Course
digicode: CAAAI
Jira & Confluence: Atlassian Rovo – Working effectively with AI
Course facts
- Learning how to efficiently create and optimize texts, comments, and summaries in Jira, Jira Service Management, and Confluence using AI
- Understanding how AI-powered search is used to find relevant information faster in the Atlassian platform
- Applying AI-powered automation to reduce repetitive tasks
- Identifying use cases where AI is useful in the Atlassian platform and where its use does not offer any added value
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, practice-oriented training course, you will learn how to use these features 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-assisted creation, structuring, and summarization of content
4 Rovo Search & Chat
Centralized, AI-assisted search across multiple systems
5 Atlassian Rovo Agents & Studio
Building and using AI agents for recurring tasks
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. Enter Atlassian Rovo: 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 the search starts
A new developer joins the team. He needs information about the API architecture, but only finds 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 that work 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
No in-depth administrative knowledge is required. Confident use of your own Atlassian tools (Jira, Confluence, or Jira Service Management) is sufficient.
The training is conducted in collaboration with catworkx.
catworkx is an Atlassian Platinum Solution Partner.
Please note: The training takes place on the Atlassian Cloud.