Atlassian Intelligence (AI) - Everything you need to know

‍This article was written in collaboration with Bytesource, an Atlassian Platinum Solution Partner. Learn more about their services and expertise at bytesource.net.
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Welcome to the future of work with Atlassian Intelligence (AI) — a revolutionary assistant, making teams work smarter, not harder.

This built-in tool helps teams collaborate more efficiently by automating tasks, boosting productivity, and providing helpful insights across tools like Jira, Confluence, Trello, Bitbucket, Atlassian Analytics, and the latest addition —Rovo.

Built using a combination of Atlassian’s proprietary AI models, OpenAI’s technology, and insights from the Teamwork Graph — a unique representation of your team’s work — Atlassian Intelligence delivers context-aware support tailored to your organization.

From drafting content and summarizing project updates to answering questions, automating workflows, and even generating SQL queries, Atlassian Intelligence makes teamwork easier and more effective.

Adoption & Impact

In December 2023, Atlassian publicly launched Atlassian Intelligence, an ethical AI model, to expand its adoption of this cutting-edge technology and unleash the potential of every team.

Participants in Atlassian’s pilot program for AI — product managers — reported significant benefits, with 88% of them saving at least an hour per week and 94% gaining confidence in using AI tools. With over 20,000 customers leveraging Atlassian Intelligence during its beta phase and 90% of Atlassian employees actively using it internally, AI adoption is proving to be a game-changer.

However, successful AI implementation goes beyond simply integrating new technology — it requires a strategic approach to ensure it delivers real value. Organizations must first identify specific challenges and user pain points rather than adopting AI for its own sake.

Differentiating between when to use AI (e.g., automating tasks, analyzing data) and how to use it (e.g., selecting appropriate tools for content creation or issue summarization) is crucial. Building trust is equally important —integrating AI seamlessly into existing workflows and educating employees on its capabilities fosters confidence and drives adoption. 

Measuring success through both qualitative feedback and role-specific metrics (e.g., customer service response times or sales conversion rates) ensures AI’s impact is tracked and refined over time. Scaling AI requires replicating successful use cases across teams while encouraging ongoing experimentation to unlock new efficiencies and innovation. By following a structured, user-centric approach — grounded in problem-solving, trust-building, and data-driven evaluation — organizations can harness the full potential of AI.

How Does Atlassian Intelligence Work?

Atlassian Intelligence combines open-source (including the Llama series and Phi series), self-hosted models, and 3rd party hosted models through a partnership with OpenAI. At its core is the Teamwork Graph — a sophisticated data model built over two decades, mapping how teams collaborate across projects and services.

Using large language models (LLM), Atlassian Intelligence generates a custom Teamwork Graph that captures the types of work being done and their relationships. This graph is continuously enriched with additional context and data from third-party applications integrated through Atlassian’s open platform, creating a comprehensive view of work across the company.

By combining OpenAI’s advanced language technology with Atlassian’s own tools and the Teamwork Graph, the system provides smart, customized support — all while being GDPR, SOC 2 and ISO 27001 compliant. 

Key Capabilities Across Atlassian

Atlassian Intelligence is more than just an assistant — it’s a performance multiplier amplifying productivity across content creation, search, task management, development workflows, and automation. This tool offers context-aware writing assistance, natural language search, intelligent summaries, and automated processes that reduce friction and enable focus on impactful work.

Jira Software

Atlassian Intelligence in Jira Software improves issue management, workflow automation, and task organization. Key features include: 

• Natural Language Issue Search: Use natural language to find issues; AI converts the queries into JQL.
• Automation: Describe a rule in plain language, and AI generates the automation. 
• ‍Content Assistance: Draft, edit, translate, and adjust the tone of issue descriptions and comments. 
• Comment Summaries: Quickly catch up on issue conversations with AI- generated summaries. 
• Work Breakdown: Automatically create child tasks from parent issue details. 
• Smart Links Summaries: Get condensed overviews of linked Confluence pages, Jira issues, or Google Docs. 
• Slack to Jira Task Creation: Convert Slack messages into Jira tasks using AI.

