A practical guide to Confluence Agentic AI in 2025

Stevia Putri

Stanley Nicholas
Last edited October 7, 2025
Expert Verified

Let’s be honest, we’re all trying to make better use of our company knowledge. So it’s no surprise that AI is becoming the tool of choice for wrangling the mountains of information we store in places like Confluence. But there’s a new term making the rounds: "Agentic AI." This isn’t just about AI that can whip up a first draft; it’s about AI that can understand what you want, make some decisions, and actually get things done on its own.
This guide will give you a straight-up look at Atlassian’s own Confluence Agentic AI, which is part of Atlassian Intelligence. We’ll walk through what it’s good at, its best use cases, and, more importantly, where it hits a wall for teams that need powerful automation that works across all their tools, not just one.
What is Confluence Agentic AI?
Confluence Agentic AI isn’t a separate thing you have to buy. It’s the set of AI-powered features baked directly into Confluence, delivered through something called Atlassian Intelligence and its more advanced agents, called Rovo. The easiest way to think of it is as an assistant that lives inside your Confluence pages.
Its main job is to help your team create, organize, and find information more easily without having to jump to another app. This is a pretty big step up from old-school automation, which just follows rigid "if this, then that" rules. Confluence’s AI can understand what you’re asking in plain English, create new content from scratch, and help you make sense of existing documents. It’s designed to make knowledge management feel less like a chore.
Core features and capabilities of Confluence Agentic AI
Before we dive into the limitations, it’s only fair to talk about what Atlassian’s built-in AI actually does. When you use it for what it was made for, it’s a pretty helpful tool for anyone who spends their day working in Confluence.
Generate and transform content
We’ve all been there: staring at a blank page, waiting for inspiration. Atlassian Intelligence can give you a nudge. By typing /ai
in the editor, you can ask it to draft a new page, brainstorm ideas for a marketing campaign, or outline a project plan. It’s also pretty good for editing. You can highlight a chunk of text and ask the AI to make it sound more formal, shorten it into a summary, or just fix your grammar and spelling.
A screenshot showing the Confluence Agentic AI in action, generating content from a prompt.
Summarize information instantly
Some Confluence pages can get incredibly long. Instead of carving out 30 minutes to read a dense document, you can ask the AI for the highlights. It can summarize an entire page, a long comment thread, or even tell you what’s new since you last looked at a doc. It’s a genuine time-saver for getting up to speed on projects.
Automate simple workflows
The AI in Confluence can also help you build some basic automations. You can describe what you want to do in natural language, and it will help you create a rule. For example, you could tell it to "Archive inactive pages after 6 months and notify the page creators." This is where it starts to feel a bit more "agentic," as it helps you set up little workflows that run in the background to keep your Confluence space from getting too cluttered.
This video demonstrates how to use Rovo in Confluence to brainstorm and create various types of content with AI prompts.
Here’s a quick rundown of what it offers:
Feature | Description | Best For |
---|---|---|
Content Generation | Drafts pages, blogs, and plans from a simple prompt. | Getting past writer’s block and creating first drafts. |
Content Transformation | Rewrites existing text to change the tone, length, or fix mistakes. | Quickly editing and polishing up documentation. |
Summarization | Creates short summaries of pages, comments, or recent updates. | Catching up on project updates without reading everything. |
Automation Builder | Uses plain English to help you build automation rules inside Confluence. | Handling repetitive, in-platform tasks like archiving old pages. |
Limitations of the built-in Confluence AI
While having an AI assistant right inside your knowledge base is handy, it’s not a silver bullet for automation. Relying only on a tool that’s stuck in a single platform can create some serious roadblocks when you’re trying to automate processes from start to finish.
Locked inside the Atlassian ecosystem
Here’s the biggest catch: Confluence’s AI can only see and act on data within Confluence and other connected Atlassian tools. But think about it, where does your company’s knowledge really live? It’s probably scattered all over the place: in Google Docs, Slack messages, and especially in past help desk tickets on platforms like Zendesk or Freshdesk.
When your AI can’t access all those sources, it’s working with incomplete information. It might give you partial answers simply because it can’t see the whole picture. Some of your support team’s best troubleshooting steps are probably buried in old tickets, but Confluence AI has no way to find them.
Confluence Agentic AI: An assistant, not an autonomous agent
There’s a huge difference between an AI that helps you do something and an AI that does it for you. Atlassian’s AI is a fantastic assistant for work that happens inside Confluence. It helps you write and organize.
But it wasn’t built to be an autonomous agent that works in the tools where your team talks to customers or employees, like your help desk. For instance, the AI can help you write the perfect how-to article in Confluence, but it can’t take that article, understand a customer’s question in a Zendesk ticket, and resolve that ticket by itself. It’s a content helper, not a problem solver.
Lack of risk-free testing and gradual rollout
Letting an AI talk to your customers is a big step, and you have to be confident it’s going to do a good job. Most teams want to test an AI out before unleashing it. The native AI tools in Confluence don’t really offer a simulation mode where you can see how the AI would have performed on your past support tickets. This makes it almost impossible to guess how effective it will be or figure out if the investment is worth it.
This is a major downside compared to a platform like eesel AI, which has a simulation mode that lets you test your AI on thousands of past tickets before you flip the switch. You know exactly what you’re getting before you commit.
