Explore how to use AI in Atlassian Cloud
Understand the basics of Rovo, Atlassian’s AI-powered offering in Cloud.Introduction
Rovo is Atlassian’s AI that connects knowledge, people, and workflows so teams can move faster. Rovo is included for all eligible Standard, Premium, and Enterprise plans of Jira, Confluence, Jira Service Management, and the Teamwork Collection of apps.
Explore our Rovo adoption guide
TIP: Check out the AI community group and take our Rovo Agent Workshops to learn more about how you can use AI, Rovo, and Rovo Agents.
Powered by the Teamwork Graph, Rovo delivers relevant answers and detailed insights driven by your team’s knowledge, while also protecting data privacy and security every step of the way. Data never leaves your Atlassian environment, and admins control which apps and connectors are enabled.
Admin controls
Admins can manage Rovo and AI-enabled app preferences from ‘AI settings’ in Atlassian Administration (‘Apps’ > ‘Platform experiences’ > ‘AI settings’).
Rovo
Here you can connect Rovo to your organization’s sites and activate Atlassian Intelligence for your enabled Atlassian apps. You can also configure which data sources Rovo can access, such as Jira, Confluence, and connected third-party data sources.
AI-enabled apps
While Rovo is the interface for AI-powered experiences across your Atlassian apps, you must enable AI in the admin settings to unlock the full suite of advanced features. In other words, Rovo is always available for eligible customers, but its intelligence becomes more powerful when you both connect your Atlassian apps to Rovo (so it can use their data to search information, answer questions, and power agents) and turn on AI features like public web search.
Select which Atlassian apps can be accessed by Rovo and AI features. This allows you to tailor the AI experience to your organization’s needs and compliance requirements. Admins can also:
- Enable beta features for each app, giving teams early access to new AI capabilities.
- Enable web searches, allowing Rovo to surface public web information alongside your internal content.
Rovo MCP Server
- Automatically connect to AI tools that Atlassian partners with. You can block supported domains if you do not want them to access your Atlassian apps.
- Add and manage your own trusted domains to authorize access to the Rovo MCP server.
TIP: Changes made in AI Settings take effect immediately for all users in your organization. Review these settings regularly to ensure your Rovo and AI features align with your security and privacy policies.
Rovo apps
Rovo is made up of different experiences, including Search, Chat, Studio, and a growing set of Agents. Each is uniquely designed to help your teams work smarter, move faster, and break down silos.
- Rovo Search: Find relevant information quickly and efficiently across your Atlassian apps and connected third-party SaaS apps.
- Rovo Chat: Uncover personalized insights, get relevant answers, and take action through a conversational interface.
- Rovo Studio: Quickly create custom agents, build automations, model digital and physical assets, curate content hubs, and build Forge apps, with or without code.
- Rovo Agents: Create custom agents to map to every type of workflow by adding unique knowledge, skills, and popular external tools, including MCP servers, that fit your teams' needs.
Rovo Search
Rovo Search is your centralized interface for discovering relevant information across your Atlassian apps and connected third-party data sources. You can access Rovo Search:
- At the top of your Atlassian apps
- In the app switcher
- Through Rovo’s browser extension, where the Rovo Search bar is displayed each time you open a new browser tab.
Using Rovo Search is simple. Just type your prompt into the search bar in plain language, and Rovo indexes your connected data to generate contextualized, smart answers. You can also filter your results by last updated, type, and contributor to find the exact information you need.
Relevant information, insights, citations, and historical prompts are displayed in the Knowledge Card directly in the search interface. If you find something important or frequently referenced, you can use Bookmarks to save those results for quick access later.
Use cases
- Quickly find Jira work items, Confluence pages, and information from third-party apps without switching tools.
- Get instant answers to “how-to” questions or policy lookups.
- Bookmark onboarding materials or key resources for new team members.
TIP: Use these search prompts for optimal search results and answers.
Rovo Chat
Rovo Chat is your conversational AI interface where you can ask questions, brainstorm, get personalized insights, speed up learning, and take action faster using your organization’s knowledge. You can access Rovo Chat in several ways:
- In the top navigation bar near your profile icon
- In the app switcher
- Through Rovo’s browser extension in the center of each new browser tab
Open the chat interface and type your question or select a suggested conversation starter. Rovo Chat responds with personalized, actionable insights and can suggest follow-up prompts or actions to keep the conversation going. You can also take direct actions right from the chat window, such as assigning Jira work items, generating Confluence pages, visualizing data, and identifying incident root causes.
For more complex needs, Deep Research allows you to request comprehensive reports that synthesize information from Atlassian apps, connected third-party data sources, and, if ‘web search’ is toggled on in Administration, the public web!
Use cases
- Onboard new users by answering “how do I…” questions or summarizing lengthy Confluence pages.
- Create Jira tickets or Confluence pages.
- Dig deeper into topics or company knowledge with Deep Research and in-line definitions.
TIP: Use these chat prompts for optimal search results and answers.
Rovo Studio
Rovo Studio is your no-code/low-code builder for creating custom AI agents, automations, hubs, assets, and more. You can access Rovo Studio directly from the app switcher.
To get started, describe what you want to build using natural language. Studio guides you through creating custom agents, automation rules, company hubs, and assets. You can add unique knowledge, actions, and integrations to your agents, set up automations that trigger processes across your apps, and centralize resources in dynamic hubs. Assets can be linked to Jira Service Management and other Atlassian apps to accelerate service delivery.
Use cases
- Automate routine processes as a non-technical user.
- Build custom agents for business teams like HR, Finance, and Marketing.
- Centralize onboarding resources or project documentation in a Hub.
TIP: Permissions for Rovo Studio features vary by role. Creating Company Hubs, Virtual Service Agents, or automation rules requires space, site, or organization admin permissions. Creating Jira Assets requires the Assets Admin role. All admin and user roles can build and configure Rovo Agents.
Rovo Agents
Rovo Agents are specialized AI assistants that enhance team productivity by collaborating in real-time with users and other agents. You can access Rovo Agents in several ways:
- Within the Rovo Chat interface
- In the Confluence or Jira editor by typing the shortcut/ai
- Through Rovo’s browser extension via the Rovo Chat interface
Rovo offers a range of built-in agents that integrate seamlessly into your team’s workflows. You can also extend your capabilities with Marketplace partners (installed by admins) or create custom agents using Rovo Studio.
To get started, clarify your objective and find the right agent for your needs. Each agent has a profile that details its creator, instructions, knowledge sources, available actions (called ‘Skills’), and conversation starters.
- Instructions define the agent’s behavior and functionality.
- Knowledge is the information that you provide to an agent to improve the accuracy and helpfulness of its responses.
- Skills allow the agent to perform tasks on your behalf.
- Conversation starters are suggested prompts or questions that help you start a conversation.
After creating an agent, start a conversation with a prompt and start executing actions. Once you’re familiar with how they work, set up some automations to save time. If your agent proves to be high value, favorite it for later or share it with colleagues who would also benefit.
Use cases
- Automate repetitive tasks like ticket triaging, content drafting and reviews, and code analysis.
- Get workflow guidance and process recommendations.
- Accelerate incident response and change management.
TIP: Explore out-of-the-box agents and use Marketplace to discover agents that can accelerate your team’s work.