Atlassian Rovo – the AI assistant for Jira and Confluence
The new AI functions in practical use
.svg)
Machine Learning Engineer
Atlassian is expanding its cloud products with Atlassian Intelligence and Atlassian Rovo, adding AI features ranging from intelligent content support to agents that initiate tasks independently.
In this compact, practical training course, you will learn how to use these functions consciously, confidently, and purposefully in Jira, Jira Service Management, and Confluence. You will recognize where AI creates real added value, increase your productivity, and reduce routine tasks in the long term.
1. Jira Software Cloud
- AI support for backlogs, processes, and project communication
2. Jira Service Management Cloud
- AI support for requests, tickets, and knowledge articles
3. Confluence Cloud
- AI-supported creation, structuring, and summarization of content
4. Rovo Search & Chat
- Centralized, AI-powered search across multiple systems
5. Atlassian Rovo Agents & Studio
- Building and using AI agents for recurring tasks
Requirements:
No in-depth administrative knowledge is required. Confident use of your own Atlassian tools (Jira, Confluence, or Jira Service Management) is sufficient.
Additional info:
Please note: Trainingtakes place on the Atlassian Cloud.
- Learn how to efficiently create and optimize texts, comments, and summaries in Jira, Jira Service Management, and Confluence using AI.
- Understand how AI-powered search is used to find relevant information faster in the Atlassian platform.
- Using AI-powered automation to reduce repetitive tasks
- Classify in which use cases AI can be used effectively in the Atlassian platform and where its use offers no added value.
The course is practice-oriented and combines presentations and demonstrations with hands-on exercises. You will work directly with the AI features of Atlassian Cloud and learn how to apply them to your own environment using specific use cases.
Use Case 1: From rule-based systems to real AI agents
A support team answers dozens of standard questions every day. A classic chatbot with fixed answers helps—but only to a limited extent. That's where Atlassian Rovo comes in: an AI agent that accesses your Confluence docs, Jira projects, and external systems, understands context, and responds accurately.
Use Case 2: Writing texts that resonate
With Atlassian Intelligence, you can transform technical notes into concise summaries, formulate precise user stories, and create understandable status updates.
Use Case 3: Finding answers before starting the search
A new developer joins the team. He needs information about the API architecture, but can only find scattered Confluence pages, old Jira tickets, and Slack threads. Instead of searching, he asks Rovo Chat, "How is our payment API structured?" The answer comes with links to Confluence, code repositories, and relevant tickets.
Use Case 4: Agents working for us
Every Monday, a team lead creates a status update: open tickets, completed tasks, blockers. This takes 30 minutes. With an Atlassian Rovo Agent, this happens automatically: the agent retrieves data from Jira, summarizes it, and posts the update to Confluence—without any manual work.
- Users of Jira Software, Jira Service Management, and Confluence in the cloud
- Project and space administrators, product owners, team leads, and service managers
- Organizations that are evaluating or already using Rovo Search, Chat, and Agents
- Anyone who wants to become more productive with AI and reduce routine work
.svg)
