Which AI does Atlassian use? A complete overview for 2026

It seems like every tool we use has suddenly sprouted an AI feature, and Atlassian is leading the way. Its entire product suite, from the backlogs of Jira to the pages of Confluence, is getting an "Atlassian Intelligence" upgrade. These features promise to do everything from summarizing comment threads to answering questions and tackling repetitive tasks.

Atlassian has built an impressive ecosystem, and these new capabilities are a testament to their innovation. But with all the excitement, it’s natural to want to know more. What’s actually powering these new tricks? Is it the same AI as ChatGPT?

This guide gets straight to the point and explains exactly which AI models Atlassian uses. We’ll also walk through the features you’ll see in your day-to-day tools and talk about how these features are optimized for the Atlassian environment. Most importantly, we'll cover how you can extend this power when your team's knowledge is stored across various platforms.

Which AI does Atlassian use?

Here’s the short answer: Atlassian Intelligence is a sophisticated hybrid system. It cleverly blends Atlassian’s own in-house tech with some of the biggest names in the large language model (LLM) world. This mix-and-match approach lets them use the right tool for the right job within their ecosystem.

Here’s a look at the players on the team:

• Big-name LLMs: Atlassian has partnered up with the heavy hitters of AI, including OpenAI (the folks behind ChatGPT), Anthropic, and Google. They tap into various models from the GPT, Claude, and Gemini families to handle the creative, language-heavy lifting, like helping you write a Confluence page or summarizing a Jira ticket. And for those focused on privacy, Atlassian is clear that your company’s data isn't used to train these external models.

• Atlassian’s homegrown models: This is a major strength. Atlassian is sitting on over two decades of data about how teams work together, and they've used it to train their own specialized AI models. This is the secret sauce behind their "Teamwork Graph," a unique data layer that doesn't just understand words, but also the relationships between your projects, goals, documents, and teammates. It knows which Jira epic is connected to which Confluence spec, and who on your team is the go-to expert for a particular topic. This context helps the AI give you relevant, context-aware answers.

• The new teammate, Rovo: Atlassian's latest product, Rovo, takes all this a step further. It’s designed to be a central AI assistant that can search, answer questions, and even take action across all your Atlassian tools. It also has the ability to connect with outside apps like Google Drive and Slack, acting as a bridge to other parts of your workflow.

A breakdown of Atlassian Intelligence features by product

Atlassian Intelligence isn't some new app you have to download or install. Instead, its features are woven directly into the Atlassian products your team already relies on. The list of features is always growing, but here are some of the most practical ways you can use it right now.

In Jira and Jira Service Management

For anyone living in Jira and Jira Service Management, the AI features are all about streamlining manual work and speeding up workflows.

• Talk to Jira in plain English: Jira makes it easier to find what you need without memorizing the syntax for Jira Query Language (JQL). You can now just type what you’re looking for in simple language. For example, asking, "show me all tickets assigned to my team that are due this week" works beautifully, saving you time on complex queries.

• Get the TL;DR on tickets: We've all opened a ticket with a detailed description and a long comment thread. AI summaries can give you the key points in seconds. This is a great feature for support agents or managers who need to get up to speed on an incident quickly.

• A virtual agent for JSM: The virtual agent in Jira Service Management can automatically answer common customer questions by pulling information from your Confluence knowledge base. This allows your team to handle common requests efficiently so human agents can focus on more specialized tasks.

This video demonstrates how you can use Atlassian Intelligence to break down epics and create stories in Jira automatically.

To get the best results from the virtual agent, it's helpful to ensure that your internal documentation is comprehensive. When the answer is readily available within your Atlassian tools, the bot performs exceptionally well.

In Confluence

Over in Confluence, the AI is focused on helping you create, find, and digest information more effectively.

• A writing assistant: Stuck with a blank page? You can ask the AI to draft a project plan, brainstorm ideas for a blog post, or even just adjust the tone of something you've already written. It can also handle translations.

