A practical guide for teams using Jira, Confluence, and Jira Service Management

Atlassian has always shaped how teams collaborate, but Atlassian Intelligence takes that story a step further. It brings AI directly into the tools people already rely on every day—Jira, Confluence, and Jira Service Management—helping teams work with more clarity, confidence, and speed. Instead of switching between apps, pasting into Google Docs, or asking someone to “give me a summary,” teams now get AI-powered help exactly where work happens.

In this article, we’ll unpack what Atlassian Intelligence really is, how using Atlassian Intelligence improves day-to-day work, what Atlassian Intelligence features matter most, and how it connects with other emerging Atlassian products like Rovo. We’ll also look at how teams can use these capabilities to accelerate outcomes—whether they’re building software, handling service work, or scaling their knowledge base.

What Is Atlassian Intelligence?

Atlassian Intelligence is Atlassian’s ai-powered layer built into its cloud products. Think of it as a teammate that understands your organization’s context, interprets your tasks, and helps you work smarter. It uses natural language to help you create, generate, summarize content, answer questions, and surface actionable insights across work items in Jira, Confluence, and Jira Service Management.

It’s part of Atlassian’s long-term commitment to help teams improve productivity, efficiency, and teamwork without disrupting existing processes. Everything stays within one single platform, fully aligned with Atlassian’s security standards and available in premium and enterprise plans.

Key Atlassian Intelligence Features

Atlassian designed its AI to streamline processes and reduce friction across tools. Some of the most impactful features include:

1. Natural language assistance in Jira

Teams can write prompts like: “Show all bugs affecting mobile checkout,” and Atlassian Intelligence will generate the matching JQL queries. It helps users quickly understand issues, dependencies, and priorities without being experts in search syntax.

2. Smarter content in Confluence

Inside Confluence, AI can generate and transform content—from first drafts to structured pages. Write a few lines and let the AI transform content into meeting notes, project proposals, or requirements. It also helps summarize content, identify missing information, and improve clarity.

3. Jira Service Management virtual agent

The virtual agent is one of the most transformative Atlassian Intelligence features for customers and IT teams. It uses natural language search, knowledge base articles, and external data sources to answer user requests directly in Slack or the portal. It can adapt answers, escalate tickets, or auto-resolve simple issues—freeing teams to focus on more complex work.

4. Smart Links and cross-tool context

With smart links, users can preview Jira issues, Confluence pages, and other apps inside one view. Atlassian Intelligence enhances this by pulling relevant data, highlighting relationships, and helping users understand content faster.

5. Insights that deliver results specific to your organization

Because AI learns from your organization’s context, it produces more accurate suggestions, explains workflows, and interprets how teams use automation rules, comments, and references across Confluence + Jira.

6. AI-powered help for developers and product teams

In tools like jira product discovery, the AI can interpret customer feedback, highlight themes, and help teams identify priorities faster.

How To Use Atlassian Intelligence in Jira

Whether you’re a developer, project manager, or service analyst, using Atlassian Intelligence inside Jira helps teams accelerate delivery and reduce mental overhead. Here’s how it works in practice:

Write prompts instead of configurations

You can simply type something like: “Create a new epic for our checkout redesign and link all open payment issues.”

Atlassian Intelligence will generate the epic, create relationships, and update work items.

Create automation rules with natural language

No need to remember conditions or actions. Tell the system: “When a customer reports a login bug, assign to the mobile team and notify QA in Slack.” AI will create the rule instantly.

Use Jira AI to summarize comments and issues

When a ticket has 20+ comments, AI can summarize content so users can quickly understand what changed, who said what, and what’s blocking progress.

Leverage Jira AI for triage

Atlassian Intelligence can read descriptions, categorize work, and suggest next steps—helping teams stay consistent across processes and work.

How Atlassian Intelligence Improves Jira Service Management

If you’re working in Jira Service Management, the impact is even bigger.

1. Virtual agent for customers and employees

Users type questions in Slack, and the virtual agent provides immediate answers, based on knowledge base content or external data sources.

2. Auto-generated ticket context

The AI scans requests, extracts important details, and highlights what the agent needs to resolve the issue.

3. Faster delivery of service work

Teams spend less time rewriting descriptions or clarifying tasks—and more time solving problems.

What Is Atlassian’s AI Called?

Atlassian’s AI platform is officially called Atlassian Intelligence, often shortened to Jira AI or simply AI across product documentation. It’s different from Atlassian’s new search and knowledge product, Rovo, though they work together.

Atlassian Intelligence vs. Rovo — What’s the Difference?

A common question is whether Atlassian Intelligence is Rovo. Here’s the difference:

Atlassian Intelligence

• Built into Jira, Confluence, Jira Service Management
• Helps teams create, generate, summarize, automate
• Improves productivity inside individual products
• Available in standard premium and enterprise tiers (depending on the app)
• Organization admins can manage settings and turn it on/off
• Usually activated for all apps where supported

Rovo

• Atlassian’s new AI assistant across your whole organization
• Works across multiple tools, including third-party external data sources
• Helps with search, insights, and conversation-based help
• More of a global knowledge and orchestration layer

Think of it like this: Atlassian Intelligence improves the apps. Rovo connects the whole organization.

Plans, Access, and Administration

Atlassian Intelligence is available for most cloud products on premium and enterprise plans. Some beta features are rolling out gradually, so users may see updates as Atlassian expands the rollout.

Organization admins can manage access, enable or disable modules, and review how AI interacts with data across the suite. Teams with an enterprise plan get more fine-grained control and extended governance settings.

What Atlassian Intelligence Means for Teams

Across all the noise around artificial intelligence, this one is different—it’s baked into the tools where your team already works. It helps you:

• reduce manual work
• keep work consistent
• write better, faster
• connect resources
• bring clarity to complex projects
• manage growing requests at scale
• strengthen teamwork by supporting everyone equally
• avoid switching to other apps like Google Docs for drafting

Whether you’re handling hundreds of Jira issues, collaborating in Confluence, or supporting employees through Jira Service Management, this new AI layer helps teams work with more confidence and flow.

Atlassian Intellifence: Final Thoughts

Atlassian Intelligence marks a major shift in how companies run work at scale. It helps teams stay aligned, interpret complex data, accelerate decisions, and maintain high-quality outcomes even as organizations grow. For any team running Jira, Confluence, or Jira Service Management, the value is immediate: less manual overhead, fewer bottlenecks, and more time spent on meaningful work.

And as integrations, apps, and cross-tool connecting expand, Atlassian’s vision of one unified single platform becomes even more real.

If you’re already working across multiple systems—Jira, ServiceNow, Azure DevOps, Salesforce, Monday.com, or others—tools like Getint help bridge those worlds so Atlassian Intelligence can understand the full picture. This is where the future of work is heading: connected, automated, and built around the real-life flow of teams.