Top 6 Atlassian AI (Rovo) Alternatives for Confluence Teams

TL;DR

• Atlassian AI (Rovo) comes with paid Confluence plans, but it runs on monthly credits shared across your whole organization.
• Extra usage billing for Rovo credits starts on December 3, 2026.
• The alternatives below split into cloud AI wikis and wikis that can run AI models on your own servers.
• If where your models run matters to your team, start with Docmost and XWiki.

Atlassian AI (Rovo) comes with every paid Confluence cloud plan, and it's measured in credits. Standard gets 25 credits per user a month, Premium gets 70, and Enterprise gets 150, all shared across your organization. Admins get a notice when your team has used 80% of its monthly credits, and another when it has used all of them.

Extra usage is switched on by default, so if your team goes past its credits, the AI keeps working and the extra credits get billed. That billing starts on December 3, 2026, at $0.01 per credit. Admins can set a spending limit or turn extra usage off. This guide compares six alternatives, including whether their AI runs on your own servers or in the cloud.

Quick Comparison of Confluence AI Alternatives

This table compares Rovo with six alternatives on where the AI runs and who controls it.

What Is Atlassian AI (Rovo) in Confluence?

Rovo is Atlassian's AI product, built into its cloud apps, including Confluence and Jira. It comes with every paid Standard, Premium, and Enterprise cloud plan and has four main parts: Search, Chat, Agents, and Studio.

What Rovo Includes in Confluence

• Rovo Search lets you search Confluence, Jira, and connected apps by asking a question.
• Rovo Chat answers questions and helps you draft content in a chat window.
• Rovo Agents are Atlassian's ready-made agents, plus agents your team builds for specific jobs.
• Rovo Studio lets your team build its own agents.

In Confluence, you'll also see editor features like Create with Rovo, page summaries, definitions, and AI-generated slides.

Atlassian Intelligence vs Rovo

Atlassian Intelligence is the umbrella term for everything AI at Atlassian, while Rovo is one Atlassian product within that. Rovo is now built into every paid plan.

How Rovo Credits Work in Confluence

Rovo credits are the unit Atlassian uses to measure AI use. Every paid Confluence cloud plan comes with a monthly allowance, and each plan gets a different amount per user.

Included Rovo Credits by Plan

• Shared across the organization: Everyone takes from the same balance, so people who use Rovo a lot can use what lighter users leave untouched.
• Reset monthly: Allowances start fresh each month on your usage billing date. Any credits you haven't used by then expire, so nothing is saved for the next month.
• Combined across apps: If you pay for Jira and Confluence, both allowances are added together. In Atlassian's own example, 100 Confluence Premium users plus 100 Jira Premium users give an organization 14,000 credits a month.

What Uses Rovo Credits

Not every AI action costs credits. Atlassian splits AI actions into free actions and billable events, and the cost of a billable event depends on how much work the AI has to do.

In Rovo Chat, each message you send counts as its own billable event, and a long back-and-forth conversation uses more credits than a single question.

Think deeper is a Rovo Chat mode that plans, searches, and reasons in several steps to give a fuller answer. Teamwork Graph is how Atlassian connects your work across its apps and other tools, and MCP is how outside AI tools like Claude or ChatGPT connect to it. Enriched calls pull context from several tools at once, while looking up a single Jira work item or Confluence page is free.

What Happens When You Finish Your Rovo Credit Allowance

The credit costs in the table above have applied to all Rovo use since August 31, 2026. Before that date, credits were counted under Atlassian's previous pricing. Atlassian will start charging for credits beyond your monthly allowance on December 3, 2026. Once your team uses all of its credits, this is what happens:

• Extra usage is switched on unless an admin turns it off. That means Rovo's credit-based features keep working when your credits run out, and the extra credits are billed once Atlassian starts charging.
• The list price for extra usage is $0.01 per credit, or $10 per 1,000 credits.
• Admins can set a spending limit or switch extra usage off. With it off, billable features pause until the allowance resets or you buy more credits.
• Organization and billing admins get a notice when your team has used 80% of its monthly credits, and another when it has used all of them.