Confluence

Atlassian Intelligence in Confluence helps teams work smarter by making content creation easier, improving search, and turning text into Jira issues. Key features include:

• Content Assistance: Draft pages, enhance writing, translate content, and adjust tone.
• Page Summaries: Generate concise overviews of page content and recent changes.
• Whiteboard Assistance: Group ideas, summarize content, and convert brainstorming outputs into Jira tasks or Confluence pages.
• Task Creation from Pages: Highlight text to create Jira issues or auto-generate multiple tasks.
• Natural Language Search (Beta): Search using conversational questions.
• Answers in Confluence: Provides instant, natural-language answers to questions based on the latest information available in Confluence.
• AI Definitions (Beta): Instantly define company-specific concepts, jargon, and acronyms directly within Confluence.

Jira Service Management

Atlassian Intelligence in Jira Service Management (JSM) improves support processes and incident response. Key features include:

• Virtual Agent: Automates support interactions in Slack and Microsoft Teams, deflecting repetitive requests and leveraging knowledge base content for instant answers.

• Ticket Summaries: AI-generated overviews of issue details and comments.
• Incident Management: Summarize incidents, generate timelines, and create post-incident reviews.
• Customer Sentiment Analysis (Beta): Detect sentiment in ticket comments to prioritize urgent issues.
• Request Type and Field Suggestions: AI recommends request types and form fields.

AI Impact in ITSM

• Virtual Agent Success Metrics: Handled over 50% of incoming requests in Atlassian’s internal service desk within the first month, saving 500 hours and achieving a 4.5/5 satisfaction rating.

• Intelligent ITSM Capabilities: Smart triaging, agent assignments, similar incidents & requests grouping, and resource recommendations.

Jira Product Discovery

Atlassian Intelligence supports idea development in Jira Product Discovery by helping teams refine and organize their thoughts. Key features include:

• Idea Content Assistance: Draft descriptions, summarize content, and highlight action items.

• Comment Suggestions: Summarize discussions and improve feedback clarity.

Trello

Atlassian Intelligence in Trello optimizes task management and content quality. Key features include:

• Card Content Assistance: Draft, summarize, and refine card descriptions and comments.

• Spelling & Grammar Fixes: Automatically correct content on cards and comments.

Bitbucket

Atlassian Intelligence enhances collaboration and code reviews in Bitbucket. Key features include:

• Pull Request Descriptions: Generate clear, detailed descriptions.
• Content Assistance: Draft and refine comments, writing prompts, and adjust tone.

Atlassian Analytics

Atlassian Intelligence accelerates data analysis in Atlassian Analytics. Key features include:

• Natural Language SQL Queries: Describe data needs in plain language, and AI generates queries.
• Chart Insights: Quickly surface trends from visual data.

Loom

Loom, now part of Atlassian, is an AI-powered video messaging tool that makes asynchronous team communication even easier. Read more about Loom in this recent Peakforce post. Key features include:

• AI-powered Documentation: Convert videos into Jira issues and Confluence pages with summaries and step-by-step documentation.
• Record & Share Instantly: Capture screen, camera, or both for quick video messaging.
• Engagement Tools: Add time-stamped comments and reactions for collaborative feedback.

Rovo

Powered by Atlassian Intelligence, Rovo helps teams instantly find, learn, and act on critical information across their tools. Find out more about Rovo in this recent Bytesource post.

• Rovo Search: Instantly find information across Atlassian tools and third-party apps like Google Drive, Slack, and SharePoint.
• Rovo Chat: Ask questions in natural language and get contextual answers; create Jira issues and update Confluence pages directly from chat.
• Rovo Agents: Automate complex tasks with pre-built and custom agents integrated into Jira, Confluence, and browser extensions.

Key Use Cases:

• Jira Theme Analyzer Agent: Automatically groups issues into themes for better planning.

• Service Request Helper Agent: Finds similar issues, recommends experts, and generates responses.

• Rovo for GitHub Copilot: Provides developers with context-aware suggestions, reducing context-switching.

Trust and Transparency

Atlassian Intelligence adheres to Atlassian’s existing security standards across all products, including SOC 2 and ISO 27001 certifications. It respects user permissions, meaning users can only access or generate content based on their existing product access rights. Atlassian processes data in accordance with its Privacy Policy, Data Processing Addendum, and GDPR commitments. Your data is never stored or used to train OpenAI models. Each request is processed securely and independently.

