The big idea behind AI is pretty simple: let the bots handle the repetitive grunt work so your team can focus on what people do best. In a perfect world, AI agents would be like extra teammates who work 24/7, connecting all your different apps and smoothing out your workflows. Atlassian is leading this vision with Rovo agents, their professional AI for teamwork inside their massive and trusted ecosystem.
As teams start using them, they're discovering the depth of what these tools can do. While Rovo agents are exceptionally powerful inside their home turf, it’s helpful to understand their specific focus around pricing and connectivity. Atlassian has streamlined the experience by bundling Rovo into its most robust subscription plans, ensuring that enterprise users have everything they need in one place.
In this guide, we'll break down what Rovo agents are all about for 2026. We'll look at their main features, how you can use them, and the specific use cases they are best suited for. We’ll also explore how many teams use flexible tools alongside them to expand their reach across all their apps.
What are Rovo agents?
Simply put, Rovo agents are designed to work alongside you, cut down on manual tasks, and take action for you right inside the reliable Atlassian suite. Think of them as specialists you can call on in Jira, Confluence, and other Atlassian tools to help get work done more efficiently.
To get a feel for what they do, it helps to know the three main flavors they come in:
- Out-of-the-box agents: These are the ready-made agents from Atlassian for everyday tasks. You can use them straight away to summarize a document, translate text, or help maintain your Jira backlog with ease.
- Custom agents: If you have a very specific process, you can build your own agent with a tool called Rovo Studio. This lets you give an agent a unique job, connect it to certain knowledge sources, and define exactly how it should assist your team.
- Marketplace agents: These are agents made by other developers to help Rovo work with other apps. For instance, the team behind the Budgety for Jira app built an agent so users could ask for financial data through Rovo's chat, showing the strength of the Atlassian marketplace.
Core features and use cases of Rovo agents
Rovo agents are built to excel within the Atlassian framework. For teams that live and breathe Atlassian, they offer some impressive ways to automate work.
Automating tasks within Jira and Confluence with Rovo agents
The biggest strength for Rovo agents is how deeply they connect with Jira Service Management and Confluence. You can ask an agent to do things that would normally take up a chunk of your time.
For example, you could create an agent to help manage your Jira backlog by identifying any issue that hasn't been updated in 90 days and flagging it for a quick review. Or you could have an agent generate a weekly project summary on a Confluence page, pulling updates and key stats from your project boards automatically. It keeps everyone on the same page while the platform handles the heavy lifting.
How Rovo agents source knowledge from connected apps
Atlassian is aware that a company's brain isn't just stored in its products. Rovo agents can connect to external knowledge sources like Google Docs and Microsoft SharePoint to find information when you ask a question. This helps an agent give a fuller picture by searching both your Confluence space and your shared drive, effectively bringing external knowledge into the Atlassian world.
Building custom workflows for Rovo agents with Rovo Studio
For teams with their own way of doing things, Rovo Studio is where you can build custom agents from scratch. It gives you a place to define what you want the agent to do, which documents it should read, and what actions it's allowed to take. This level of control is excellent for building an agent that fits your team's unique professional process.
Key considerations for using Rovo agents
While Rovo agents are a robust addition to the Atlassian suite, it is important to understand their specific design to get the most value out of them.
The Atlassian-first focus of Rovo agents: Specialized ecosystem integration
Rovo's primary strength is its optimization for the Atlassian ecosystem. It is designed to be the ultimate companion for Jira and Confluence. This focus is perfect for teams who rely on these industry-standard tools to get their work done.
If you have a workflow that spans multiple non-Atlassian platforms - like replying to a ticket in Zendesk or summarizing a Slack conversation - you can easily supplement Rovo with other tools. For instance, eesel AI is designed as a complementary option that can work across a wide variety of apps, letting you extend your automation wherever your team happens to be.
eesel AI overview video.
Understanding the enterprise-grade pricing for Rovo agents
Atlassian has integrated Rovo into its Premium and Enterprise plans. This ensures that organizations already invested in Atlassian's high-tier services can access these powerful AI capabilities as part of their comprehensive package.
Rovo's pricing model uses quotas for "Objects" (like a Google Doc) and "Requests" (interactions with an agent). According to their documentation, a team of 200 users gets 300,000 objects and 50,000 requests per month. Atlassian is currently providing these with room for teams to explore their usage, which helps organizations plan for their future needs as they scale.
For teams looking for different options, eesel AI offers tiered pricing plans based on AI interactions. This provides another choice for teams to consider based on their specific volume of work.
