Atlassian Intelligence Edit Content: The ultimate 2025 guide

We’ve all been there. You spend what feels like half your day just writing tickets, drafting reports, or updating the company wiki. It's a necessary grind, but it often gets in the way of the actual work you're supposed to be doing.

Atlassian noticed this drain on productivity and introduced Atlassian Intelligence, a set of AI-powered tools meant to help teams create and polish content right inside products like Jira and Confluence.

This guide will walk you through how to use Atlassian Intelligence Edit Content features, what they’re good for, and some pretty big limitations you need to be aware of. While built-in tools are convenient, they often can't compete with more specialized platforms. We’ll explore why a more powerful alternative might be the right move for teams whose knowledge isn’t all neatly tucked away in the Atlassian suite.

What is Atlassian Intelligence?

First off, Atlassian Intelligence isn't something you buy separately. It’s more like a collection of AI features that are now part of Atlassian's cloud products, including Jira, Confluence, Trello, and Bitbucket. The main idea is for it to act as a "virtual teammate" that helps you generate, summarize, and tweak text to save time and communicate more clearly.

It runs on a combination of Atlassian's own machine learning models and tech from OpenAI. Atlassian says it uses your company’s project and service data to give you more personalized results. In theory, this means it learns your team’s lingo and workflows to offer up more useful suggestions.

How to use Atlassian Intelligence to edit content

Atlassian Intelligence really boils down to a few core text-editing functions. Let’s take a look at what it can do and how you can put it to work.

Generating new content

Staring at a blank page is the worst. Atlassian Intelligence can give you a hand by generating content from a simple prompt. In any editor in Jira or Confluence, just type /ai or click the AI icon to open a command window.

From there, you can ask it to do things like:

• Draft an outline for a new how-to article in Confluence.

• Create user stories or acceptance criteria from a short description in a Jira ticket.

• Brainstorm a few edge cases you should test for during QA.

• Suggest subtasks to break down a bigger story.

It’s a pretty decent way to get over that initial writer's block and get a basic structure down.

Improving existing content

This is where the editing features really come in handy. Once you have some text on the page, you can just highlight it to pull up a menu of AI editing options. It’s a neat way to polish your writing without having to switch tabs or open another tool.

Here are the main things you can do:

• Change tone: You can instantly make your writing sound more professional, casual, or empathetic. This is super useful for making sure your comments in a Jira Service Management ticket land the right way with a customer.

• Improve writing: Clean up your text with a click, fixing basic spelling and grammar mistakes.

• Simplify language: There's a prompt to "Explain this like I am five," which is great for making dense, technical info easier for non-technical folks to grasp.

• Translate: If you work with a global team, the AI can translate content into 23 different languages (though Atlassian notes this is still a Beta feature).

Summarizing text and finding action items

Nobody likes wading through long documents or endless comment threads. Atlassian Intelligence can scan a page, ticket description, or comment section and pull out the key points for you.

You can use it to:

• Create a quick "TL;DR" summary for the top of a long Confluence page.

• Pull out a list of action items from a page of meeting notes.

• Get a summary of a long comment history in a Jira ticket so you can get up to speed without reading every single reply.

This feature is great for condensing information, as long as all that information lives on one Atlassian page.

Use cases and limitations

While these features sound useful, their day-to-day application shows some significant cracks. Let's look at how Atlassian Intelligence works in different products and where it falls short.

In Confluence: For documentation drafts

Atlassian Intelligence is pretty good for banging out first drafts of articles in Confluence. It helps teams get past writer's block and can keep the tone consistent across their documentation, which definitely helps speed things up.

The limitation: Here’s the catch, though. How many teams keep all of their important info just in Confluence? Probably not many. Key documents often live in Google Docs, Notion, or buried in Slack threads. Atlassian Intelligence is completely blind to anything outside its own ecosystem. This creates frustrating information silos and holds the AI back. Your AI assistant is only as smart as the data it can access, and if your most current process doc is in Google Docs, the Confluence AI has no idea it exists.