Why Teams Look for Atlassian AI Alternatives

Teams that start looking for an alternative often run into one of these four issues:

• Credits are limited and shared: Everyone uses the same balance, so if a few teammates use Rovo a lot, the rest of the team can run short.
• Extra usage is on by default: If your team goes past its allowance, Rovo keeps working and the extra credits are billed from December 3, 2026. Admins can set a spending limit or turn extra usage off.
• Atlassian picks the models: By default, Rovo sends each request to whichever model Atlassian thinks fits best. Advanced agents let you pick a model, but only from the list Atlassian offers.
• The models run in the cloud: Rovo uses open models that Atlassian hosts alongside models from third-party providers, and none of them run on your servers. Cloud Enterprise organizations can ask Atlassian to use only its own hosted models, but those still run in Atlassian's cloud.

What to Look for in a Confluence AI Alternative

Before you compare tools, ask your vendor these questions.

Why It Matters Where Your AI Models Run

When your wiki runs on your own servers and your AI models run there too, a few things change for your team:

• Data never leaves infrastructure you control.
• You define your own compliance posture (access controls, encryption, retention) instead of inheriting a vendor's.
• Hosting, backups, upgrades, and security patching become your IT team's responsibility.

If your admin connects a cloud AI provider instead, your questions and page content are sent to that provider.

Top 6 Atlassian AI Alternatives

Each of these tools can take over some or all of what Confluence does, and each has its own AI features (details below). If you're also comparing documentation tools more broadly, see our list of the best documentation tools for product teams.

1. Docmost: Best for Teams That Want AI Models on Their Own Servers

Best for: teams that want their wiki and their AI models running on infrastructure they control.

AI features: Docmost has two built-in AI features.

• Ask AI works inside the editor, so you can select some text and have Ask AI improve the writing, fix spelling and grammar, make the text shorter or longer, continue writing, explain it, summarize it, change its tone, or translate it.
• AI Answers lets anyone in your workspace ask a question and get an answer based on your pages, and it only searches the pages that person already has permission to open.

Docmost also supports MCP, which lets external AI assistants search, read, create, and update pages in your workspace with the same permissions as the person connecting them.

Where the models run: wherever your admin decides. Docmost works with Ollama for models on your own hardware, any OpenAI-compatible endpoint, OpenAI, and Google Gemini. If you use Ollama, your questions and page content stay on servers you run.

Keep in mind: AI is part of Docmost's paid edition. A workspace admin sets up the AI provider and can switch AI Answers and Ask AI on or off separately in the workspace settings. For more on running this on your own servers, read about Docmost's self-hosted enterprise wiki with AI.

2. Notion: Best for Teams That Want AI Inside an All-in-One Workspace

Best for: teams that want docs, wikis, and project tracking in one place, with AI built in.

AI features: Notion AI can draft and edit pages, summarize content, and answer questions using your workspace, connected apps like Slack or Google Drive, and the web. Its answers only draw on pages you can already access.

Where the models run: in the cloud, using models from providers such as OpenAI and Anthropic. You can switch between the models Notion offers, but you can't connect your own. Notion also doesn't offer a self-hosted version.

Keep in mind: Notion works best if your team already likes its editor and doesn't need to host anything itself. See how Notion compares to Confluence.

3. Slite: Best for Company-Wide Knowledge Bases With AI Search

Best for: companies that want one wiki for every department, where most people just need quick answers.

AI features: Slite's Ask feature answers questions from your docs, cites the pages it used, and only searches docs you're allowed to view. Slite also has an agent that flags docs that may be out of date and drafts a fix for a person to approve.

Where the models run: in the cloud. Slite doesn't offer a self-hosted version.

Keep in mind: Slite suits teams outside engineering who want a simple wiki with AI search already built in.

4. Guru: Best for AI Answers Delivered Where People Already Work

Best for: support, sales, and operations teams that want answers inside the apps they use all day.

AI features: Guru answers questions from your company knowledge inside Slack, Microsoft Teams, and its browser extension, with references to the sources it used. It also reminds subject experts to verify content on a schedule, so readers can see what's been checked.

Where the models run: in the cloud. Guru doesn't offer a self-hosted version.

Keep in mind: Guru works best on top of the tools your team already uses. Teams that want a full page-based wiki to replace Confluence may find it a looser fit.

