Unlock the Power of AI: Your Guide to Atlassian Intelligence

Atlassian Intelligence, commonly known as Atlassian AI, is a remarkable feature of Atlassian Enterprise and Premium Cloud plans and is revolutionizing how teams interact with Jira Software, Jira Service Management, Jira Work Management, and Confluence. By incorporating advanced models from OpenAI into the Atlassian platform, it offers a unique artificial intelligence experience that's specifically tailored to the needs of users, teams, and workflows. This innovation leverages over 20 years of Atlassian’s teamwork data, enhancing efficiency and expediting work processes.

Atlassian Intelligence ensures the privacy and security of user data by processing inputs solely for the requested outputs and respecting all existing permissions, thus providing customized results based on accessible content. Accessible in early stages through a waitlist, Atlassian Intelligence is now automatically enabled for new Enterprise or Premium cloud plan subscriptions, signifying a significant step towards harnessing AI capabilities within Atlassian products for enhanced productivity and decision-making.

Watch our overview video on Atlassian Intelligence below.

Understanding Atlassian Intelligence

As we dive deeper into the capabilities of Atlassian Intelligence, it's clear that this suite of tools is designed to streamline our workflow and enhance productivity across various Atlassian products. Here’s a closer look at how Atlassian Intelligence serves as a game-changer:

Natural Language Processing (NLP) and Queries

• Converts natural language searches to Jira Query Language (JQL), simplifying the search process in the backlog for specific issues.

• Offers context-specific definitions for any term in Confluence, aiding in quicker understanding without extensive research.

• Summarizes Confluence pages, allowing users to grasp the content quickly without reading through the entire document.

• Assists in drafting PR descriptions by providing multiple suggestions, thereby enhancing the quality of submissions.

• Generates user stories and alters the tone of responses, catering to different audience needs.

• Creates starting points for documents and summarizes lengthy content, making information consumption manageable.

• Enables finding issues and dependencies using natural language, streamlining the troubleshooting process.

• Drives action in Jira Service Management through AI, accelerating response times to issues.

• Gleans insights from data, facilitating faster and more informed decision-making processes.

Atlassian Intelligence not only optimizes our current tasks but also opens up new possibilities for handling work more efficiently. Its integration across the Atlassian suite, including Jira Software and Confluence, empowers teams to achieve more in less time, proving to be an invaluable asset in our digital toolkit.

Best Practices for Leveraging Atlassian Intelligence

To leverage Atlassian Intelligence effectively, it's crucial to adhere to a set of best practices that ensure optimal performance and safeguard sensitive information. Here’s a breakdown:

• Keep Confluence Content Updated: For Atlassian Intelligence to function at its best, ensure your Confluence site is replete with current, complete, and well-structured content. This enhances the AI's ability to generate accurate outputs.
• Handle Sensitive Data with Care: Avoid inputting personal, confidential, or sensitive data into Atlassian Intelligence to prevent privacy breaches. Be particularly mindful of GDPR implications by not sharing confidential company information.

• Balance Use with Critical Thinking: While Atlassian Intelligence can significantly aid in content creation and decision-making, it's vital not to rely solely on its outputs without critical evaluation. Overdependence could impact your research and critical thinking skills.
• Legal and Ethical Considerations: When using AI-generated content in sensitive fields, always disclose the use of AI, considering the legal and ethical implications.

• Crafting Effective Prompts: Start with basic prompts and gradually add detail. Use action words and incorporate relevant keywords to improve accuracy. Proper grammar and punctuation in your input text are crucial.
• Review and Refine: Always proofread, review, and edit the AI-generated content to ensure its accuracy and clarity. Experiment with different prompts to explore various ideas and responses.

By following these guidelines, you can maximize the benefits of Atlassian Intelligence, ensuring it serves as a powerful tool in your digital toolkit while maintaining the integrity and security of your data.

The Role of AI in Enhancing Productivity

Atlassian Intelligence seamlessly integrates into our daily operations, significantly boosting team productivity across various products such as Jira, Confluence, Bitbucket and Jira Service Management. This enhancement is not just about automating tasks but about making smarter decisions that leverage organizational data efficiently. Here’s how:

AI Coding Tools

• Syntax Assistance: For those of us diving into new programming languages, AI coding tools act as a personal tutor, providing syntax for different code structures, making the learning curve less steep.
• Code Understanding and Improvement: It's like having a second set of eyes that not only understands what a piece of code is meant to do but also suggests ways to enhance it, often with helpful code snippets.
• Refactoring and Testing: Refactoring can be daunting. However, AI tools offer a reasonable first attempt, speeding up the process. Additionally, they assist in writing tests by generating test cases, laying the foundation for more complex test logic.

By processing user inputs to deliver optimized outputs, Atlassian Intelligence ensures that both users and admins can immediately harness its features for individual and team productivity. This direct application of AI in our work environment propels us towards more data-driven decision-making, streamlining workflows, and ultimately, enhancing productivity.

Integrating Atlassian Intelligence with Existing Atlassian Products

Integrating Atlassian Intelligence with existing Atlassian products enhances their capabilities and provides a seamless experience for users. Here's how:

Activation and Management

Atlassian Intelligence is automatically activated for all Premium and Enterprise plan products, offering organization admins the flexibility to opt-out or activate it on specific products anytime via Atlassian Administration.

