Atlassian brings an AI assistant to Jira and Confluence: A 2026 overview

So, it finally happened. Atlassian is jumping into the AI game with its own suite of features called Atlassian Intelligence. You'll start seeing it pop up in their cloud products, especially Jira and Confluence. They’re calling it a "virtual teammate" that can help you summarize documents, brainstorm ideas, and handle some of the work you do every day.

It’s a pretty big move, promising to change how tons of teams get work done. But what does this AI assistant really do? And more importantly, is it the right tool to help your team reach its full potential?

In this guide, we'll get into the details of Atlassian's AI for Jira and Confluence. We’ll look at its impressive capabilities, its growing support for different knowledge sources, and how the pricing works for different team sizes.

What is Atlassian Intelligence?

The official name for this new set of tools is Atlassian Intelligence. It's not a separate app you buy, but a bunch of AI skills built directly into Atlassian's cloud platform. Under the hood, it's powered by a new technology called Rovo, which uses a mix of OpenAI's models and Atlassian's own tech.

Rovo's main job is to create a "Teamwork Graph" that’s unique to your company. Think of it as a map that helps the AI understand how your projects, documents, and teams are all connected. The idea is to give you smarter, more relevant help, whether you're sorting through support tickets in Jira Service Management or writing up a project brief in Confluence. It’s like having an assistant who already knows the ins and outs of how your team operates.

A breakdown of the new AI features

Atlassian Intelligence is rolling out different features for different kinds of teams. Here’s a quick look at what you can expect to see in Jira and Confluence.

For service and support teams

If your team uses Jira Service Management as your helpdesk, these AI features are designed to make life a little easier and speed up your response times.

• A Virtual Agent for common questions: This is an AI-powered agent that can handle support chats in Slack and Microsoft Teams. It digs through your Confluence knowledge base to answer frequently asked questions on its own, which helps deflect repetitive tickets.

• AI-drafted replies: Instead of typing out the same answer for the tenth time, agents can get AI-generated response suggestions. The AI looks at similar past tickets and knowledge articles to help you reply faster and keep your tone consistent.

• Quick issue summaries: We've all seen those tickets with a dozen back-and-forth comments. The AI can summarize those long, complicated threads so agents can get the gist of a customer's problem without having to read every single word.

• Smarter ticket triage: Atlassian Intelligence can also suggest a request type or priority level for new tickets, which helps get them to the right person or team without manual sorting.

For knowledge management in Confluence

For those of you living in Confluence, a bunch of generative AI tools are coming your way to help with creating and digesting content.

You can now use the AI to get a first draft of a page, blog post, or project plan going from just a simple prompt. It's a nice way to get past that initial blank page. It also offers quick AI summaries of long Confluence pages, so you can get the main points without reading the whole thing. It can even show you a digest of what’s changed since your last visit.

One of the more useful features is the Q&A search. Instead of just typing in keywords, you can ask a normal question like, "What is our policy on parental leave?" and it will pull a direct answer from your knowledge base. Finally, the assistant can create AI definitions for company-specific jargon and project codenames, which is a huge help for new folks trying to learn the ropes.

For project managers in Jira

Project and software teams using Jira also get a few AI tricks to help streamline their work.

The big one here is Natural Language to JQL. You can now write a search query in plain English (like, "show me all high-priority bugs my team updated this week"), and the AI will translate it into the proper Jira Query Language (JQL) for you. No more looking up syntax.

The AI can also help with breaking down work. If you have a massive epic, the AI can suggest smaller tasks or user stories to help you split it into more manageable chunks.

Unifying knowledge

An AI assistant is most effective when it can access the right information. Atlassian Intelligence is built for deep integration within its ecosystem and is expanding its connections to outside sources.

The native approach

Atlassian's AI is deeply connected to Confluence and Jira. Most of its ability to answer questions and draft content comes from the robust data you already have in those platforms. Atlassian even highlights that teams using a Confluence knowledge base with Jira Service Management can deflect up to 45% of customer requests. For teams who are all-in on the Atlassian suite, this tight integration is a massive advantage.

Expanding to other sources

Atlassian recently announced that Jira Service Management can now connect to external knowledge. Currently, this includes support for SharePoint and Google Drive, showing Atlassian's commitment to building out its marketplace and ecosystem.

For teams who have their internal wiki in Notion or support history in Zendesk or Intercom, Atlassian continues to evolve its platform to better serve diverse tech stacks.

A specialized tool for cross-platform knowledge

For teams with information spread across many different apps, you might consider adding a specialized tool to your Jira ecosystem. For example, a tool like eesel AI is designed to work alongside Jira to connect knowledge from wherever it happens to be. It links up with dozens of platforms your team is likely already using, including:

• Helpdesks: Jira Service Management, Zendesk, Freshdesk, Intercom, Gorgias.

• Internal Wikis: Confluence, Notion, Google Docs, and more.

• Chat tools: Slack and Microsoft Teams.

• Past conversations: eesel's AI Agent can learn directly from your old support tickets, picking up on your brand's voice and common solutions.

By adding a tool like eesel AI to your workflow, you can ensure your AI assistant has access to the full picture of your company's knowledge while still leveraging the power of Jira.

How much does Atlassian Intelligence cost?

Atlassian Intelligence is conveniently bundled into the Standard, Premium, and Enterprise plans for their cloud products. This tiered approach ensures you have access to AI features as part of your existing subscription. Usage is tracked through a structured system of "Rovo credits" and "indexed objects."

Every user on a paid plan receives a set number of Rovo credits each month, which are used for tasks like generating text or summarizing a page. The "indexed objects" system manages how much third-party data can be searched.

Here's how those tiers are structured across Confluence and Jira plans:

Plan	Rovo Credits (per user/month)	Indexed Objects (per user)
Standard	25	100
Premium	70	250
Enterprise	150	625

Data pulled from the Atlassian Confluence and Jira pricing pages.

Is Atlassian Intelligence the right choice for your team?

Choosing Atlassian Intelligence depends on your current workflow and your team's long-term goals.

Atlassian's AI is an excellent fit if:

• Your team is fully integrated into the Atlassian suite (Jira, Confluence, Bitbucket).

• Your primary knowledge base is hosted in Confluence.

• You want a native, reliable AI helper for your daily Jira and Confluence tasks.

You might consider adding a specialized connector if:

• Your company’s knowledge is currently distributed across various platforms like Notion, Google Docs, or Slack.

• You need to bridge information between a different helpdesk and your Jira setup.

• You want a specific, customizable AI persona for unique customer support situations.

• You have a highly diverse tech stack and want to unify it through the Jira ecosystem.

This video provides a great overview of the new Atlassian Intelligence features in Jira and Confluence.

The future of your Atlassian workflow

There’s no doubt that the AI assistant in Jira and Confluence is a powerful addition to the platform. These features provide a valuable productivity boost for the millions of teams who rely on the Atlassian ecosystem every day. That tight, native integration is a major benefit for dedicated users of the platform.

For teams who require even more flexibility or want to connect a wider range of niche knowledge sources, specialized solutions can enhance your experience. A tool like eesel AI offers a complementary way to connect all your tools, working alongside Jira to provide a unified AI assistant for your entire organization.

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