Atlassian Intelligence Confluence AI features: A 2025 overview

Let’s talk about that giant Confluence space your team has. You know the one, it’s part goldmine of valuable information and part black hole where answers go to disappear. Finding anything can feel like a bit of a treasure hunt, right?

Atlassian is tackling this head-on with Atlassian Intelligence, its own AI built to make Confluence a whole lot smarter. There’s a lot of talk about it, especially with its new, more powerful version called Rovo. But what does it actually do for you and your team day-to-day? And is it the right fit for your company?

This guide will give you a straight-up overview of the Atlassian Intelligence Confluence AI features. We’ll get into what they are, what they’re good for, where they stumble, and what it’ll cost you. By the end, you should have a much clearer picture of whether it’s the right move for your team.

What is Atlassian Intelligence?

Atlassian Intelligence is essentially the AI brain that’s been built directly into Atlassian’s cloud products, including the knowledge base powerhouse, Confluence. It’s the engine behind features that help you summarize long pages or even draft new ones.

More recently, you might have heard about Rovo, which Atlassian is calling an "AI teammate." Think of Rovo as the next evolution of Atlassian Intelligence. It’s designed to do everything the original AI does, but also to search, chat, and work across all of your company’s data, even information outside of Atlassian tools. Basically, Atlassian Intelligence was the starting line, and Rovo is where it’s all headed.

A look at Rovo, the new AI teammate from Atlassian, integrated into Confluence.

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Here’s a really important catch, though: these AI features are only available on Confluence Cloud Premium and Enterprise plans. If your team is on a Free or Standard plan, you can’t just buy the AI as an add-on. You have to upgrade your entire subscription to get access.

Core Atlassian Intelligence features in Confluence

Atlassian Intelligence adds a handful of AI tools to your Confluence workspace, all aimed at making it easier to create and find information. Here’s a breakdown of what that actually looks like.

Summarizing and creating content

One of the most useful things the AI can do is chew through big walls of text for you.

• Quick Summaries: You can get an instant summary of a long Confluence page or a comment thread that’s grown a mile long. It can even give you a "catch-up" on what’s changed on a page since your last visit. It’s a nice way to get the gist of a project without having to read every single word.

• Help with writing: The AI can also help you get started on new content. You can ask it to draft a new page from a prompt, brainstorm some ideas, suggest a title, or even just rewrite a paragraph to sound more professional.

The reality check: While these tools are great for a first pass, the output usually needs a human touch. The quality really depends on how good your prompts are and what information is already in Confluence. Since the AI is mostly trained on your Confluence space, its context can be a bit thin for complex topics that span different departments or tools.

Finding answers and definitions

The AI is also supposed to make it easier to find what you’re looking for.

• Q&A Search: This lets you ask questions in normal language, like, "What was our marketing plan for Q3?" The AI then tries to piece together an answer from the information it finds across your Confluence pages.

• Definitions: If your company has a lot of internal jargon, acronyms, or project code names, the AI can act as a built-in dictionary. It pulls context from your knowledge base to explain what they mean, which is super helpful for new hires.

The reality check: The search is pretty decent, but it’s stuck inside a walled garden. It can only see data that lives in your Atlassian products. If your company’s most important knowledge is spread across Google Docs, Slack threads, or your helpdesk, the AI has no idea it exists. This can lead to incomplete answers and leave people wondering why they can’t find something they know is out there.

AI-powered automations

Atlassian Intelligence lets you build automation rules using plain English. For instance, you could type "archive pages that haven’t been updated in 6 months," and the AI will try to create that rule for you.

The reality check:

You often still need to go in and manually check the rule to make sure it’s going to work correctly. Sometimes, it feels like it takes more effort than just building the rule yourself the old-fashioned way.

AI in whiteboards and creating tasks

The AI features are also popping up in visual collaboration tools.

• Whiteboards: AI is coming to Confluence whiteboards. The idea is that you’ll be able to generate sticky notes from an idea, have the AI group similar thoughts together, and get a quick summary of a whole brainstorming session.

• Creating Tasks: You can highlight text on a Confluence page and tell the AI to turn it into a Jira task. This helps connect the dots between planning a project and actually doing the work.

The reality check: This is a nice, slick feature, but it keeps you locked into the Atlassian world. Making Jira tasks is great, but the underlying issue is still there: the AI doesn’t have the full picture from other tools, which can mean the tasks it creates are missing key context.

Where Atlassian Intelligence works and falls short

These features look good in a demo, but how do they actually perform when you’re using them every day?

The sweet spot: Speeding up internal work

From what users are saying, Atlassian Intelligence really shines for internal teams. It’s a good fit for:

• Onboarding new team members: New hires can find answers and learn the company lingo without having to tap a colleague on the shoulder every five minutes.

