20/05/2025

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Work Smarter with Rovo Agents

How to Build Your Own AI Assistants: a Step-by-Step Guide for Atlassian Rovo

Just recently, Atlassian announced to make its enterprise AI solution Rovo available to most Atlassian cloud users. Currently, Atlassian is kicking things off with access for Premium and Enterprise users of Jira, Confluence, and Jira Service Management, with Standard is coming soon.

Rovo includes several elements, most notably Rovo Search, which serves as personalized enterprise search, Rovo Chat, an AI teammate that answers questions and offer smart suggestions; and Rovo Agents.

What Are Rovo Agents?

Think of Rovo Agents as out-of-the-box and custom-built specialized AI teammates ready to get to work alongside you . They are built on Atlassian’s platform and go beyond simple automation. They can:

Clean up Jira backlogs
Draft release notes
Organize tasks based on themes
Summarize meetings
Analyze feedback
And much more – fully integrated into your tools and workflows.

You can start with one of 20 pre-built agents provided by Rovo or build your own, tailored to your team’s specific needs. Which brings me to the next point – three practical examples of Rovo Agents.

Examples of Rovo Agents

Transcript Insights Agent

Turn meeting notes into clear, actionable takeaways – automatically.

After a customer conversation, the agent reviews the Zoom transcript and generates a concise summary, reducing post-meeting time from an hour to just five minutes.

Release Notes Generator

Create polished release notes straight from your Jira backlog.

The agent scans completed issues, pulls relevant data, and assembles it into a structured release note format — ready to share.

Bug Triage Assistant

Improve the quality of issue tracking by ensuring reports meet reproducibility standards.

The agent evaluates bug tickets for critical information like reproduction steps or browser versions and flags any missing or unclear details.

How to Build Your Own Rovo Agent

Creating a custom Rovo Agent is quick and easy, even without technical skills. The process follows a guided, no-code setup within the product:

Define the Agent’s Purpose | Start by answering three key questions:

Role: Who will use the agent? (e.g. product manager)
Goal: What should it accomplish? (e.g. clean up a backlog)
Use Case: Where will it operate? (e.g. in Jira)

For example: A product manager cleaning up a backlog might create an agent that identifies flags missing details, duplicate tickets, and enforces labeling conventions.

Configure the Agent | Now add the details:

Name & Description: Choose a clear name like “Release Manager Agent” and provide a short description.
Instructions: Define how the agent should behave using a natural language prompt.
Knowledge: Link relevant content sources like Confluence spaces, Google Drive folders, or Jira projects.
Actions: Add up to five supported actions – for example, creating pages, moving issues, or analyzing content.
Conversation Starters: Help users engage with your agent by adding sample prompts like “What’s the status of open bugs?”

Creating your own Rovo Agents can help in saving time and ensuring quality control.

Rovo Agents offer two particularly valuable benefits for teams. First, they deliver significant time savings by automating repetitive tasks – for example, summarizing meeting transcripts or grouping Jira issues – saving valuable hours every week. Second, they support quality control by consistently applying predefined frameworks, helping teams stay aligned with internal standards and best practices.

Which brings us to the final point of this article: five of leveraging Rovo Agents successfully.

5 Tips for using Rovo Agents

To get the most out of your agents, follow these proven tips:

Start Small and Specific: Build agents with clearly defined tasks. Expand their abilities gradually as needed.
Test Before Automating: Chat with the agent manually first. Validate its behavior before plugging it into critical workflows.
Give Feedback: If the agent makes a mistake, ask why — then refine its instructions. Iteration is key.
Be Transparent: Each agent has a profile that shows its purpose and capabilities. This builds trust and encourages adoption.
Use Examples: Sample prompts help the agent perform better. Show it how to respond with relevant, real-world scenarios.

Conclusion: Small Agents, Big Impact

Rovo Agents make the advantages of an AI assistant tangible for every team – without needing a development background or complex setup. They save time, boost clarity, and help your teams focus on what really matters.

Curious how Rovo Agents fit into your Atlassian ecosystem? Learn more about our full range of Atlassian services.

Want more hands-on tips and live demos?

Join our free webinar on May 22 to learn how to get the most out of Atlassian Rovo in your daily work. With practical use cases and expert guidance.

Secure your webinar spot now!

Work Smarter with Atlassian Rovo Agents