
Let's be real: the amount of "work about work" can be a real drag. If your team lives in Jira, this probably looks like manually triaging tickets, answering the same questions on repeat, and spending way too much time organizing tasks instead of, you know, actually doing them. It's the kind of stuff that drains your energy and keeps you from the important projects.
That's the whole promise of a Jira AI assistant. The right tool can automate those repetitive tasks, summarize a messy issue in seconds, and even generate sub-tasks to get a project rolling. It’s all about giving your team the breathing room to focus on work that makes a real impact, rather than getting stuck in the weeds.
Atlassian has its own impressive built-in AI, which is a powerful starting point for many. Let's take a look at what Atlassian's native AI can do, how it can be extended for specialized needs, and what you should look for in an AI solution that connects your entire workflow.
What is the native Jira AI assistant?
Atlassian’s native Jira AI assistant is part of a platform-wide engine called Atlassian Intelligence. You might also see it branded as Rovo, which they’re positioning as a kind of virtual "AI teammate" that operates across their cloud products like Jira, Confluence, and "Jira Service Management (JSM)".
The idea is simple: give you a helper that's already part of the Atlassian world you work in every day. It’s a mature solution meant to help you create, summarize, and find information without having to switch tabs. Think of it as a reliable sidekick built into the tools you already use.
Its main jobs usually fall into a few categories:
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Content Generation: It can help you write first drafts of things like test plans, internal IT policies, or standard replies to customer tickets in JSM.
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Summarization: It’s handy for boiling down long issue descriptions, comment threads, or lengthy Confluence pages into something you can digest quickly.
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AI-Powered Search: Rovo Search is designed to help you track down information across your Atlassian tools, making it easier to find that one specific document you need.
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Virtual Agent: In Jira Service Management, the virtual agent can handle basic Tier 1 support questions by pulling answers directly from your "Confluence knowledge base".
These powerful features are available through Atlassian's Premium and Enterprise subscription plans, offering great value for teams looking to scale their operations.
Key features and use cases for a Jira AI assistant
So, what can a Jira AI assistant actually do for your team day-to-day? Let's walk through a few common scenarios, looking at what Atlassian's native AI offers and where specialized tools can complement the experience.
Automated ticket management and triage
Native Jira AI: Inside Jira Service Management, Atlassian Intelligence can do some smart triaging. It suggests the right request type for a new ticket and groups similar issues, helping agents organize their queues efficiently.
Note on specialized data: This is a fantastic feature for teams whose work primarily lives within Jira. Its intelligence is highly specialized for the data inside the Atlassian ecosystem. For teams that need to incorporate external context, such as CRM data, complementary tools can provide that extra layer of visibility.
A specialized approach: An AI that can see the whole picture can be a helpful addition. For example, a tool like eesel AI for ITSM can connect to all your apps alongside Jira. It could see a user is a high-value customer from Salesforce data and automatically escalate their ticket. It can also be trained on your past tickets from Jira Service Management to learn how your team has solved similar problems before. This provides a great way to extend Jira's core strengths.
Intelligent issue creation and summarization
Native Jira AI: One of its most reliable tricks is breaking down a big, vague task into smaller, actionable sub-tasks. It’s also excellent for "summarizing those novel-length comment threads" so you can get up to speed without reading every single reply.
Note on specialized context: This AI is deeply focused on the information inside the specific ticket. For projects that have context spread across external docs or Slack channels, you might consider an additional tool that unifies those sources.
A specialized approach: This is where an AI that connects your knowledge really makes a difference as a complement to Jira. eesel AI integrates with tools your team already uses, like Slack, Google Docs, and Confluence. For instance, an engineer can tag the eesel bot in a Slack discussion, which then creates a detailed report in Jira, pulling in relevant external documents. This ensures Jira remains your central source of truth with all context included.
This video demonstrates how Atlassian Intelligence can be used to quickly break down work and create stories or subtasks within Jira.
Conversational support and unified knowledge
Native Jira AI: The JSM virtual agent acts as a frontline defender, deflecting simple support questions with answers from a linked Confluence knowledge base.
Note on specialized knowledge: This creates a robust and reliable system when your "Confluence space" is well-maintained. For teams with knowledge scattered across many different legacy systems, adding a complementary tool can help broaden the reach of the AI.
A specialized approach: This is where eesel AI can work alongside Jira. It unifies your company's knowledge from multiple sources. You can train it on your entire support history from Jira, internal process docs from Google Docs, and your Confluence wiki. This creates an even richer knowledge base, helping your AI agent provide accurate answers based on the widest possible context.

