After formalizing the launch of Rovo during Atlassian Team 24 Europe, there has been a growing interest in the uses this new artificial intelligence companion offers to current users of Atlassian Products and beyond. This blog post will explore the increasing list of uses Atlassian Rovo can do, focusing on the Rovo Agents, which promise to upgrade use cases in very specific situations.
As Rovo is not the same as Atlassian Intelligence, given the first one is a standalone product that works beyond Atlassian products, and Atlassian Intelligence enhances core product functionality. At the same time, Rovo amplifies productivity by extending capabilities across diverse tools and sites, boosting organizational efficiency, and bringing the best out of your current information within your systems.
Among the benefits customers are already reporting by using Rovo, they have stated that Rovo’s AI-driven capabilities make it a strong fit for enterprise teams. Whether they’re managing distributed teams or very complex projects, AI-powered automation saves time, improves cross-team communication, and enhances the flow of everyday tasks. It enables team members to prioritize meaningful tasks and make them focus on decision-making.
The use you give to the product will depend on your needs and your role. Rovo can help engineers save time by reducing issue analysis and minimizing context switching, or it can help team leaders quickly access multi-level information about complex projects.
To better understand this product, Rovo has been built considering, first, The Teamwork Graph, a framework rooted in two decades of studying organizational team collaboration, connecting all parts, and enriching Atlassian products. Rovo uses this foundation to streamline workflows and support seamless teamwork to build its main features, which revolve around three main pillars: Find, Learn, and Act
Those pillars work as an introduction to the continuously evolving features introduced by now:
Learn in detail about Atlassian Rovo features >>
Rovo Agents are customizable AI assistants that can be activated or created by any team member. They can be used in the Rovo Chat, automation rules, Confluence, and Jira by typing "/ai."
Rovo Agents are mainly designed to complement your work to achieve established goals, reduce repetitive tasks, and take actions based on a specialization area, they draw data from different knowledge sources from both Atlassian products and connected third-party tools.
There are three different types of Rovo Agents:
As mentioned, Budgety it’s a solution for budget management and cost tracking for Jira available in the Atlassian Marketplace. This solution allows cost-tracking capabilities to monitor expenses, categorizing them as direct or indirect, Capital Expenditures (CAPEX), or Operational Expenditures (OPEX). Besides, it offers real-time reporting, providing actionable insights about budget performance and enabling data-driven decision-making.
As a Rovo agent, Budgety offers advanced forecasting capabilities, predicts future budget trends, identifies potential risks, optimizes resource allocation, and maximizes budget impact. This comprehensive AI-powered approach to budget management will improve cost visibility, enhance decision-making, and ultimately achieve greater budget efficiency. Learn more about it in this demo:
If you want to learn all the times this solution effortlessly helps you to get the most out of your budget, download the guide with use cases below: