Atlassian has unveiled Rovo, its latest AI-driven knowledge tool designed to serve as a comprehensive knowledge model for businesses. Described as a superpower every team member deserves, Rovo made its debut on May 1, 2024, at the Atlassian Team ’24 conference in Las Vegas. This AI-powered search tool aims to streamline data aggregation from both first and third-party tools, making information access more convenient for enterprises.
A recent study by Gartner indicates that 47% of digital workers struggle to locate the information or data necessary for effective job performance. This challenge stems from data fragmentation across various applications such as cloud storage, email, Slack, Jira, Confluence, Trello, among others. Particularly in large enterprises with over 2000 employees, the use of more than 230 apps exacerbates the problem, leading to increased difficulty in finding pertinent information.
How Rovo Simplifies Information Access:
Imagine effortlessly finding precisely what you need, understanding its relevance to your role, and knowing how to proceed—all without the hassle of navigating multiple applications. Atlassian Rovo addresses this issue by enabling employees not only to find the right data but also to learn from it and take action.
Powered by Atlassian Intelligence, Rovo consists of three main components, each capable of functioning independently but forming a collaborative loop when combined. This collaboration loop enhances knowledge discovery and facilitates action without the need to switch between applications.
Rovo aids teams in creatively interacting with corporate information by comprehensively understanding the company’s knowledge, people, processes, goals, and more. It fosters collaborative learning for improved understanding while assisting teams in information retrieval.
The Three Components of Atlassian Rovo are:
- Find: Search for contextual and relevant results within the Atlassian experience, spanning data, tools, and platforms, including third-party applications and eventually, in-house systems.
- Learn: Utilize knowledge cards, AI chat for deeper data exploration, and AI-driven insights to gain a better understanding of company data.
- Act: Integrate specialized agents into workflows to manage labor-intensive tasks, complete projects, and assist in resolving complex problems.
Rovo Search Mechanics:
- Extract practical insights from all your content, identifying team members with relevant expertise or researching specific topics for deeper project understanding.
- Rovo Search can pull data from popular tools like GitHub, Slack, Microsoft Teams, Google Drive, Microsoft Sharepoint, and Figma for more detailed responses.
- Integrate custom and industry-specific apps using Rovo’s API, catering to diverse business needs.
- Ensure contextual and personalized search results with enterprise-level permissions, strictly adhering to access rights and confidentiality.
Introducing Rovo Agents:
Atlassian introduces Rovo Agents, virtual teammates designed to enhance workflow efficiency. These agents synthesize enterprise data, tackle complex tasks, learn as they operate, and collaborate with human teammates to make critical decisions. Unlike conventional chatbots, Rovo Agents bring specialized knowledge and skills to various workflows and processes.
Accessing Rovo:
According to Sherif Mansour, Atlassian’s distinguished product manager and head of Atlassian Intelligence, not all components are fully operational yet.
