Atlassian Intelligence draft content: A practical guide

Ever feel like you’re stuck in a tug-of-war between writing good documentation and actually shipping work on time? You and just about every other team out there. The pressure is always on to create high-quality support articles, detailed user stories, and clear project pages, but doing it fast feels almost impossible. This is exactly why AI writers are popping up everywhere, promising to kickstart your first drafts in seconds, right where you work.

Atlassian has thrown its hat in the ring with Atlassian Intelligence, an AI assistant baked right into its ecosystem. If your team lives and breathes in Jira and Confluence, it’s designed to be your go-to helper. This guide will walk you through what Atlassian Intelligence actually is, how you can use it to draft content, and what it’s really going to cost you. We’ll also get real about its biggest limitations and show you how a more flexible AI can fill in the gaps and deliver the kind of automation you’re probably looking for.

What is Atlassian Intelligence?

Think of Atlassian Intelligence as a virtual teammate that lives inside Atlassian’s cloud products, like Confluence, Jira, and Jira Service Management. Its main goal is to help your team get things done faster by generating, summarizing, and tweaking content without you ever having to leave the page you’re on.

It’s basically a built-in assistant that tries to understand the context of what you're working on, whether that's a project brief or a support ticket. Under the hood, it’s powered by OpenAI’s technology, but it’s been trained to operate specifically within your Atlassian setup. One important thing to know right off the bat is that you can't just buy Atlassian Intelligence as a separate tool. It’s a bundle of features that only unlock when you subscribe to one of Atlassian's pricier plans.

How to use Atlassian Intelligence

Getting started with Atlassian Intelligence is pretty simple. Inside any editor, you can just type the /ai command or highlight some text you’ve already written to pull up the AI options. From there, you can ask it to draft all kinds of things across the Atlassian suite.

Let's look at a few common ways teams put it to work.

Generating pages and articles in Confluence

We’ve all been there, staring at a blank Confluence page with the cursor blinking menacingly. Atlassian Intelligence can help you break through that writer's block by drafting entire pages, blog posts, or articles from a single prompt.

For example, you could ask it to:

• Brainstorm a list of potential names for a new feature.

• Write five survey questions to get feedback on the latest product update.

• Create a first draft of a "how-to" article for onboarding new hires.

It also has a few canned prompts like "Brainstorm" or "Suggest a title," which can be a nice little creative nudge when you're feeling completely stuck.

Drafting user stories and ticket details in Jira

For product and engineering teams, writing clear work items is everything. Vague tickets lead to confusion and delays. Atlassian Intelligence can help add a bit more structure and save you some time.

You can use it to:

• Turn a one-line feature idea into a properly formatted user story with acceptance criteria.

• Take a massive, complex epic and suggest a list of smaller child issues to tackle.

• Generate a quick checklist of subtasks for a specific ticket.

This helps keep your backlog consistent and easy to understand, which means fewer "quick sync" meetings to clarify what a ticket actually means.

Drafting customer responses in Jira Service Management

Your support agents can use Atlassian Intelligence to draft professional and empathetic replies to customer tickets. Instead of typing out the same instructions for the tenth time in a day, an agent can ask the AI to generate troubleshooting steps for common issues, like a broken laptop or problems connecting to the company VPN.

It can also help you build out your knowledge base. After an agent resolves a tricky ticket, they can use the AI to transform that conversation into a new help article. It’s a neat way to build up your self-service options with content that has already been proven to solve a real customer problem.

Atlassian Intelligence pricing: What's the real cost?

Alright, here's the catch. Atlassian Intelligence isn't included in the Free or Standard plans. To get your hands on these AI features, your team needs to be on a Premium or Enterprise plan for products like Confluence Cloud and Jira Cloud.

As of late 2024, that means you’re looking at prices that start around:

• Confluence Cloud Premium: $10.75 per user, per month (billed annually).

• Jira Software Premium: $16 per user, per month (billed annually).

