enabling connectors, you allow Rovo to index data from systems like Google Drive, Microsoft SharePoint, GitHub, Slack, Figma, ServiceNow, and many more​. The result is truly unified search across “all your selected SaaS apps, even custom in-house apps”​. For any niche or home-grown tools, Atlassian is developing APIs to let you plug those in as well​. This means Rovo can become your organization’s one-stop-search for knowledge - a single query bar that searches everything.

In summary, Rovo Search helps teams find answers faster by cutting across silos. Instead of spending 30 minutes looking in five different systems, an employee can spend 30 seconds asking Rovo, and get an answer that’s not only relevant but often enriched with additional context.

Rovo Chat – Interactive Q&A and Insights

While Search gives one-off results, Rovo Chat offers an interactive, conversational experience. It’s like chatting with a knowledgeable colleague who has read through all your company’s wikis, tickets, and documents. Rovo Chat allows you to ask questions and get help without disrupting your workflow​. You can open the Rovo Chat sidebar right inside Atlassian products (Jira, Confluence, Jira Service Management, etc.) or even in your browser via the Rovo extension​. This means you don’t have to leave what you’re doing – the AI comes to you, in context.

What makes Rovo Chat particularly powerful is context-awareness. Since it’s plugged into your content, it can give detailed, situation-specific answers. For example, you could ask, “What are the key takeaways from this document?” while viewing a Confluence page, and Rovo will read the page and summarize it for you​. Or, if you’re in Jira, you might ask, “What should I work on next?” – Rovo can analyze your assigned issues and priorities to intelligently suggest an answer​. It can also pull together information – like listing all Jira tickets assigned to you, or finding “the page that Jane Smith was writing for Project X”​.

Some examples of what you can do with Rovo Chat include:

• Get quick status updates: “What did I work on yesterday?” – Rovo can recap your recent activity.
  
  
• Content creation and editing: “Draft me a project status update page and include an FAQ section” – Rovo can generate a Confluence page outline for you​.
  
  
• Policy or knowledge questions: “How do I file an expense report?” or “What’s our travel meal allowance?” – Rovo can answer based on the policies it finds​.
  
  
• Find experts or history: “Who else worked on the Apollo project?” – Rovo can identify team members linked to that project from Jira or Confluence​.
  
  

All of this is done conversationally. You ask follow-up questions or refine your request, and Rovo Chat remembers the context. It even suggests follow-up questions to help you dig deeper or clarify, so you’re never at a dead end​. In essence, Rovo Chat lets you learn and explore your company’s knowledge base through dialogue, much like talking to an internal subject matter expert.

It’s important to note that Rovo Chat can also perform actions when you ask – for example, “Create a Jira ticket for this” after getting some info – but it will always ask for confirmation before executing any changes on your behalf​. This ensures you stay in control. (We’ll talk more about actions and Agents in a moment.)

By being available “anywhere” (inside Atlassian products and via a browser extension), Rovo Chat helps users get help at the point of need​. You don’t have to jump between apps or copy-paste data; the AI assistant is right in your workflow. The result is less context-switching and faster decision-making.

Rovo Agents – AI Teammates for Action and Automation

Beyond searching and chatting, one of Rovo’s most transformative features is the introduction of Rovo Agents. A Rovo Agent is essentially a configurable AI teammate that you can call upon to assist with specialized tasks​. Whereas Chat is about Q&A, an Agent can actually do work on your behalf (with guidance and permission).

Think of Rovo Agents as virtual team members with specific skills. For example, imagine a “Release Notes Drafter” agent that knows how to gather all the issues completed in a version and draft release notes, or an “Onboarding Buddy” agent that can answer a new hire’s questions and help set up accounts. These aren’t just futuristic ideas – Atlassian is shipping over 20 out-of-the-box Agents with Rovo, each designed for common enterprise use cases​. (And you can create custom ones too.)

