Atlassian Confluence AI roadmap assistant: A 2025 guide

Let’s be honest, creating a product roadmap that people actually follow is tough. It needs to be more than just a list of features. It has to tell a clear, compelling story that gets your entire organization on the same page and moving in the same direction. The big problem? Building and maintaining that story often means sinking countless hours into manual work, from brainstorming and drafting to summarizing updates and just trying to keep everything current.

Atlassian is trying to solve this by building some pretty powerful AI capabilities directly into Confluence. This isn’t one single tool, but a bunch of AI-driven features meant to help you brainstorm, draft, and manage your roadmaps more easily.

In this guide, we’re going to break down what the Atlassian Confluence AI roadmap assistant is, what it can actually do, and where it falls a bit short. We’ll walk through its main features, look at the pricing, and show you how to get the most out of it for your planning.

What is the Atlassian Confluence AI roadmap assistant?

So, you can’t actually buy something called the "Atlassian Confluence AI roadmap assistant." It’s really just the name for the combined power of Atlassian Intelligence (and its beefier big brother, Rovo) working behind the scenes inside Confluence. Think of it less as a separate product and more as a built-in helper that lives inside the tools you already use every day.

Its main purpose is to use generative AI to speed up all the tasks that come with planning, documenting, and talking about your product roadmap. It works by understanding simple, natural language prompts. For instance, just by typing "/ai" on a Confluence page, you can ask it to generate content, summarize a long document, or even build automation rules based on what’s happening in your Confluence spaces and linked Jira projects.

The biggest win here is cutting down on all that manual grunt work. It’s designed to help you get from a rough idea on a whiteboard to a well-documented plan your team can actually execute, all without ever having to leave the Atlassian ecosystem.

Core features of the Atlassian Confluence AI roadmap assistant

The real magic of this assistant comes from a few key AI features that you can use at different stages of building a roadmap. Let’s take a look at the most important ones.

Whip up content from scratch (or fix what you’ve got)

Staring at a blank page is the worst. Atlassian Intelligence can give you a running start by generating first drafts of roadmap documents, project plans, competitive analyses, or marketing strategies. You just give it a simple prompt, and it will build out a structured document using one of Confluence’s built-in templates.

It’s not just for creating brand-new content, either. You can highlight a chunk of text you’ve already written and ask the AI to rewrite it with a different tone, like turning a super technical description into a formal update for your stakeholders. It can also chop down long, rambling paragraphs or just do a quick sweep for grammar and spelling mistakes.

Brainstorm ideas and give them structure

The early stages of roadmapping are always a bit chaotic. The AI features baked into Confluence Whiteboards are perfect for this. You and your team can just dump a bunch of ideas out, and then ask the AI to automatically sort them by theme. This helps you quickly spot patterns and group related features or ideas together without a ton of manual sorting.

And you know how it is after a good brainstorming session or meeting, you’re left with a bunch of notes that you have to turn into a real plan. The "Find action items" prompt is a huge time-saver here. It scans the page and pulls out a tidy list of tasks, making it much easier to turn a conversation into a structured to-do list.

Get the gist with quick summaries

Roadmap documents can get long. Really long. The AI’s summarization feature is great for helping stakeholders and new team members get up to speed without having to read every single word. It can generate a quick summary of a massive Confluence page, a project update, or even a comment thread that’s gone off the rails.

For documents that are constantly changing (which is most of them), the "Changes since your last visit" feature is incredibly handy. It gives you a short summary of exactly what’s been updated, so you can stay in the loop without having to manually compare different versions of the document.

Create automations with plain English

Keeping your documentation organized is key to a roadmap that people can actually use. Atlassian Intelligence lets you build automation rules just by describing what you want. For example, you could tell it to "Archive inactive pages after 6 months and alert the page creators," and it will build that rule for you. This is a great way to make sure your Confluence space doesn’t get cluttered with old, irrelevant plans.

How to use the Atlassian Confluence AI roadmap assistant

Alright, let’s see how this actually works. Here’s a quick look at how you can use these features to build out your roadmap in Confluence.

Start with a roadmap template

You don’t have to start from an empty page. Confluence has a whole library of templates for things like a "Marketing plan" or general "Project Planning." Using one of these gives you a solid structure to build on, so you can spend your time on the actual content instead of messing with formatting.

Use the "/ai" command to build content

The "/ai" command is your go-to for talking to Atlassian Intelligence. The process is pretty simple and you’ll get the hang of it quickly:

1. Open up a new Confluence page and type "/ai".

2. Type out a prompt that describes what you need. Something like: "Brainstorm key initiatives for our Q3 product launch focused on improving user onboarding."

3. The AI will spit out a list of ideas. You can look it over and pop it right onto the page.

4. Once the text is on the page, you can highlight it and use the AI again to tweak the tone, summarize it for an executive brief, or even expand on a specific point you like.