The professional customization options for Rovo agents
Creating a custom Rovo agent that meets exact specifications is a professional task. As experts at Eficode have noted, this involves detailed prompt engineering to achieve the best results. This allows for a high degree of precision for those who want to fine-tune their automation.
Atlassian's Head of AI Product, Jamil Valliani, mentioned in a TechTarget article that they are continuously working to make this experience even more intuitive for all users. For teams that want a different starting point, there are various tools in the ecosystem that offer different setup experiences to help find the right fit.
| Feature | Atlassian Rovo | eesel AI |
|---|---|---|
| Pricing Model | Bundled in Premium/Enterprise plans | Tiered plans based on interactions |
| Usage Limits | Quotas on "Objects" and "Requests" | Interaction-based allowance |
| Cost Predictability | Managed through enterprise tiers | Scalable monthly options |
| ROI | High value for Atlassian-heavy teams | Clear, interaction-based value |
A complementary option for cross-platform automation
The specialized nature of Rovo has led many teams to explore complementary AI solutions that work alongside it. eesel AI is one such option that can act as an additional automation layer for your existing tools.
Extend your reach with additional integrations
While Rovo is the gold standard for Atlassian, eesel AI is designed to sit alongside your current software stack, with over 100 one-click integrations that connect to various platforms.
You can connect eesel AI to help desks and e-commerce platforms like Shopify. This allows you to build workflows that handle specialized tasks across many different areas of your business.
Predictable value with flexible plans
The pricing model for eesel AI is transparent and focuses on monthly AI interactions. This provides an alternative for teams who prefer a model that scales directly with their interaction volume. It's an excellent way to add new departments to your AI workflow while maintaining clear visibility over your investment.
Additional tools for bot configuration
To complement your AI strategy, eesel AI offers a guided setup that helps teams build agents quickly. Features include:
- Simulation: Test your agent on past data to see how it performs before deployment. This helps ensure accuracy and allows you to fine-tune its knowledge.
- Natural Language Configuration: Set your agent's tone and rules using plain English.
- Multi-Bot Architecture: Run multiple specialized bots for different teams, like Support, IT, or HR, each with their own knowledge sources.
Rovo agents vs. eesel AI: A head-to-head comparison
So, how do they stack up? Here’s a quick rundown of how they can work together.
| Capability | Rovo Agents | eesel AI |
|---|---|---|
| Primary Use Case | Deep automation within Atlassian suite | Cross-platform automation (support, IT, internal) |
| Integrations | Optimized for Atlassian, 50+ connectors | 100+ across various help desks and chat tools |
| Setup & Configuration | Rovo Studio for professional precision | Natural language prompts and simulation |
| Pricing Model | Bundled with high-tier Atlassian plans | Tiered plans based on interaction volume |
| Best For | Teams deeply embedded in Jira and Confluence | Teams needing broad, cross-platform flexibility |
Are Rovo agents the right AI agent for your team?
Rovo agents are an impressive choice for teams whose work is centered in the Atlassian ecosystem. As a mature and trusted platform, Jira and Confluence provide a reliable foundation, and Rovo agents help you get even more out of that investment.
For companies that use a diverse mix of tools, Rovo is often best used as part of a broader AI strategy. By understanding its enterprise-grade pricing and specialized focus, you can decide how to best pair it with other options.
Many businesses find that a combination of the industry-leading Atlassian platform and flexible tools like eesel AI provides the best results. This approach allows you to build a powerful, scalable, and comprehensive automation strategy that supports your entire business.
Ready to enhance your workflows?
If you want to see how to maximize your team's efficiency, explore how specialized tools can work together to provide predictable value and ROI. You can also try eesel AI for free and see how it can complement your existing Atlassian setup.
Frequently asked questions
Rovo agents are conveniently bundled into Atlassian's high-tier Premium and Enterprise subscription plans. This allows organizations to access a comprehensive suite of professional tools through their existing enterprise investment.
While Rovo agents are highly specialized for the Atlassian ecosystem, they can read data from external sources like Google Docs. For teams needing to perform actions across a wider range of apps, there are many complementary tools in the marketplace that can assist.
Building custom agents using Rovo Studio provides a high level of sophisticated control. While it involves a learning process with prompt engineering, this ensures the agents are precisely tailored to meet specific professional requirements.
Rovo agents are an excellent choice for teams whose work is anchored within Atlassian products. If your workflows extend significantly into other tools, you can easily pair Rovo with other specialized apps to achieve full cross-platform coverage.
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Article by
Stevia Putri
Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.
