The ultimate guide to your Confluence AI copilot in 2026

Let's be honest, finding the right answer in your company’s shared drive can feel like a full-time job. Your team's best knowledge is scattered everywhere. Confluence is a powerful hub for your important docs, project plans, and all that hard-earned institutional wisdom, and getting that information into the right hands at the right moment is key to team success.

This is where the idea of a "Confluence AI copilot" pops up. It acts as a smart assistant, efficiently navigating through all that content for you. But what does that really mean?

This guide will walk you through what a Confluence AI copilot is, look at the different ways to get one, and explore how integrated options can make your mature Confluence setup even more effective.

What is a Confluence AI copilot?

The term "Confluence AI copilot" refers to two main ways of interacting with your data. Let’s clear that up right now.

1. The built-in AI: This is the artificial intelligence that Atlassian has built directly into Confluence, known as Atlassian Intelligence and Rovo. Its job is to help you create, summarize, and find content while you’re already working inside a Confluence page.

2. The external connector: This is when you use a third-party tool, like Microsoft Copilot, and connect it to your Confluence account. This lets you ask questions and pull information from Confluence while you’re working in other apps, like Microsoft Teams or a chatbot.

Both of these aim to make your Confluence knowledge easier to use, offering unique benefits depending on your team's specific workflow needs. Let's dig in.

The native approach: Atlassian Intelligence

Atlassian Intelligence (and its next evolution, Rovo) is Confluence’s very own enterprise-grade AI assistant. The best way to think about it is as a helper that lives right inside your Confluence pages. It's designed to provide a seamless experience for teams who are actively writing and managing content.

What can Atlassian Intelligence do?

The main purpose of Atlassian Intelligence is to support users who are already logged into and working within Confluence. It’s a mature tool that is highly effective for several tasks:

• Enhancing drafting: It can help you draft a new page from scratch, fill out a project plan template, or provide inspiration when you are starting a new document.

• Providing summaries: When you’re faced with an extensive project doc or a long thread of meeting notes, the AI can whip up a quick summary so you get the key takeaways immediately.

• Automating repetitive tasks: It helps automate repetitive elements within your Confluence workflows, making document management more efficient.

• A friendlier search: It gives you a conversational way to find information that’s tucked away in your various Confluence spaces.

For instance, a project manager could ask it to summarize a detailed project plan for an executive who needs a quick update. Or a new team member could ask it, "Where can I find our company's remote work policy?" and get a direct answer pulled from the right page.

Pricing: How much does Atlassian Intelligence cost?

Atlassian includes its AI features as part of its higher-tier Confluence Cloud plans, providing a robust package for growing teams. Here’s a quick look at the plans as of 2026:

Plan	Price (per user/month)	AI Features Included
Free	$0 (up to 10 users)	Standard features included.
Standard	$6.05	Advanced collaboration features included.
Premium	$11.55	Atlassian Intelligence features included.
Enterprise	Billed annually	Atlassian Intelligence features included.

Source: Atlassian Confluence Pricing

Considerations for a native-only approach

While it's a fantastic tool for content creators, Atlassian Intelligence is specialized for the Atlassian ecosystem, which means there are a few things to consider if your company's knowledge is spread across many platforms:

• Workspace-specific focus: The AI is excellent at searching Confluence, as it is built to provide deep expertise within that specific workspace. For teams that also use Zendesk, Slack, or Google Docs, a complementary tool might be useful to bridge those different sources.

• Internal team focus: This tool was built primarily for your internal team members to use within their workflow. If you need to power a customer-facing support bot or answer questions on a public website, you may look for an additional integration.

• Information-focused capabilities: Atlassian Intelligence is a powerful search and drafting tool. While it excels at information retrieval, teams looking to automate actions in other systems, like Shopify or Jira, often use it alongside an agentic AI platform.

The connector approach: Using an external AI copilot

The second option is to use a connector that pulls your Confluence data into a different AI tool, like Microsoft 365. This allows your team to access Confluence information without having to leave the other applications they use throughout the day.

How do external connectors work?

Basically, you set up a connector that indexes the content from your Confluence instance (both Cloud and On-premise versions are supported). This creates a searchable bridge that an external AI tool, like Microsoft Copilot, can then access.