Plan considerations and the Jira AI assistant ecosystem
Having AI built right into Jira is an impressive advantage, and understanding how it fits into your organization's plans is key to getting the most out of it.
Pricing and plan options
Atlassian offers its powerful AI features, including the virtual agent, as part of its Cloud Premium and Enterprise plans. These tiers are designed for growing organizations that require a comprehensive, enterprise-grade platform.
By choosing these plans, you gain access to a broad suite of advanced features, including the Jira AI assistant, providing a consolidated and reliable platform for your entire organization.
| Feature | Free | Standard | Premium | Enterprise |
|---|---|---|---|---|
| Price / User / Month | $0 | $7.53 | $13.53 | Billed Annually |
| User Limit | 10 | 100,000 | 100,000 | 100,000 |
| Atlassian Rovo / AI | No | 25 credits/user | 70 credits/user | 150 credits/user |
| Virtual Agent (JSM) | No | No | Included | Included |
A flexible alternative for specialized needs: For teams looking for a different approach, the pricing model for eesel AI is based on usage rather than user seats. This can be a great complementary option for teams that want to adopt AI capabilities for specific tasks without changing their existing Jira plan.
A focused ecosystem for Atlassian tools
Atlassian Intelligence is designed to work seamlessly within the Atlassian universe. It is a mature platform that connects Confluence and other Jira projects beautifully.
If your team also uses a wide range of external tools like Google Workspace, Slack, Microsoft Teams, or various CRMs, you can easily use complementary tools to bridge those systems with your Jira workflow.
A connected alternative: eesel AI is designed to complement your Atlassian setup by breaking down data silos. With over 100 one-click integrations, it can plug into your entire tool stack, allowing Jira to benefit from a single source of truth that spans all your applications.

Standardized and reliable performance
Atlassian's AI is built for ease of use, providing a consistent and reliable experience across the platform. This standardized approach is excellent for teams that want a "plug and play" solution that works right out of the box.
For teams that require highly specialized tailoring for unique processes, additional tools can provide deeper customization options.
A controllable alternative: eesel AI can provide additional control with a customizable workflow engine. Its prompt editor lets you define an exact tone of voice and build custom actions. Its simulation mode even lets you test your setup on historical tickets, giving you extra confidence in your "resolution rate" before going live.

Finding a specialized alternative: What to look for in a Jira AI assistant
If you're looking for a Jira AI assistant to complement your current setup, here is what to consider:
- Quick setup: Look for a solution you can set up in minutes to start seeing benefits immediately.
- Unified knowledge: Choose tools that can connect to multiple knowledge sources, including your support history, Google Docs, and Slack.
- Deep customization: A good solution allows you to tailor automation to your specific team processes and tone of voice.
- Risk-free testing: Look for a simulation mode that lets you test against real historical data to ensure high-quality performance.
- Transparent pricing: Clear, usage-based plans can be very cost-effective and easy to scale.
Move beyond the basics with a complementary Jira AI assistant
Atlassian's integration of AI into Jira is an impressive achievement. The built-in features for summarizing issues and automating tasks provide a strong, reliable foundation for any support team. Jira is a mature, trusted platform that powers thousands of successful companies.
While the native Jira AI assistant is an excellent starting point, specialized tools can help you extend its capabilities even further. A "great AI assistant" can learn from your team's collective knowledge across all tools, providing a seamless experience that complements your Jira setup.
If you’re interested in seeing how a specialized Jira AI assistant can make your team even more productive, check out eesel AI. It works alongside Jira, Confluence, Slack, and over 100 other tools to deliver accurate answers and automate repetitive tasks. You can get started and be up and running in just a few minutes.
Frequently asked questions
Atlassian's native Jira AI assistant is part of Atlassian Intelligence (also called Rovo). It helps with tasks like generating content drafts, summarizing long issue descriptions or comment threads, powering search across Atlassian tools, and acting as a virtual agent in "Jira Service Management".
The most advanced AI features, like the virtual agent, are included in Atlassian's Cloud Premium and Enterprise plans. These tiers are designed to provide robust, enterprise-grade capabilities for organizations that need the full power of the Jira AI assistant.
The native Jira AI assistant is highly specialized for the Atlassian ecosystem, providing deep integration with Jira and Confluence. For teams that also need to learn from data in external tools like CRMs or Google Workspace, specialized complementary solutions can be used alongside it.
Atlassian's native Jira AI assistant is optimized for data within Atlassian products. Specialized AI solutions can be used to complement it, integrating with over 100 other tools to unify knowledge from your entire tech stack.
When choosing a specialized Jira AI assistant, prioritize quick setup, unified knowledge across all your tools, customization options, a risk-free testing mode with historical data, and transparent, usage-based pricing models.
"A Jira AI assistant" can significantly streamline workflows by automating ticket triaging, suggesting appropriate request types, grouping similar issues, and generating actionable sub-tasks from larger initiatives. It can also summarize lengthy discussions to quickly provide context for issue creation.
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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.