5. XWiki: Best for Open-Source Wikis With Local Model Support

Best for: teams that want an open-source wiki they can extend and host themselves.

AI features: XWiki's LLM Application, which XWiki still labels beta, adds a chatbot that answers questions from your wiki based on each user's access rights. It can also summarize, rephrase, and translate existing content.

Where the models run: wherever your admin points it. XWiki connects to any server that follows the OpenAI API format, so that can be a cloud provider like OpenAI or a model server you run yourself, such as Ollama or LocalAI.

Keep in mind: XWiki and Docmost both let you keep AI on your own infrastructure. In XWiki, you connect your own model server and add each model by hand, so it suits teams comfortable with that kind of setup. See how XWiki compares to Confluence for more detail.

6. Outline: Best for Lightweight Self-Hosted Team Wikis

Best for: teams that want a fast, simple wiki they can host themselves.

AI features: Outline's AI Answers responds to questions typed into search, shows the documents it used, and only draws on documents the user can access.

Where the models run: in the cloud on hosted plans. On self-hosted installs, AI Answers needs a licensed edition and an OpenAI or Azure OpenAI key, so the models run with that provider.

Keep in mind: Outline suits teams that mostly want quick answers from a simple wiki. If you plan to self-host without a license, AI Answers won't be available.

How to Move From Confluence to an Atlassian AI Alternative

Leaving Confluence Cloud usually means leaving Rovo too, since Rovo is built into Atlassian's cloud apps. Start with the spaces your team uses most, check how each tool imports Confluence content, and test page permissions before anyone relies on AI answers.

If you pick Docmost, Confluence import is available on the paid edition. Export a Confluence space as HTML, then upload it through Docmost's import dialog. The import keeps your formatting, page tree, internal links, images and attachments, and Draw.io diagrams. See how to import a Confluence space into Docmost for the steps.

For a closer look at two of the tools above, see how Notion compares to Confluence and how XWiki compares to Confluence.

Frequently Asked Questions

1. Is Atlassian AI (Rovo) Included With Confluence?

Yes, on paid plans. Standard, Premium, and Enterprise Confluence cloud plans include Rovo along with a monthly allowance of 25, 70, or 150 credits per user. Some features, like Rovo Search, don't use credits at all.

2. What Happens When You Run Out of Rovo Credits?

If extra usage is on, which it is by default, credit-based features keep working and you'll be billed at $0.01 per credit up to the spending limit your admin sets. If extra usage is off, those features pause until your allowance resets or you buy more credits. Extra usage billing starts on December 3, 2026.

3. Which AI Models Does Rovo Use?

Rovo uses a mix of open models that Atlassian hosts and models from third-party providers, including OpenAI, Anthropic, and Google. By default, Atlassian routes each request to whichever mix of models it thinks fits the task. Cloud Enterprise organizations can ask Atlassian to use only its own hosted models. Atlassian says those third-party providers don't keep your inputs and outputs or use them to improve their services.

4. Does Rovo Work With Confluence Data Center?

Yes, through a connector. Atlassian's Rovo connector syncs Confluence Data Center content to the cloud so Rovo Search, Chat, and agents can use it. You need an active cloud Premium or Enterprise plan for Jira, Confluence, Jira Service Management, or Teamwork Collection. The AI itself still runs in Atlassian's cloud.

5. Can Admins Turn Rovo Off?

Not completely. Organization admins can block Rovo's AI features for Confluence in Atlassian Administration, which turns off features like Chat and agents in that app. Rovo Search and Studio stay available because Atlassian treats them as part of its platform.

6. Is Rovo SOC 2 and HIPAA Compliant?

Rovo has completed external assessments and certifications for SOC 2 and ISO 27001. For HIPAA, Atlassian says Rovo can be used in a HIPAA-compliant way within limits. Rovo Chat, Agents, and Search are supported in HIPAA-enabled Confluence, Jira, Jira Service Management, and Jira Product Discovery environments. Rovo's browser extension, command-line tool, MCP server, mobile app, and desktop app must not be used with protected health information. To turn Rovo on in a HIPAA-enabled environment, contact Atlassian Support.

See Docmost's AI Running on Your Own Servers

If you want AI search and writing help from models your team controls, contact our sales team to see how Docmost's AI works on your own infrastructure.