From simple chatbots to Rovo Agents, learn how to strategically leverage Atlassian Intelligence and Rovo in Jira, Service Management, and Confluence Cloud - for increased productivity, better decisions, and less routine work.
AI features in Atlassian Cloud are rolling out faster than teams can adopt them. Learn how to use Atlassian Intelligence and Rovo strategically — not just because they're built into Jira, JSM, and Confluence, but because they save time, reduce manual work, and increase productivity.
4 hours Live online or in-house German or English
Atlassian is integrating more and more AI capabilities directly into its Cloud products, including Atlassian Intelligence and Rovo — from smart content creation to autonomous task-triggering agents.
This training shows how to turn those capabilities into measurable value: higher team productivity, better adoption of existing licences, and a clearer return on your Atlassian Cloud investment — all while using AI consciously and securely in day-to-day work.
Create texts, comments, and summaries faster with AI
Reduce recurring tasks with AI-supported automations
Find information faster in Jira, JSM, and Confluence with AI-powered search
Understand where AI makes sense in the Atlassian Platform — and where it doesn’t
This training is designed for everyone working in the Atlassian Cloud who wants to use AI features confidently and professionally in their daily work — without needing to be an AI expert themselves.
No deep technical knowledge required — basic familiarity with Atlassian tools is sufficient.
Users of Jira, Jira Service Management, and Confluence Cloud
Project and Space Admins, Product Owners, Team Leads, and Service Managers
Organizations evaluating or already using Rovo Search, Chat, and Agents
4 Hours Live online or in-house German or English
As an Atlassian Authorized Training Partner, catworkx provides hands-on training with practical exercises and best practices to help you master Jira, Confluence, and other Atlassian tools.

This short 4-hour training will show you how Atlassian AI can transform your daily work. Imagine a service agent automatically answering recurring requests. A product owner creating user stories in minutes instead of hours. A team finding critical information across multiple systems — with a single question. We'll cover exactly these scenarious that work for you.
You’ll not only explore the features but understand the logic behind them — so you can decide for yourself where AI truly benefits your daily routine and business.

Support teams spend a lot of time answering the same questions every day — from password resets to release updates. Traditional chatbots help a little, but quickly hit their limits. With Rovo, AI agents can understand context, pull information from Confluence, Jira, and external systems, and deliver accurate answers — reducing manual effort and response times.
This module explains how that shift happens and what it enables.
Here's what you'll learn in this step:
✅ How teams move from basic FAQ bots to autonomous, context-aware AI agents
✅ How Atlassian Intelligence and Rovo work together to reduce manual work and speed up responses
✅ What changes in day-to-day team operations — and which new use cases become possible as a result
Recurring tasks like weekly status updates consume valuable time and still depend on manual effort. With Rovo Agents, these workflows can run automatically: data is pulled from Jira, summarized, and published to Confluence — consistently and without human intervention.
This module helps you decide when automation truly pays off and how to apply it responsibly.
Here's what you'll learn in this step:
✅ Which tasks are worth delegating to AI agents — and which are not
✅ Proven use cases that save time and improve consistency, from reporting to onboarding
✅ How to design, deploy, and manage Rovo Agents in Rovo Studio — without writing code
Product managers often have the right information, but translating technical details into clear, stakeholder-friendly messages takes time. With Atlassian Intelligence, drafts, summaries, user stories, and status updates can be created in seconds — helping teams communicate more clearly and stay aligned without slowing down.
This module shows how to use AI as a reliable writing partner in everyday work.
Here's what you'll learn in this step:
✅ How to use AI to create clear, audience-appropriate texts faster
✅ Practical ways to improve comments, user stories, tickets, and knowledge articles
✅ How to write prompts that consistently produce useful, high-quality results
Many companies launch AI features with high expectations, only to see usage drop after a few weeks. The reasons are rarely technical: unclear rules, missing ownership, and no rollout strategy. Successful teams take a different approach — they define governance early, invest in targeted training, and actively guide adoption.
This module shows how to embed AI sustainably into everyday processes.
Here's what you'll learn in this step:
✅ Clear governance: responsibilities, data usage, and quality standards
✅ Change management: How to engage your team step-by-step and achieve change acceptance
✅ How catworkx supports you from AI strategy to rollout — and long-term success
When new team members join, critical knowledge is often spread across Confluence pages, Jira tickets, code repositories, and chat tools. Instead of spending hours searching and piecing things together, Rovo Chat lets them ask a single question — and get a contextual answer with direct links to the right sources.
This module explains how search evolves into a shared, reliable knowledge hub.
Here's what you'll learn in this step:
✅ Rovo Search: Cross-system search across Jira, Confluence, external tools, and integrations
✅ Rovo Chat as a central entry point - ask questions instead of browsing through systems
✅ Where AI provides reliable answers — and where human expertise is still essential
The focus is on the Atlassian Cloud and the AI features available there. You don’t need to use all products — the examples are designed to be transferable to your environment.
For in-house training, we’re happy to integrate use cases from your real setup and connected systems.
AI support for backlog, issues, and project communication.
AI support for requests, tickets, and knowledge articles.
Creating, structuring, and summarizing content using AI.
Centralized, AI-powered search across multiple systems.
Building and using AI agents for recurring tasks.
For in-house sessions, we’re happy to customize the agenda, examples, and use cases to your industry and team context.
There are currently no public training dates for this course. Get in touch with us to request in-house training or a scoping call, and we’ll tailor the format, scope, and timing to your needs.