Supercharge Project Management with Atlassian Intelligence

In today’s fast-paced work environment, project management needs to be smarter, faster, and more efficient. Enter Atlassian Intelligence — a suite of AI-powered tools integrated directly into Atlassian’s products like Jira, Confluence, Trello, Bitbucket, and more. Available on Premium and Enterprise plans, these features simplify tasks, automate workflows, and unlock insights that allow teams to focus on high-impact work. This blog explores how to enable Atlassian Intelligence and provides real-world examples showing how it transforms productivity.

What is Atlassian Intelligence?

Atlassian Intelligence is an AI-driven productivity toolset designed to enhance various Atlassian products. With AI-powered search, automation, content generation, and insights, teams can accomplish more in less time. Here’s a look at how Atlassian Intelligence works across popular products and practical examples that illustrate its capabilities.

How to Enable Atlassian Intelligence

Ready to get started? Here’s a quick setup guide to activate Atlassian Intelligence for your team:

1. Check Eligibility: Atlassian Intelligence is available on Premium and Enterprise plans for supported products like Jira, Confluence, and others.
2. Access Admin Settings: Log in to your Atlassian account with admin privileges. Go to Atlassian Administration by selecting the admin icon in your dashboard.
3. Locate Atlassian Intelligence Settings: In the Atlassian Administration section, find Atlassian Intelligence settings to configure AI features for your team.
4. Enable AI Features: Toggle features on or off for each product, such as Natural Language Search, Content Summarization, and Automation Suggestions.
5. Set User Permissions: Decide which users or groups can access AI features, tailoring permissions to match each team’s needs.
6. Review Privacy Policies: Ensure that Atlassian’s data usage and privacy policies align with your organization’s standards.
7. Start Using Atlassian Intelligence: Once enabled, users will see AI-powered prompts directly within their products.

By enabling Atlassian Intelligence, you’re empowering your team to work smarter, not harder.

Real-World Examples of Atlassian Intelligence in Action

Let’s explore practical applications of Atlassian Intelligence across different Atlassian products:

1. Jira: Natural Language Search and Automated Workflows

Jira users can now bypass complex JQL (Jira Query Language) searches and automation setups using plain language. Whether finding issues or setting up automation rules, Jira’s AI streamlines the process.

Example: You’re looking for tasks related to “API integration issues.”

• Prompt: “Find tasks related to API integration issues.”
• Result: The AI processes this as a JQL search, such as summary ~ "API integration issues" OR description ~ "API integration issues". Instantly, you get a list of relevant issues.

Automation Example:

• Prompt: “When a critical bug is reported, assign it to the lead developer and notify the team.”
• Result: The AI creates an automation rule to assign critical bugs to the lead developer and send a notification to the team.

2. Confluence: AI-Powered Drafting and Summarization

In Confluence, Atlassian Intelligence simplifies content creation and editing, making documentation faster and more accessible.

Example: Let’s say you’re writing a project update.

• Prompt: “Draft a project update based on these points: completed API integration, started UI testing, facing minor bugs in data processing.”
• Result: The AI drafts a concise update:

**Project Update**
- **API Integration**: Completed, endpoints functional.
- **UI Testing**: Initial tests underway.
- **Data Processing**: Minor bugs detected and under review.

Summarization Example:

• Prompt: “Summarize this page.”
• Result: The AI condenses the page: “Project update covers API integration completion, UI testing initiation, and minor bugs in data processing.”

3. Bitbucket: Auto-Generated Pull Request Descriptions

With Atlassian Intelligence, Bitbucket simplifies pull request descriptions, making code review faster and more organized.

Example: You submit a pull request to merge code changes.

• Prompt: (Automatically generated upon pull request submission)
• Result:

**Feature Update**: Added sorting functionality to improve user experience in the dashboard.
- Added filters for sorting by date and category
- Refactored data processing to reduce load times
- Included unit tests for new functions

Conclusion: Empower Your Team with Atlassian Intelligence

Atlassian Intelligence is reshaping project management by integrating AI-driven tools into the heart of Atlassian products. From natural language searches in Jira to AI-driven content generation in Confluence, these features help teams save time, reduce repetitive tasks, and focus on meaningful work.

By enabling these tools, you’re giving your team the power to work smarter and faster, turning complex tasks into simple prompts and unlocking insights with ease.

For Premium and Enterprise users, Atlassian Intelligence is a game-changer. By setting up these AI tools, you’re not just improving productivity—you're transforming how your team manages projects, one AI-powered prompt at a time.