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Atlassian Launches Rovo AI: Revolutionizing Team Productivity

Getint
Getint
11 Jan 2025
5 min

At the Team '24 Europe event in Barcelona today, Atlassian introduced Rovo AI, its AI-powered teammate, to the public. Atlassian customers can leverage Rovo AI to enhance functionality, utilizing its advanced AI-powered search and chat capabilities and automation tools to boost productivity in applications like Jira and Confluence. Integrating Rovo AI within Atlassian's products significantly improves user project and communication management.

What is Atlassian Rovo?

Atlassian Rovo is an AI-powered tool designed to help teams unlock their enterprise knowledge and turn information into action. Powered by Atlassian Intelligence, Rovo accelerates the process of finding, learning, and acting on information dispersed across a range of internal tools. With its proprietary common data model called the "teamwork graph" Rovo AI provides a comprehensive view of an organization's goals, knowledge, teams, and work. This innovative tool is part of the Atlassian Intelligence ecosystem, aiming to boost workplace productivity and efficiency.

Rovo Search: Connecting Atlassian and Third-Party Tools

At the core of Rovo is Rovo Search, a powerful tool that integrates various types of business data from Atlassian products and third-party SaaS applications. Atlassian's head of product for Atlassian Intelligence, Jamil Valliani, revealed that Rovo Search currently supports services like Slack, Figma, Google Drive, and GitHub, with plans to add around 80 connectors in the coming months. With more data connections, users will be able to create a greater number of AI agents, enhancing Rovo Search's capabilities. This allows users to search and interact with data across various platforms seamlessly.

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Expanding Rovo's Reach with Rovo Chat and Browser Extension

Users can now harness the power of Rovo Chat to ask detailed questions about their data, further boosting productivity. An AI agent can perform tasks autonomously, assisting users by generating code recommendations and plans, and triggering actions based on specific inputs. The newly introduced Rovo browser extension expands this experience by enabling users to interact with Rovo's chat on any website, making it a versatile and empowering tool.

rovo ai developer tools
Atlassian

Personalized Search with Social Signals

Rovo Search also introduces social signals, improving search result rankings based on a team's collaboration history. This personalization ensures that users feel understood, gets more relevant results based on who they typically work with, and streamlines information retrieval.

Rovo Agents: Automating Routine Tasks

One of Rovo's standout features is its AI-powered agents, which automate routine tasks such as drafting release notes or generating bug reports. However, managing Jira tickets can introduce potential vulnerabilities and data security concerns, as sensitive internal issues may be accessed without authorization. Currently, there are 20 pre-built agents available, including a translator, an OKR generator, and even a trivia host. Businesses can also create custom agents to meet their needs, allowing further workflow automation and flexibility.

Unlocking Enterprise Knowledge

Atlassian Rovo is specifically designed to address the challenges of information silos in large companies. With the average company using over 230 apps, valuable knowledge often gets trapped, making it difficult for employees to find the information they need to perform their jobs effectively. Rovo's AI-powered search engine, Rovo Search, surfaces the most contextual and relevant results, no matter where the data is stored or the format it takes. This enables teams to find answers faster and make informed decisions, breaking down barriers to information access and enhancing overall productivity.

Atlassian

Expanding Agent Capabilities Through Partnerships

Atlassian plans to expand its agent capabilities by collaborating with partners like Appfire, Usertesting, Onward, and Zapier. These partnerships will make the agents even more versatile, enabling users to automate various tasks.

Rovo for Non-Atlassian Users

Rovo's AI functionality isn't limited to Atlassian users. Recognizing that not all team members use Atlassian products, the company has made Rovo and Rovo Search accessible to non-Atlassian users at no additional cost, broadening its appeal and utility.

AI Tools for Developers and Project Managers

Beyond Rovo, Atlassian is introducing additional AI features to assist developers and project managers. Developers and project managers can access these tools through the Atlassian Marketplace, a dedicated website for downloading plug-ins for various Atlassian products. These tools automate time-consuming tasks such as generating code recommendations and pull requests within Jira. The new AutoDev agent helps developers identify and address issues like configuration changes or crashes, keeping them focused on more critical tasks.

Improving Pull Request Reviews with AI

Another AI-powered tool will enhance the speed and effectiveness of pull request reviews. Automatically analyzing code provides suggestions for improvements, making the review process faster and more efficient, regardless of the code management tool.

Benefits of Using Rovo AI

The benefits of using Atlassian Rovo are numerous. With Rovo, teams can:

  • Accelerate finding, learning, and acting on information
  • Unlock enterprise knowledge and turn it into action
  • Improve productivity and efficiency
  • Enhance collaboration and teamwork
  • Make informed decisions with accurate and relevant information
  • Automate routine and repetitive tasks with Rovo Agents

By leveraging these capabilities, teams can streamline their workflows, reduce time-consuming tasks, and focus on what truly matters—driving innovation and achieving their goals.

Conclusion:

With the launch of Rovo AI and its suite of new AI-driven tools, Atlassian is redefining how teams manage workflows and tackle challenges. These innovations promise to transform productivity, making AI-powered automation a central part of modern work environments across industries.

Rovo AI development aligns with Getint's mission to improve workflows and create a friendly environment for managing teams, making it a perfect match for businesses seeking to enhance efficiency. We are here to ensure businesses can streamline operations and foster better team management.

Stay tuned for more updates from Getint and Atlassian Team '24!

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What is Atlassian Rovo AI and what does it do?

Atlassian Rovo is an AI-powered teammate designed to unlock enterprise knowledge by connecting data across Atlassian products and third-party tools. It uses advanced AI search, chat, and automation capabilities to help teams find, learn, and act on information quickly and efficiently, boosting productivity and collaboration.

How does Rovo AI enhance search and knowledge discovery?

Rovo Search leverages a proprietary "teamwork graph" to deliver personalized, contextualized search results across multiple platforms like Jira, Confluence, Slack, Google Drive, GitHub, and more. It respects user permissions, prioritizes relevant information based on collaboration history, and dynamically updates results as new data arrives.

What are Rovo Agents and how do they help teams?

Rovo Agents are AI-powered automation tools that perform routine tasks such as drafting release notes, generating bug reports, or translating documents into Jira tasks. Users can choose from pre-built agents or create custom ones to automate workflows, saving time and reducing manual effort while maintaining control over task creation.

Can non-Atlassian users access Rovo AI?

Yes, Atlassian has made Rovo and Rovo Search available to non-Atlassian users at no additional cost, broadening its utility beyond Atlassian customers and enabling wider organizational adoption.

What additional AI tools does Atlassian offer for developers and project managers?

Beyond Rovo, Atlassian provides AI-powered tools through its Marketplace that assist with code recommendations, pull request reviews, and issue detection. These tools automate time-consuming tasks, enhance code quality, and help developers and project managers focus on critical work.

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