Connect Jira and Confluence

A roadmap in Confluence is way more powerful when it’s connected to the actual work happening in Jira. You can embed Jira roadmaps, project boards, or issue filters directly onto your Confluence page. This creates a single, living document that stays up-to-date automatically as your team completes tasks.

This is where the AI brings another layer of value. Atlassian Intelligence can summarize the status of linked Jira epics and issues right there on your Confluence page. This means stakeholders can get a high-level view of progress without having to jump over to Jira and get lost in a sea of tickets. It keeps the big picture and the day-to-day work all in one place.

Limitations of the native Atlassian Confluence AI roadmap assistant

While Atlassian Intelligence is a solid addition to Confluence, it has one major blind spot: it only knows what’s inside the Atlassian world. This creates some pretty big limitations when you’re trying to build a roadmap based on all your data, not just some of it.

• It only knows what’s in Atlassian. Your best product insights don’t all live in Confluence and Jira. They’re scattered all over the place. Atlassian’s AI can’t see the crucial customer feedback in your Zendesk tickets, the feature requests being thrown around in Slack, or the detailed strategy docs your leadership team put together in Google Docs. Trying to build a roadmap without this info is like trying to plan a road trip with only half the map.

• It’s a generalist, not a specialist. Atlassian Intelligence is a general-purpose assistant. It’s good at summarizing text and brainstorming, but it isn’t specifically trained to understand the little details of customer support chats or service desk tickets. These conversations are a goldmine of information about what frustrates your users, what bugs keep popping up, and what features they’re begging for, but the native AI isn’t really built to pull those specific insights out.

• Setup can be a headache. Getting the most advanced AI features, like Rovo and automations that work across different products, isn’t always a simple flip of a switch. It can require a lot of configuration and is often locked behind the more expensive subscription plans. There’s no easy, risk-free way to test how the AI will handle complex tasks before you commit to a big rollout.

This video demonstrates how Atlassian Intelligence can break down work into smaller tasks, a key feature for roadmap planning.

Atlassian Confluence AI roadmap assistant pricing and feature availability

It’s really important to know that most of the powerful AI features we’ve been talking about aren’t available on every Confluence plan. To get access to Atlassian Intelligence, you’ll need to be on a Premium or Enterprise plan.

Here’s the deal with the Confluence Cloud plans and what you get at each level:

• Free: This is $0 for up to 10 users. You get basic templates and 3 whiteboards, but no Atlassian Intelligence.

• Standard: This plan is $5.16 per user, per month. It includes Rovo Search & Chat and 100 automation runs.

• Premium: At $9.73 per user, per month, you get everything in Standard plus unlimited whiteboards, 1,000 automation runs per user, and more AI credits to play with.

• Enterprise: For this, you’ll need to contact sales for a custom price. It includes everything in Premium plus unlimited automations and Atlassian Analytics.

As you can see, the features that really make the AI roadmap assistant shine, like unlimited whiteboards for brainstorming and more automations, are reserved for the pricier plans.

The better way: Unify all your knowledge for smarter roadmaps

The main problem is still there: roadmaps built only on information from Confluence and Jira are incomplete. You’re making big decisions without seeing the full picture of what your customers are telling you and what your internal teams are talking about.

This is where a tool like eesel AI changes the game. While Atlassian’s AI is great within its own universe, eesel AI is built to connect all of your company’s knowledge, no matter where it’s stored.

Here’s how that leads to a much smarter way of building roadmaps:

• Bring all your knowledge together, instantly. eesel AI connects to your Confluence workspace, of course, but it doesn’t stop there. It integrates with over 100 other tools, including help desks like Zendesk and Intercom, chat apps like Slack, and knowledge bases like Google Docs and Notion. This gives your AI a complete, 360-degree view of your business, letting it find insights you would have totally missed otherwise.

This infographic shows how eesel AI connects various knowledge sources, overcoming the limitations of a siloed Atlassian Confluence AI roadmap assistant.

• Get up and running in minutes. Forget about long sales calls and complicated setups. eesel AI is designed so you can do everything yourself. You can connect your knowledge sources with a few clicks and have a working AI assistant in minutes, all without ever having to talk to a salesperson.

• Test it out with confidence. One of the trickiest things with AI is trusting that it’s giving you good information. eesel AI has a powerful simulation mode that lets you safely test your AI on thousands of your company’s past conversations or documents in a sandbox environment. You can see exactly how it would answer questions or summarize trends based on your entire knowledge base, all completely risk-free. This is a huge deal for building a roadmap assistant that you and your stakeholders can actually rely on.

A screenshot of eesel AI's simulation mode, which allows you to test its capabilities with your company's data risk-free, a feature not available in the standard Atlassian Confluence AI roadmap assistant.

Instead of being stuck in a single ecosystem, you can build a roadmap that’s informed by every customer conversation, every internal discussion, and every strategic document. If you’re serious about creating a data-driven roadmap, connecting all your knowledge isn’t just a nice idea, it’s essential.