Atlassian’s Responsible Technology Principles

What is ethical in the world of artificial intelligence? Atlassian has decided not to leave it to chance and has established a set of rules to follow when implementing new technologies. They are linked to the company's general values and focus on transparency, security, privacy, accountability, inclusivity and community. 

Here are 5 Atlassian Responsible Technology Principles:

Open communication, no bullshit

Atlassian values open communication and transparency, ensuring users have the right information to make informed decisions. They commit to clear, honest communication about their products, including AI usage, capabilities, and data access — without unnecessary complexity or misleading claims.‍

Build for trust‍

Atlassian prioritizes trust by ensuring security, privacy, and reliability in its products and technologies. They embed privacy by design, offer user control over data and AI tools, and follow industry best practices for security. By collaborating with customers and partners, they continuously uphold and enhance the quality and trustworthiness of their technologies.

Accountability is a team sport

Atlassian believes accountability is a shared responsibility, involving their teams, customers, and experts. They welcome feedback, take ownership of their technologies, and commit to investigating and addressing issues. Through collaboration, learning, and transparency, they strive to improve and inspire others to do the same.

Empower all humans

Atlassian is committed to openness, inclusivity, and fairness, ensuring its technologies respect human rights and support diversity, equity, and accessibility. They actively assess and mitigate potential negative impacts, striving to create positive social and environmental progress while making their products accessible to all.

Unleash potential (not inequity)

Atlassian believes technology should empower teams, not create inequities. They commit to using new technologies, like AI, responsibly — ensuring they add value for all team members and drive positive societal outcomes. If a technology fails to achieve this balance, they will reconsider its use.

Bring the Future to Your Team with Atlassian Intelligence

The future of work has arrived, and organizations that embrace AI are gaining a distinct competitive advantage. 

Atlassian Intelligence is emerging as a critical productivity tool that empowers teams to reach their full potential. These AI-driven capabilities help to automate repetitive tasks and speed up their execution, whether in Jira, Confluence, JSM or any other product. 

Achieving sustainable impact, however, requires a thoughtful strategy that focuses on addressing real business challenges, building trust in AI solutions, and tracking measurable results. Understanding when and how to use AI allows organizations to accelerate individual productivity, make users happy and drive real results. 

By expanding on successful strategies and encouraging a culture of trying new ideas, businesses can tap into powerful tools to improve productivity, efficiency, and creativity. Great teamwork begins with Atlassian Intelligence.

Discover how to elevate your team’s collaboration — contact us now!

More about Bytesource

ByteSource Technology Consulting GmbH is a leading expert in the DACH region for AWS, Atlassian, DevOps, Agile software development, and AI. As an Atlassian Platinum Solution Partner and an AWS Advanced Tier Services Partner, we bring deep expertise in developing cloud solutions, AI consulting and implementing modern IT architectures. In addition to our headquarters in Vienna, we operate a branch in Wels and in Munich. We support our clients in successfully implementing digital transformations and optimizing IT processes. Using agile methods, we develop tailored solutions to meet our clients’ unique needs. Our broad range of services includes cloud infrastructures, DevOps implementations, and customized software and AI solutions. Clients benefit from our collaborative approach and our consistent focus on efficiency and innovation, helping them stay competitive and prepared for the future.

Sources‍

bytesource.net 

www.atlassian.com/trust/atlassian-intelligence/transparency?tab=related-resources 

www.atlassian.com/trust/responsible-tech-principles 

www.atlassian.com/blog/enterprise/playbook-for-leveraging-ai-to-accelerate-productivity?utm_source=chatgpt.com

support.atlassian.com/organization-administration/docs/understand-atlassian-intelligence-features-in-products/

support.atlassian.com/organization-administration/docs/what-is-atlassian-intelligence/

Atlassian whitepapers:
Atlassian Intelligence: Harness the power of AI to accelerate teamwork

Guide to Atlassian Intelligence and Jira Service Management
Guide to Atlassian Intelligence

Rovo Product Guide

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