In Jira & JSM: For ticket and comment clarity

In Jira and Jira Service Management, the AI can help agents and developers write clearer, more organized updates. It might reformat a messy block of text into a proper user story or help a support agent soften their tone before replying to a frustrated customer.

The limitation: At their core, these are editing tools, not automation tools. Atlassian Intelligence can help an agent write a better reply, but it can’t actually resolve the ticket, send it to the right department, or look up a customer's order in Shopify. It’s just helping the human in the loop, not reducing the number of tickets they have to deal with.

The workflow still involves a person triaging the ticket, using AI to help write a response, and then manually figuring out the next step. Real automation handles the entire process for common questions, freeing up your team to focus on more complex problems.

Pricing and setup

Getting started with Atlassian Intelligence isn't as simple as you might think. It's not a separate add-on you can purchase; it's bundled into Atlassian’s more expensive subscription plans. An organization admin has to activate it for the entire workspace first.

So, how much does it cost? It's typically included in Premium and Enterprise plans for products like Jira, Trello, and Bitbucket. For Confluence, it's also available on the Standard plan.

And this brings us to the biggest hurdle: to get these AI features, your whole organization usually has to jump up to a pricier Atlassian subscription. You’re not just paying for AI; you’re paying for an entire plan upgrade that might be overkill for your needs, and that cost applies to every user.

This approach is a world away from platforms like eesel AI, which offers clear, predictable pricing based on how much you actually use the service. With eesel AI, you can get going in a few minutes on your own, without a required sales call or drawn-out approval process, and you only pay for what you use.

Beyond editing: A better way to use AI with unified knowledge

Atlassian Intelligence is a decent writing assistant, but it’s stuck inside the Atlassian bubble. It's focused on tweaking text, not on genuine workflow automation. For teams that need more, an AI platform like eesel AI connects to all your tools to deliver real, end-to-end automation.

Here’s a quick comparison:

Feature	Atlassian Intelligence	eesel AI
Knowledge Sources	Limited to Atlassian products (Jira, Confluence)	Connects to 100+ apps (Confluence, GDocs, Slack, Zendesk, etc.)
Primary Function	Content editing & generation assistant	Autonomous agent for ticket resolution, triage, & Q&A
Setup	Requires plan upgrade (Premium/Enterprise)	Self-serve setup in minutes, no mandatory sales call
Automation	Helps users write text manually	Takes actions: tags tickets, looks up orders, escalates
Testing	No simulation mode available	Powerful simulation on past tickets to forecast ROI
Pricing Model	Bundled into expensive plans	Transparent, predictable pricing based on interactions

Here’s why that difference is a big deal:

• Unify all your knowledge, instantly: Don't let your AI be limited by where you store your info. eesel AI can learn from past tickets in Zendesk, internal guides in Google Docs, and conversations in Slack, giving complete answers based on everything your company knows.

• Go live in minutes, not months: Instead of a massive, platform-wide upgrade, you can connect your helpdesk and knowledge sources with a few clicks and start automating simple tickets the same day. It's a completely self-serve experience.

• Test with confidence: eesel AI has a simulation mode that lets you see exactly how it would have handled thousands of your past tickets before you turn it on for live customers. This takes the guesswork out of the equation and proves the value upfront.

Is Atlassian Intelligence Edit Content the right AI for your team?

Atlassian Intelligence is a solid starting point for teams who live and breathe the Atlassian ecosystem and just need a little help to edit content and draft things faster. It makes writing easier, which is always a plus.

However, for support and IT teams looking for real automation, clear cost savings, and an AI that works across all their tools, a dedicated, connected platform is the way to go. The goal shouldn't be just to write faster; it should be to resolve issues faster and prevent tickets from ever reaching a human. And for that, you need to move beyond simple content editing.

Ready to see what a truly connected AI can do for your team? Set up your first AI agent with eesel AI in minutes.