What can Agents do? According to Atlassian, Rovo Agents can “generate, review, and refine content,” “automate and streamline tasks,” “answer questions and recommend best practices,” “integrate knowledge into Jira or Confluence,” and generally handle a lot of repetitive or complex tasks​. For instance, an agent could help clean up your Jira backlog, organize Confluence pages, draft a project plan, or ensure content follows certain standards. They can even facilitate softer tasks like onboarding new employees or fostering team engagement​.

Here are a few concrete examples of Rovo Agents in action:

• Content Creator Agents: e.g. a Comms Crafter that can draft and polish marketing emails or announcements, or a Product Requirements Guide that helps product managers write better PRDs by following best practices.
  
  
• Project Management Agents: e.g. an OKR Generator that formulates Objectives and Key Results based on your inputs, or a Decision Director that assists in decision logs and capturing rationale.
  
  
• IT and Support Agents: e.g. an Ops Guide that can walk IT teams through incident resolution steps, or a Service Request Helper that triages support tickets.
  
  
• Development Workflow Agents: e.g. an Issue Organizer that can auto-sort or tag Jira issues, a Bug Report Assistant that helps engineers fill in all necessary info for bug tickets, or a Readiness Checker ensuring a task meets all criteria before closing.
  
  

Many of these come built-in. Atlassian’s goal is to have an Agent “for that” – much like there’s an app for everything – which you can discover on the Atlassian Marketplace​. From day one, you can start using these pre-made Agents as soon as you have Rovo enabled​.

Even more powerfully, you can create your own custom Rovo Agents tailored to your organization’s needs. Rovo provides a no-code interface for configuring Agents – you can define an Agent’s instructions (its “prompt”), what knowledge sources it should use, and what actions it can take. For developers who want deeper customization, Atlassian also allows building Agents via their Forge platform (with the rovo:agent module) to script more complex logic​. This means a development team could program an Agent that, say, interfaces with an internal database or performs a multi-step workflow unique to their business.

How do you use a Rovo Agent? Agents can be accessed in a few ways:

• In Rovo Chat, you can explicitly invoke an Agent. For example, you might switch to a specific Agent persona in the chat to handle a certain query (Atlassian provides an interface to browse and select Agents)​. You can then have a conversation with that Agent about its domain (like asking the “Ops Guide” agent about on-call procedures).
  
  
• In Automation (Jira or Confluence automation rules), you can configure triggers that call an Agent. Some Agents are designed to run automatically when conditions are met – for instance, the Blocker Checker Agent might run whenever a critical issue is created, to immediately assess if related work is blocked​.
  
  
• In editor experiences, such as Confluence, typing "/ai" can summon an Agent while you’re editing content​. This is useful if, for example, you want an Agent’s help to rewrite a section or generate content as you compose a document.
  
  

Crucially, Rovo Agents are built with accountability and governance in mind. Admins have control over which Agents are enabled for their organization and can manage permissions for who can create or use them​. Agents always keep humans in the loop – whenever an Agent is about to perform a potentially permanent action (like editing a page or creating an issue), it will ask the user for confirmation​ (except in the case of pre-approved automation rules). This ensures that you’re always aware of what the Agent is doing and can intervene if needed. Atlassian emphasizes that Agents are teammates, not unsupervised bots – they report back on their steps so you remain in the driver’s seat​.

By integrating Rovo Agents, teams can supercharge their workflows. Routine tasks can be delegated to AI, saving time and reducing human error. Complex tasks can be tackled with AI assistance, providing suggestions or even taking first passes at work that humans then refine. It’s a collaborative model: the Agent does the heavy lifting of sifting data or drafting content, and the human adds judgment and final approval. The end result is faster project completion and happier teams that can focus more on creative and strategic work.