Complexity and cost can be a barrier
Finally, Atlassian’s best AI features are tucked away in its more expensive plans, Premium and Enterprise. On top of that, its advanced AI, Rovo, uses a credit system. This can be tricky to keep track of and might lead to unpredictable costs. For a lot of teams, this makes it tough to budget for and scale up their AI usage.
Unlocking your Confluence knowledge with a dedicated AI platform
So, if Confluence’s built-in AI has these roadblocks, what’s the alternative? The next logical step for any team serious about turning their knowledge into actual automation is a dedicated, third-party AI platform that can connect to all of your tools.
Unify all your knowledge, instantly
A platform like eesel AI was designed to solve the silo problem. It connects to Confluence with just a click, but it doesn’t stop there. It also plugs into your help desks, shared drives, and chat tools. It can even train on your past support tickets, which is one of the quickest ways for an AI to learn your company’s specific tone and the most common fixes your team uses.
Go from setup to go-live in minutes, not months
Forget about mandatory demos and long onboarding calls. A truly self-serve platform like eesel AI lets you sign up, connect your knowledge sources, set up your AI agent, and get going all on your own.
Even better, you can use its simulation mode to test your setup with confidence. Run the AI over thousands of your historical tickets and see exactly how many it would have resolved and how much money you would have saved. You get a clear picture of its performance before it ever interacts with a single customer.
Take real, automated action where it counts
This is what "agentic" AI is really about. Instead of being an assistant trapped inside Confluence, a platform like eesel AI puts autonomous AI agents directly into the tools your team uses all day, every day, like Zendesk, Freshdesk, or Slack.
These agents use the knowledge from your Confluence pages (and all your other sources) to perform actual tasks, such as:
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Instantly resolving customer tickets with accurate answers.
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Drafting helpful replies for your human agents to speed up their workflow.
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Automatically triaging and tagging incoming requests to keep things organized.
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Looking up order information or customer details from other systems using custom actions.
A look at Confluence Agentic AI pricing and plans
As mentioned, Atlassian’s AI features are mostly available on their pricier plans. According to their pricing page, here’s a rough idea of what you’ll pay:
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Free Plan: No Atlassian Intelligence features.
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Standard Plan (starting at $5.16/user/month): Includes some Rovo features but with limited AI credits (25 per user/month).
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Premium Plan (starting at $9.73/user/month): This is where most of the core AI features unlock, with more credits for Rovo (70 per user/month).
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Enterprise Plan (custom pricing): Offers the most AI credits (150 per user/month) and other advanced features.
The main thing to watch out for is the credit system for Rovo. These credits are used for things like generating content and summarizing pages. This can make your monthly bill unpredictable and might not be enough if your team starts to rely heavily on AI.
From content creation to true automation
So, what’s the bottom line? Atlassian’s built-in Confluence Agentic AI is a genuinely helpful tool for making teams more productive inside the Confluence platform. It’s great for drafting content and finding information faster.
But for teams that want to turn their valuable Confluence knowledge into an automated engine for their support and operations, its limitations can become a real headache. To pull all your scattered knowledge together, take action across all your tools, and deliver automation you can actually measure, you need a dedicated platform that was built for that specific job.
Ready to activate your Confluence knowledge?
Your Confluence workspace is sitting on a goldmine of answers. Instead of letting that information just sit there, you can turn it into your most effective and efficient support agent.
With eesel AI, you can connect Confluence in minutes and build an AI agent that resolves tickets, assists your team, and works across your entire set of tools.
Start your free trial today and see what your knowledge base is truly capable of.
Frequently asked questions
Confluence Agentic AI refers to the AI-powered features integrated directly into Confluence through Atlassian Intelligence. It acts as an in-platform assistant to help teams create, organize, and find information more efficiently within their Confluence spaces.
Confluence Agentic AI can generate and transform content, helping with drafting pages or editing existing text. It can also summarize long documents or comment threads and assist in building simple automation rules within Confluence using natural language.
The primary limitation is its confinement to the Atlassian ecosystem, meaning it cannot access or act on data outside these tools. It functions as an assistant for in-platform tasks rather than an autonomous agent capable of resolving customer issues across various platforms.
No, Confluence Agentic AI is largely restricted to the Atlassian ecosystem. It cannot directly access or utilize knowledge from external platforms like Zendesk, Google Docs, or Slack messages to perform actions or provide comprehensive answers.
Confluence Agentic AI features are mostly available on Atlassian’s Premium and Enterprise plans. Its advanced AI, Rovo, operates on a credit system, which can lead to unpredictable costs if your team’s usage exceeds the allocated credits per user.
Confluence Agentic AI is primarily an assistant for content creation and organization within Confluence, not an autonomous agent for customer support. It can help write internal documentation but cannot independently understand customer questions in a help desk and resolve tickets.