What are Rovo AI Actions? A 2026 overview for Atlassian users

Let's be real, sorting through the flood of new AI tools is a chore. The big promise is that they'll handle the boring, repetitive stuff so we can do our actual jobs. But figuring out which ones live up to the hype? That can feel like a full-time job in itself. If you're working within the Atlassian ecosystem, you've probably heard the buzz around Rovo, their impressive play in AI-powered teamwork.

Atlassian Rovo is designed to be more than just another chatbot; it's built to actually do things. This post will give you a straightforward look at what Rovo AI Actions are, what they can do for your team, and how they can work alongside other flexible tools built for the way modern teams operate: Hint: It's often about finding the right balance across your software suite.

What is Atlassian Rovo? The foundation for Rovo AI Actions

Before we get into the "actions," it helps to understand the whole setup. Rovo is Atlassian’s AI teammate that’s meant to work across its products. It serves as a smart, unified layer connecting your work in Jira, Confluence, and the rest of the ecosystem.

It’s broken down into a few main parts:

• Rovo Search: A search bar that pulls info from your Atlassian tools and a selection of connected third-party apps.

• Rovo Chat: The conversational part where you can ask questions, get summaries, and tell it what to do.

• Rovo Agents: These are the specialized AI workers that perform specific tasks. Some are pre-built, and you can create your own.

• Rovo Studio: The workshop where you can build and tweak your own Rovo Agents using a no-code or low-code interface.

So, where do Rovo AI Actions come in? They are the specific jobs that Rovo Agents perform. They're the "Act" part of Rovo's "Find, Learn, and Act" motto. These actions turn Rovo from a search tool into a proactive participant in your workflows.

How Rovo AI Actions automate work inside Atlassian

Rovo AI Actions are most at home inside the Atlassian world. They’re built to connect the dots between Jira, Confluence, and Jira Service Management, automating tasks that usually involve switching between tabs. Atlassian even gives you over 20 pre-built agents to get started right away.

Making project management easier in Jira

If your team uses Jira, Rovo can feel like a significant productivity boost. It helps with common project management tasks, from organizing tickets to prepping for a new release.

For instance, a "Triage Assistant" agent can read a new bug report, spot words like "critical" or "site down," and automatically assign it to the right engineer's sprint. Other pre-built agents like the "Issue Organizer" can help tidy up backlogs, and the "Release Notes Drafter" can pull together a first draft of release notes from all the completed tickets. It streamlines many of the standard coordination tasks.

Speeding up knowledge creation in Confluence

Over in Confluence, Rovo AI Actions aim to make content management more efficient. They can help you turn scattered notes and ideas into clean, organized documents.

Let's say you just wrapped up a brainstorming session and have a Confluence page that’s a jumble of notes. You could use an agent like the "Comms Crafter" to turn that into a structured summary with clear action items. For companies with a global presence, the "Global Translator" agent can take a policy document and spin up translated versions, making info easier for everyone to access.

Improving support with Jira Service Management

For IT and customer support teams using Jira Service Management (JSM), Rovo AI Actions can help get tickets resolved faster. The "Service Request Helper" agent is a good example. When a new ticket lands, it can analyze the request, pull up relevant articles from your Confluence knowledge base, and suggest them to the support agent. It can even draft a reply to give them a starting point.

This is where Rovo is at its strongest, offering a deep level of integration that is hard to find elsewhere.

Tailoring Rovo AI Actions for your workspace

Rovo is a powerful sidekick for companies committed to the Atlassian suite. Because many modern teams use a variety of apps for different workflows, it is helpful to consider how Rovo can best complement your existing tools.

Leveraging Atlassian's integrated platform

Rovo's intelligence is based on what Atlassian calls the "Teamwork Graph." This is a powerful feature that allows it to understand the deep connections between your Jira issues and Confluence pages. While it is optimized for its home turf, it provides a very solid foundation for enterprise workflows.

For teams whose most valuable support knowledge might be stored in other platforms like Zendesk, Google Docs, or Notion, the goal is to bridge those gaps. Rovo provides a centralized hub within Atlassian, and you can enhance this by using complementary tools to bring in external data.

Why you might use a knowledge platform that plays well with others

A complementary approach is to use a platform built to be tool-agnostic alongside Jira. Instead of moving everything into one place, these tools connect to your apps right where they are.

This is exactly the approach eesel AI takes. It’s an AI platform that connects to dozens of apps, including help desks like Zendesk, chat tools like Slack, and all the other places your team's knowledge is stored.

One helpful feature is that eesel AI's Agent can train directly on your team's past support conversations from various helpdesks. It learns your brand voice and common customer problems automatically. This works alongside Rovo to ensure you have a complete view of your business's information.

Empowering teams with self-serve control

Rovo Studio offers a no-code way to build simple agents, which is great for quick setups. For more complex actions that interact with other systems, Atlassian offers the Atlassian Forge platform. This is a robust environment for developers to build secure, enterprise-grade integrations.

In contrast, eesel AI is designed to be a self-serve option for support and operations teams. You can connect knowledge sources, tweak your AI's personality, and launch a fully working AI agent in minutes.

Even better, eesel AI offers a simulation mode to test your setup on past tickets. You can see how it would have replied and fine-tune its behavior before it talks to a real customer. This is a great way to experiment with AI workflows alongside your established Jira processes.

Understanding Rovo AI Actions pricing and setup

Rovo is conveniently included with paid Atlassian Cloud plans. Its usage is managed via a credit system, which helps teams plan their AI consumption.

The plan and credit system explained

Rovo is part of Premium and Enterprise Cloud plans. Usage is measured in "AI credits," with each user receiving an allocation per month. This allows teams to scale their usage as they grow.

License	Product	Indexed objects per user	AI credits per user per month
Premium	Jira, Confluence, JSM	250	70
	Teamwork Collection	2500	700
Enterprise	Jira, Confluence, JSM	625	150
	Teamwork Collection	6,250	1,500

This model is a strong fit for established Atlassian users. For those looking for different structures, eesel AI's pricing is another transparent option based on AI interactions. It offers monthly plans that allow you to adapt without long-term contracts, making it a flexible addition to your tech stack.

Customizing Rovo AI Actions: Rovo Studio vs. Atlassian Forge

As mentioned, customizing Rovo involves choosing between Rovo Studio for simple agents and Forge for professional development. This ensures that every team, from business users to software engineers, has a way to build on the platform.

With eesel AI, you can also manage powerful custom actions, like looking up an order in Shopify, creating a Jira issue, or triaging a ticket in Zendesk, all from a simple dashboard.

At the end of the day, Rovo AI Actions are a fantastic addition for teams who rely on Atlassian. They automate tasks and connect workflows beautifully within that ecosystem. For teams that need an AI platform to bridge multiple tools, adding a flexible solution can provide the best of both worlds. eesel AI is built to work with the tools you already have, bringing all your knowledge together to deliver useful automation in minutes.

eesel AI Agent automatically answering and resolving a ticket in Zendesk.

Beyond Rovo AI Actions: AI that works across all your tools

You can get the most out of your software ecosystem by finding the right tools for your needs. See how eesel AI can unify your knowledge from Zendesk, Confluence, Google Docs, and more to deliver instant, accurate support. Try it yourself or book a demo to see our powerful simulation in action.

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