Three ways you can start using Atlassian Rovo today

e-Core • May 15, 2025

Atlassian Rovo is the company’s AI-powered assistant, now available to all Premium and Enterprise customers as part of their subscription in Jira, Confluence, and Jira Service Management.


But while it sounds powerful, many teams are left wondering: Where should we start?

In this article, we break it down into three practical ways your support or product team can start using Rovo today, so you can immediately see the benefits of centralized knowledge, smarter automations, and better productivity.


What is Atlassian Rovo?

For starters, we need to understand What Atlassian Rovo really is. At its core, Rovo is designed to act as a centralized AI brain for your organization. 


Instead of searching through countless Confluence pages, Jira tickets, Slack threads, Google Drive folders, or GitHub issues, you can ask Rovo a question — and it will pull the most relevant, up-to-date information from across all connected tools.


For example, a new team member can ask, “How do I sign up for the company’s benefits plan?”. Instead of relying on a coworker or hunting through documents, Rovo provides the answer directly.


But Rovo is not just a search tool. It’s also a platform to automate tasks and build custom AI agents that work across your existing systems. 


That means less manual follow-up, fewer repeated questions, and faster delivery across teams.

Now that you understand what Rovo is and how it works, let’s explore the three most impactful ways you can start using it today to improve your team’s efficiency and simplify everyday work.


1. Unlock instant answers across all your tools

One of the easiest and most impactful ways to use Rovo right away is by tapping into its centralized knowledge search.


Imagine you’re a support agent trying to answer a customer’s question about a bug, or a product manager looking for the latest feature requirements. 


Instead of hunting through all applications, you simply ask Rovo, and it pulls the most relevant, updated information from all your connected systems.


This eliminates hours of back-and-forth and avoids duplicate work. 


To make the most of this feature, ensure your administrator has enabled Rovo and connected your key tools like GitHub, Gmail, or Slack.


If you’re serious about protecting sensitive company information while expanding these capabilities, check out our Atlassian Guard article for practical security strategies.


2. Use ready-to-go AI agents

Rovo comes preloaded with out-of-the-box agents that solve common challenges.


For example:
– The 
Content Summarizer can condense long Jira tickets or Confluence documents into short, actionable points.
– The 
Global Translator can instantly translate content, making it easier for distributed teams to collaborate.
– Specialized agents can search, extract, and report on specific issues across tools, cutting down on manual data-gathering.


You don’t need to be a technical expert to start using these agents — they’re designed to plug directly into your existing workflows.


If your team relies on Jira automation but often hits its limits, we recommend reading our Jira Automation Limits guide to discover smart strategies for overcoming these challenges and keeping your workflows efficient.


3. Build custom automations without coding

Perhaps the most exciting way to start using Rovo is by creating your own custom agents.

Let’s say you want to track Jira tickets that have been untouched for three days and automatically comment or escalate them. 


Or maybe you want an agent that monitors Confluence updates and pushes summaries to Slack.


With Rovo Studio, you can build agents tailored to your needs, no engineering background required. You define the trigger, the data sources, the action, and how the agent interacts with your tools.


Curious to see how this works in real life?

 ðŸ‘‰ Watch the demo video to see a hands-on setup with practical examples.


Final thoughts

Whether you’re on a support team dealing with high ticket volume or a product team managing complex roadmaps, Rovo can help you work smarter, right out of the box.


Start by unlocking better search, explore the power of ready-made agents, and then push further by designing your own automations.


For even more inspiration on how companies bring innovation to life using the Atlassian ecosystem, check out our Fireside Chat podcast episode — it’s packed with expert insights.

Vando Gonçalves
Solution Architect Specialist


e-Core

We combine global expertise with emerging technologies to help companies like yours create innovative digital products, modernize technology platforms, and improve efficiency in digital operations.


You may also be interested in:

Transforming healthcare with data and AI portfolio alignment
By e-Core August 14, 2025
A top insurer aligned data and AI to cut waste, speed up delivery, and turn preauthorization into a fast, accurate, real-time process.
By e-Core July 31, 2025
Energisa modernized 70 systems by migrating to AWS with e-Core’s support, gaining scalability, availability, and performance in the energy sector.
By e-Core July 22, 2025
A strategic approach to modernizing code At e-Core, we often partner with organizations whose software technically “works” in production, but just barely. Over time, shifting teams, competing priorities, and tight deadlines lead to codebases that are fragile, expensive to maintain, and risky to enhance. In this context, software refactoring becomes more than a technical task. It’s a business strategy that preserves continuity while unlocking future growth. Defining refactoring: Evolution without disruption Software refactoring is the disciplined restructuring of existing code, improving readability, modularity, and performance, without altering its external behavior. Unlike a full rewrite, refactoring delivers incremental value by: Accelerating feature delivery through cleaner, more modular code. Reducing operational risk by eliminating brittleness and regressions. Lowering total cost of ownership by making enhancements less labor-intensive. Why refactoring matters for business  Healthy codebases have a direct business impact: Faster Time-to-Market: Modular components support parallel development and faster releases. Greater resilience: Decoupled services isolate failures and simplify maintenance. Easier onboarding: Clear architecture and design patterns help new developers ramp up quickly. Sustainable cost savings: Less firefighting, fewer regressions, and lower maintenance overhead. What may look like a simple “cleanup” is often the first step toward digital reinvention. Refactoring techniques In enterprise environments built on Java, C#, or Python, we apply proven object-oriented refactoring techniques to increase cohesion and extensibility: Class decoupling: Split monolithic classes into focused, single-responsibility components. SOLID principles: Apply interface segregation and dependency inversion to stabilize architecture. Composition over inheritance: Build flexible, interchangeable structures. Testability enhancements : Isolate side effects and inject dependencies for better test coverage. These techniques form the foundation of our incremental software refactoring roadmaps. Beyond OO: Choosing the right tools for each paradigm Modern languages blend programming paradigms. We help clients apply the right tools to the right problems: Functional patterns in Python to create concise, side-effect-free data pipelines. Kotlin/Scala hybrids that combine OO structure with expressive functional constructs. C# LINQ and Async for declarative data queries and scalable concurrency. This multi-paradigm approach ensures that systems remain robust, flexible, and expressive. A refactoring story: From debt to differentiation Case Study: Regional logistics provider