• Summaries for pages and comments: Just like in Jira, you can get an instant summary of a long, dense document or an active comment section.

• Q&A search that actually answers: Instead of just pointing you to a list of pages, the Q&A search tries to give you a direct answer to your question, sourced from the content across your Confluence space.

These features are genuinely useful for managing the information you have within Confluence. It provides a focused and integrated experience for your documentation needs.

Extending your knowledge beyond the Atlassian ecosystem

Atlassian Intelligence is an incredibly powerful tool for the data within its ecosystem. It is designed to be deeply integrated with your Atlassian products, providing a secure and optimized environment for your team's work.

most teams find their knowledge is 'scattered beyond just Confluence.'

Reddit

In many modern workflows, knowledge is naturally distributed. You might have documentation in Google Docs, support macros in Zendesk, or key discussions in Slack or Microsoft Teams.

Atlassian's focus on its own products ensures a high-quality, reliable experience for Jira and Confluence users. However, if you want your AI to also access information from a wider variety of external apps, you can complement Atlassian Intelligence with other tools.

For an AI assistant to draw from your entire tech stack, platforms like eesel AI serve as a perfect companion to your Jira setup. They are designed to connect all your different tools into a unified knowledge base.

Atlassian Intelligence pricing

One of the best things about Atlassian's approach is how accessible they've made these tools. The pricing model is very user-friendly: Atlassian Intelligence pricing is included with all cloud-based Standard, Premium, and Enterprise plans.

There isn't a separate add-on fee for the core AI features. If your company is on an eligible plan, the features are automatically available. This makes Jira an even more valuable platform, as you get these advanced capabilities as part of your existing subscription.

While some of the most advanced capabilities, like the JSM Virtual Agent, are found in the Premium and Enterprise tiers, the fact that AI is integrated into the standard tiers shows Atlassian's commitment to bringing this tech to all their customers.

Enhancing your experience: Unifying all your knowledge with eesel AI

While Atlassian Intelligence is a fantastic feature for teams using Atlassian tools, you can further enhance your productivity by connecting Jira to the rest of your tech stack. A solution like eesel AI works alongside Jira to offer a complete and unified knowledge experience.

Connect every knowledge source, not just Atlassian

The main advantage of eesel AI is its ability to bridge the gap between all your different applications. It integrates with over 100 platforms, working in harmony with:

• Atlassian tools: It connects seamlessly to Confluence and Jira Service Management.

• Company wikis: It pulls knowledge from Google Docs, Notion, and SharePoint.

• Help desks: It can learn from tickets in Zendesk, Freshdesk, and Intercom.

• Chat platforms: It finds information within Slack and Microsoft Teams.

By using eesel AI as a complementary tool, your AI agent can draw from every relevant source to provide your team and customers with a comprehensive answer every time.

Get set up in minutes, not months

eesel AI is built to be a user-friendly addition to your workflow. It is radically self-serve, allowing you to connect your apps with a few clicks and have a functioning assistant ready to support your Jira workspace in no time.

You can also use eesel AI's simulation mode to test it against your past support tickets. This shows you how it would have performed, giving you a clear view of its value before you fully deploy it.

You're in complete control of your AI automation

eesel AI gives you fine-grained control over your AI automation. You can set rules for how the AI handles questions and what actions it can take, such as escalating an important ticket to the right person in JSM. This ensures that the AI perfectly complements your existing Jira processes and matches your brand's voice.

Beyond the built-in solution

Atlassian Intelligence is a strong step forward and a valuable addition for teams that rely on the Atlassian ecosystem. By combining models from OpenAI with its own Teamwork Graph, it delivers genuinely useful AI features directly within Jira, Confluence, and JSM.

Atlassian has created a robust, mature, and trusted platform. For teams that want to extend this power across their entire organization, a complementary tool like eesel AI is an excellent choice. It bridges the gaps between different sources of information, creating a unified source of truth that makes your Jira setup even more effective and your team even more productive.