Once it's running, a team member could be in Microsoft Teams and ask a question. The copilot searches its connected sources, which now includes your Confluence data, and provides an answer with a link back to the original Confluence page. Microsoft provides connectors for both Confluence Cloud and On-premise setups.

Why use an external AI copilot?

The main advantage here is increased convenience by reducing context switching. Your team can stay focused in their primary workspace while still benefiting from Confluence's knowledge.

• An IT support agent could find a troubleshooting guide from Confluence without leaving their Microsoft Teams chat.

• A sales manager could ask for the latest project updates right from their Outlook inbox.

• An engineer could pull up key design documents from Confluence while they’re reviewing code.

This video demonstrates how you can set up the connection between Confluence and Microsoft 365 Copilot.

Implementation considerations for external connectors

While these connectors offer great flexibility, there are some technical aspects to keep in mind during implementation:

• Administrative setup: Setting up these connectors requires coordination between admins of both systems. This ensures security and proper configuration, particularly for OAuth authentication or API keys. If you're using an on-premise version of Confluence, there are specific deployment steps to follow.

• Sync frequency: New content is synced according to standard system intervals. While most updates are frequent, it is important to manage user permissions across both platforms to ensure access levels remain consistent.

• Functional scope: Similar to native AI, these connectors are primarily built for search and summary. They are excellent for finding information, while other agentic tools can be added if you require more complex workflow automation.

• Subscription management: This model involves managing two separate systems and their respective per-user licenses, which is a common approach for enterprises wanting to bridge different software ecosystems.

The unified approach: From a simple copilot to a true AI agent

If you want to maximize your Confluence investment while also connecting other tools, the modern solution is to use a true AI agent. This is a platform that can access all your company knowledge, including Confluence, and take action on it. This is exactly what platforms like eesel AI are built for.

Why unifying knowledge is key

To get the most helpful AI assistance, the AI benefits from having a complete view of your company's data. A unified platform works alongside Confluence to provide a comprehensive map of your information.

A real AI agent can connect the dots between your trusted Confluence docs, your helpdesk history, and your communication channels. This allows it to understand full context and deliver even more precise help.

How eesel AI builds a powerful AI agent

eesel AI was designed to complement your existing tools by unifying scattered knowledge and turning it into action.

• Fast deployment: You can connect Confluence, Zendesk, Slack, and other tools through a simple dashboard. It’s a self-serve process that allows you to have a working AI agent ready in minutes.

• Comprehensive knowledge integration: The eesel AI Confluence integration works beautifully with your existing pages, blending that knowledge with information from your helpdesk tickets, macros, and other sources to create a unified source of truth.

• Complete customization: You can use a simple prompt editor to shape the agent's personality. Most importantly, you can define the real actions it can take, such as updating tickets or looking up order information via API, all while using Confluence as its primary knowledge base.

• Reliable testing: Before launching, eesel AI's simulation mode lets you test the agent on your past support tickets. You can see how it uses your Confluence data to respond, ensuring accuracy and confidence before it goes live.

Putting it all together: Choosing your AI copilot strategy

To make things simple, here’s a guide to help you figure out the right path based on your team's needs in 2026.

If you need to...	Your best option is...	Considerations...
Write and summarize content while you're inside Confluence.	Native Atlassian Intelligence	Best for focusing purely on Confluence content.
Search your Confluence docs from inside your Microsoft 365 apps.	An external connector (like Microsoft Copilot)	Best for teams focused on the Microsoft ecosystem.
Automate support, answer questions, and take real action using knowledge from Confluence and all your other tools.	A unified AI platform like eesel AI	Best for taking action across multiple platforms.

What's next for your Confluence AI copilot?

A Confluence AI copilot is a brilliant way to make your institutional knowledge more accessible. As Confluence continues to lead as a mature, reliable platform, adding an AI agent layer can help you automate entire workflows.

Ready to go beyond a search-only Confluence AI copilot?

Your Confluence knowledge base is a vital asset. By pairing it with a powerful AI agent, you can provide 24/7 support that resolves tickets and assists your team with the full context of your documentation.

Start your free trial with eesel AI and see how you can enhance your Confluence knowledge and automate your support today.