To use Atlassian Intelligence, having organization admin permissions is crucial. This ensures that the activation process is smooth and secure.

Enhancing Productivity with AI Features:

Confluence: AI-powered summaries and natural language automation streamline content creation and management, making information consumption more efficient.

Jira Software: Generative AI in the issue editor assists agents in crafting better responses, adjusting tone, and summarizing knowledge base articles, which enhances the quality of support provided.

Integration with Other Tools

Atlassian Confluence and Jira Cloud's integration with Microsoft Teams' Copilot includes automated triage, smart labels, and intelligent alerts, showcasing Atlassian AI's capability to categorize, prioritize, and alert on issues based on content and context.

This strategic integration of Atlassian Intelligence across Atlassian products fosters a more connected and productive work environment by leveraging AI capabilities.

Integrating Atlassian Intelligence with Other Atlassian Products

Seamless Integration Across Platforms

Atlassian Intelligence's integration with products like Bitbucket and Trello means that AI capabilities are not confined to Jira and Confluence alone. For instance, in Bitbucket, AI can assist in code review processes by suggesting improvements, while in Trello, it can offer smart suggestions to organize tasks more efficiently.

Enhanced Collaboration and Efficiency

Bitbucket: AI-driven code insights and suggestions enhance code quality and collaboration among developers.

Trello: AI-powered task prioritization and organization help teams manage projects more effectively, ensuring that critical tasks are highlighted and addressed promptly.

Cross-Product Data Utilization

The integration allows for a fluid exchange of data and insights across the Atlassian ecosystem. For example, insights gleaned from Jira Service Management regarding common issues can be used to automatically generate FAQs in Confluence, or inform task prioritization in Trello based on urgency and impact.

Privacy and Security in Atlassian Intelligence

In our journey with Atlassian Intelligence, privacy and security stand as paramount pillars ensuring the trust and safety of our data. Adhering to Responsible Technology Principles, Atlassian Intelligence is meticulously designed to respect user permissions and safeguard sensitive information. Here's a closer look at its foundational security measures:

Data Handling and Permissions

• Strict adherence to permissions set within products, preventing unauthorized access to resources.

• Special agreement with OpenAI prohibits the use of submitted data for training purposes or external sharing.

• Data residency is respected, with no transmission of data outside the user's region.

Compliance and Security Standards

• Not HIPAA compliant; organizations with a Business Associate Agreement (BAA) for HIPAA should not activate Atlassian Intelligence.

• While Atlassian Intelligence itself is not SOC 2 or ISO compliant, the underlying systems meet these standards.

• SSL encrypted services fortify data transmission, upholding existing security practices.

Privacy Assurance

• Atlassian Intelligence and OpenAI do not retain, use, or share user inputs and outputs for any purposes beyond the requested outputs.

• Opt-out controls are available at the product level, with plans to introduce more granular controls.

By integrating these robust security frameworks, Atlassian Intelligence ensures a secure and private environment for users, reinforcing our commitment to responsible technology use.

Troubleshooting Common Issues

When we encounter issues with Atlassian Intelligence not functioning as expected on our site, it's essential to approach troubleshooting systematically. Here's a step-by-step guide to address common problems:

Check AI Service Status

• Initially, verify if the AI services are operational. If Atlassian Intelligence is down or experiencing issues, the best course of action is to wait until services are restored.
• For real-time updates on the health and performance of cloud services, including Atlassian Intelligence, visit the Atlassian Status Hub.

Contact Support

• If problems persist after confirming that AI services are operational, it's time to seek assistance.

  • First, check if there are any known issues or ongoing maintenance activities impacting Atlassian AI on the Atlassian Status Hub.

  • Next, if no relevant information is found, reach out to Atlassian Support for help.

Manage Activation

• For those with Enterprise or Premium Cloud plans, remember that Atlassian Intelligence is automatically activated across all integrated cloud products.

  • Organization admins have the flexibility to manage Atlassian Intelligence activation at the product level through Atlassian Administration, ensuring control over AI features and their application within your organization's workflow.

By following these steps, we can efficiently troubleshoot common issues, ensuring that Atlassian Intelligence continues to enhance our productivity and streamline our workflows effectively.

Conclusion

Frequently Asked Questions

Q: Can you explain how Atlassian's AI technology functions?
A: Atlassian's AI technology utilizes large language models to analyze and understand how teams within a company collaborate. It then creates a personalized teamwork graph that illustrates the various tasks being performed and the connections between them, providing insights into team dynamics and work processes.

Q: Are there any usage restrictions for Atlassian's AI features?
A: As of now, there are no restrictions on the usage of Atlassian's AI capabilities. However, Atlassian has the authority to implement usage limitations in the future if necessary.

Q: What does the Atlassian intelligence answers feature do?
A: The Atlassian intelligence answers feature is integrated with the virtual agent in Jira Service Management. It leverages generative AI to sift through your connected knowledge base spaces, providing answers to customer inquiries automatically.

Q: How can I utilize Atlassian's AI within Confluence?
A: To use Atlassian's AI in Confluence, you should start by either creating a new page or editing an existing page or blog post. From the main toolbar, select the Atlassian Intelligence option. Input a prompt or choose from the given list. Press the Enter key to proceed. After receiving the AI's response, you can review it and decide to include it in your page or ask a follow-up question if needed.