• Creating content: It’s a solid tool for getting over writer’s block, cleaning up drafts, and keeping the tone consistent across your internal docs.

• Keeping up with projects: The summary features are a big help for busy people who need to stay in the loop on projects but don’t have time to read every single update.

This video provides an introduction to how Atlassian Intelligence works within Confluence Cloud to assist with content creation and formatting.

Is Atlassian Intelligence ready for customer support?

While it’s handy for internal use, it seems the customer-facing side of things isn’t quite there yet. Atlassian’s own roadmap shows that these features are still in a closed beta. The tools are built for managing internal knowledge, not for handling customer support queries. It can’t do things like look up a customer’s order in real-time or automatically resolve a support ticket.

For teams that need an AI to power a customer-facing chatbot or help agents in a tool like Zendesk or Intercom, you’re probably better off with a dedicated solution. Tools like eesel AI are built specifically for that. They can connect to your Confluence docs but are designed to work where your customers are.

The biggest hurdle: Disconnected knowledge sources

This might be the most significant drawback. Atlassian Intelligence mostly sticks to what it knows: Confluence and Jira. But most companies have information scattered all over the place, in Google Docs, Notion, Slack, and, crucially, in years of past support tickets. Atlassian’s AI can’t see any of that, which often leads to answers that are incomplete or just plain wrong.

An infographic showing how different knowledge sources can be integrated to power a central AI, overcoming the limitations of single-platform solutions.

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For support teams, this is a major problem, since the best answers are often buried in previous customer conversations. Unlike tools that are stuck in one ecosystem, platforms like eesel AI are built to connect all your knowledge sources. They can pull information from Confluence, your Google Drive, and your entire Zendesk history to give a complete answer, whether it’s for your team or your customers.

Atlassian Intelligence: Pricing and plans

The cost is a huge factor, and with Atlassian Intelligence, it’s not as simple as just buying a new feature.

Which Confluence plans include Atlassian Intelligence?

Here’s the deal: Atlassian Intelligence features are only available on Confluence Cloud Premium and Enterprise plans. They aren’t included in the Free or Standard plans. To get the AI, you have to upgrade your entire Confluence subscription for every single user, which can be a pretty steep jump in cost.

Breaking down Rovo pricing

On top of that mandatory plan upgrade, the more advanced AI features in Rovo cost extra. While official pricing can shift, discussions in the community suggest a price of around $24 per user, per month. This per-user model can get expensive fast, especially if you have a big team where only a handful of people really need the advanced AI tools.

Feature Set	Free Plan	Standard Plan	Premium Plan	Enterprise Plan
Basic Confluence	✔️	✔️	✔️	✔️
Atlassian Intelligence	❌	❌	✔️	✔️
Rovo pricing (Advanced AI)	❌	❌	Additional Cost	Additional Cost

A more flexible alternative

If Atlassian’s AI feels too restrictive or pricey for what you need, you’re not out of options. Many teams want a solution that plays nice with the tools they already use, without being forced into an expensive upgrade.

This is where a tool like eesel AI can be a better fit. It’s a flexible AI platform that connects to your tools, including Confluence, but doesn’t lock you in. It’s built to solve the exact problems we’ve been talking about:

• Bring all your knowledge together: Don’t let your AI be limited to just Confluence. eesel AI connects to Google Docs, Notion, past helpdesk tickets, and over 100 other sources, giving your AI the full story so it can give accurate answers.

• Designed for customer support: You can build powerful, customer-facing AI agents that can do more than just find answers. They can perform actions, look up order details, and intelligently route support tickets.

• Test before you go live: eesel AI has a simulation mode that lets you test your AI on thousands of your past support tickets. You can see exactly how it will perform and what its resolution rate will be before a customer ever talks to it.

• Pricing that makes sense: Instead of charging you for every single user on your team, eesel AI has predictable, interaction-based plans. You pay for what you actually use, which makes it much more affordable to automate your support as you grow.

The eesel AI platform showing its simulation mode, which allows teams to test AI performance before deploying it live.

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Is Atlassian Intelligence right for your team?

Atlassian Intelligence offers some genuinely useful AI features, especially for teams that are all-in on the Atlassian ecosystem. It’s great for improving your internal documentation process, getting content drafted faster, and helping new hires get up to speed.

But the limitations are just as important to consider. If your goal is to build a customer-facing AI, if your company’s knowledge is spread across different platforms, or if you’re put off by high, per-user pricing, it might not be the best solution for you. In those cases, a more flexible and specialized AI tool will likely give you more power and better value.

If you’re looking to use your Confluence knowledge base to power smart, customer-facing support and want to get it set up in minutes, see what you can build with eesel AI.