Security, Privacy, and Trust in Rovo

When introducing any AI that has access to your organization’s knowledge, security and privacy are paramount. Atlassian has built Rovo with enterprise-grade safeguards so that IT leaders can trust it with their data:

• Permission Model: As mentioned, Rovo strictly honors the permission schemes of each connected product​. If a user doesn’t have access to a document or project, Rovo won’t surface it for them. This inheritance of existing access controls means you don’t have to set up a new permission system – Rovo syncs with what’s already in place across Jira, Confluence, and other connectors.
  
  
• Data Handling: Rovo indexes content from your connected sources to be able to search quickly, but it does not expose that content beyond authorized users. If data is deleted or permissions change, Rovo updates its index accordingly (e.g., removing a file that was deleted from Google Drive from future search results)​. Atlassian clarifies that if an admin disconnects a third-party source, the indexed content is deleted from Rovo within 30 days​.
  
  
• Third-Party Integrations: When connecting third-party apps via Rovo’s connectors, Atlassian advises reviewing what data you’ll be bringing in and ensuring it aligns with your internal policies​. The data from those apps will be accessible within Rovo, and usage of that data might be subject to the third-party’s terms. (For example, if you use a Marketplace app that provides an Agent, you should be aware of that vendor’s privacy policy​) In short, Rovo extends your data ecosystem, so due diligence is encouraged when plugging in new sources.
  
  
• Data Privacy and AI Models: A big concern with generative AI is whether your data is sent to external AI providers and used to train models. Atlassian has made it clear that Rovo uses a mix of OpenAI and open-source LLMs, but no providers (including OpenAI) retain your inputs or outputs from Rovo​. Your prompts and the AI’s answers are not used to improve OpenAI’s models – they’re ephemeral. Atlassian either uses the models in a way that your data isn’t saved, or they use self-hosted models (like Llama) within their infrastructure for added control. This is an important point for privacy: your company’s sensitive information isn’t feeding someone else’s AI.
  
  
• Compliance: Atlassian Rovo and Atlassian Intelligence have already completed SOC 2 and ISO 27001 compliance certifications​, meaning they have passed rigorous external audits for security controls. While at launch Rovo didn’t support data residency (regional data storage) or HIPAA, Atlassian notes plans to support data residency in the future and advises healthcare organizations to hold off if they require HIPAA compliance​. For most enterprises, the SOC2/ISO compliance is a strong indicator that Rovo meets high standards for handling data securely.
  
  
• Acceptable Use and Ethical AI: Atlassian reminds users that Rovo should be used in line with the company’s acceptable use policy​. They also reference their responsible technology principles – indicating a commitment to ethical AI deployment. Practically, this means there are likely guardrails to prevent misuse of Rovo (for example, it shouldn’t be used to generate disallowed content or to violate privacy).

For IT decision-makers, these measures show that Atlassian is serious about making Rovo enterprise-ready from day one. You get the benefits of AI on your proprietary data without sacrificing control or security. Admins will also gain monitoring tools for Rovo usage – Atlassian has indicated that as Rovo usage grows, admins will be able to track consumption and manage it (especially important when usage-based billing comes into play)​.

Getting Started with Rovo

Atlassian Rovo is offered as a cloud product in the Atlassian suite. If you’re an Atlassian Cloud customer (using Jira, Confluence, etc.), you can enable Rovo for your organization (contact your Atlassian site admin or sales representative for access if it’s not already in your instance). Atlassian initially rolled out Rovo via a waitlist and early access program​, but as of 2025 it is becoming generally available to customers. Many teams are already exploring it to boost their productivity.

There are usage quotas in place to ensure fair and optimal performance as Rovo scales. Currently, each organization’s Rovo license includes two key quota metrics​:

• Indexed objects: This is the number of individual items (documents, issues, pages, messages, etc.) that Rovo can index from your connected content.
  
  
• AI credits: This counts how many questions/queries users ask Rovo via Search or Chat, and how many times Agents are invoked.

Reference from documentation on usage quotas of AI credits & Indexed objects

https://support.atlassian.com/rovo/docs/rovo-usage-limits

Edition	App/Collection	Indexed objects (per user)	AI credits (per user per month)
Premium	Jira	50	70
	Confluence	50	70
	Jira Service Management	50	70
	Teamwork Collection	500	700
Enterprise	Jira	125	150
	Confluence	125	150
	Jira Service Management	125	150
	Teamwork Collection	1,250	1,500

For now, these quotas are within Atlassian’s acceptable use policy and most teams won’t exceed them under normal use. Atlassian has signaled that in the future, if you go beyond the included quota, Rovo may switch to a consumption-based model where you can purchase additional capacity​. They plan to provide admins with usage dashboards and controls before any such model kicks in, ensuring you can monitor and manage how Rovo is being used​. This approach is similar to how other cloud services handle heavy usage and is something to keep an eye on as your Rovo adoption grows.

From a practical standpoint, end-users access Rovo directly in the tools they use every day. Once enabled, you’ll notice a “Rovo” or “Chat” button in the header of Jira, Confluence, and other Atlassian apps​. Clicking that opens the Rovo Chat sidebar where you can start interacting. Rovo’s search bar might also be integrated into the main search UI of Atlassian (for example, replacing or augmenting the default Confluence search). Additionally, users can install the Rovo browser extension for Chrome or other browsers​, which allows querying Rovo from anywhere on the web and even overlaying Rovo on any webpage to get context (for instance, summarizing a page you’re reading).

Finally, internal champions and developers should explore the Rovo documentation and Atlassian Community for best practices. Atlassian provides guides on administering Rovo (for org admins)​, setting up connectors, and tutorials for creating custom Agents. There’s also an active community sharing tips – for instance, how to fine-tune knowledge sources for an Agent or how to leverage Rovo for specific departmental needs.

Conclusion

Atlassian Rovo is poised to become a game-changer for enterprises looking to harness their collective knowledge. By combining advanced AI with Atlassian’s deep collaboration platform, Rovo delivers a trifecta: a universal search bar for all enterprise knowledge, an intelligent chatbot that learns and assists in real-time, and powerful AI agents that can execute tasks and automate work. All of this operates under the safeguards and governance that companies require.

For enterprise IT leaders, Rovo presents an opportunity to improve knowledge management and employee productivity dramatically. It can reduce the time wasted on searching for information and break down long-standing data silos. Atlassian users will find Rovo enhances the Jira and Confluence experience they’re already familiar with, making those tools even smarter and more helpful in daily work. And for developers and technical teams, Rovo’s extensibility means you can craft AI solutions specific to your workflows - effectively building AI assistants for your team.

In a world where information is the new gold, tools like Atlassian Rovo are the mining equipment. They dig through the troves of data and surface exactly what you need, when you need it. The question for organizations is no longer “do we have the information to make this decision?” - it’s “how quickly can we retrieve and act on it?” With Atlassian Rovo, the answer might just be: in a heartbeat​.

Imagine every team member empowered with a personal assistant that knows your company’s systems inside-out. What new heights of productivity and innovation could your team achieve with that kind of superpower? Atlassian Rovo invites you to find out. Now that you know what Rovo is, the next step is to explore how it can unlock your enterprise knowledge and transform your teamwork.

Find more info here - https://www.atlassian.com/software/rovo/features

Team 25 annoucement on Rovo-for-all - https://www.atlassian.com/blog/announcements/team25-rovo-for-all

Thanks,
Pramodh

[Phil Shakhovskoy]

Thanks @Pramodh M for the write-up! Just a note on the quotas - the numbers/names aren't quite right as per our latest updates around TEAM'25 - I'll refer you to https://support.atlassian.com/rovo/docs/rovo-usage-limits/ to get the latest info.

Appreciate you taking the time! 

[Pramodh M]

Thank you @Phil Shakhovskoy 

I will update the numbers/names in the Article.

Thanks,
Pramodh