• Jira Service Management Premium: $52 per agent, per month (billed annually).

• Enterprise plans are available for much larger teams (800+ users) and come with custom pricing that you have to talk to sales about.

This pricing strategy effectively puts Atlassian's AI drafting tools behind a paywall. For smaller teams, startups, or any business keeping a close eye on its budget, this is a pretty big hurdle. It locks you out of the features unless you’re willing to upgrade your entire subscription.

Key limitations of Atlassian Intelligence

While having AI built-in is handy, Atlassian Intelligence comes with some serious drawbacks, especially for teams whose work and knowledge aren't neatly contained in one place.

Knowledge is trapped in the Atlassian ecosystem

The biggest headache with Atlassian Intelligence is that it’s, well, all about Atlassian. It primarily learns from and works with the data that's already inside Confluence and Jira. But let’s be realistic, where does your company’s most important information actually live? It’s probably scattered everywhere, in Google Docs, project plans in Notion, key decisions in Slack threads, or old support tickets in a help desk like Zendesk.

The AI simply can't access any of that. This creates massive knowledge silos, forcing the AI to give you answers based on an incomplete picture of your business. The result? You get generic or even outdated content because it’s missing all the crucial context from the other places your team actually collaborates.

This infographic shows how eesel AI connects various knowledge sources, overcoming the limitations of siloed systems like Atlassian Intelligence.

Drafts content without taking action

There’s a world of difference between generating text and actually automating a task. Atlassian Intelligence is pretty good at writing things, but it can't take action. It can draft a polite response, but it can’t perform the kinds of tasks that would actually free up your support team's time.

For example, it can't:

• Look up a customer’s order status in Shopify to see if it has shipped.

• Check a user's subscription details in your billing system.

• Automatically tag and triage an incoming ticket to the right engineering team based on keywords.

This limitation means your agents are still stuck doing the manual, repetitive busywork that a more connected AI could handle on its own. It helps them write faster, but it doesn't reduce their overall workload.

This workflow diagram illustrates how an advanced AI can automate the entire support process, a key capability missing from Atlassian Intelligence Draft Content.

Lack of pre-launch testing

Would you launch a new feature for your customers without testing it first? Probably not. But Atlassian Intelligence doesn't offer a robust simulation mode where you can see how it would perform on thousands of your past tickets before it ever talks to a real customer.

Without a safe sandbox environment, you’re essentially guessing. You can't get a solid forecast of automation rates, spot gaps in its knowledge, or tweak its tone. This often leads to a messy rollout where you're finding and fixing problems in real-time, which is a stressful experience for both your customers and your team.

The eesel AI simulation dashboard allows teams to test performance on historical data, a feature not available in Atlassian Intelligence.

A better alternative: Draft content and automate workflows with eesel AI

If those limitations are hitting a little too close to home, don't worry, there's another way. eesel AI is a specialized AI platform built to solve these exact problems. It isn't just a content drafter; it’s a full-blown automation engine that you can connect to your entire tech stack.

Instead of locking your knowledge in a silo, eesel AI brings it all together. Instead of just writing text, it takes action. And instead of making you cross your fingers and hope for the best, it lets you test everything with confidence.

Feature	Atlassian Intelligence	eesel AI
Knowledge Sources	Limited to Atlassian products (Confluence, Jira).	Connects to 100+ sources including Confluence, Google Docs, Notion, Slack, Zendesk, and more.
Automation	Drafts content and summarizes text.	Drafts replies, takes actions (like tagging or triaging), and can make real-time API calls to your other systems.
Testing	No advanced simulation mode for pre-launch testing.	A powerful simulation mode lets you test on historical tickets to forecast performance and build confidence.
Setup & Onboarding	Requires admin activation and expensive plans.	A truly self-serve setup that lets you go live in minutes, not months.
Pricing Model	Bundled into costly Premium/Enterprise plans.	Transparent, predictable plans (including monthly options) with no hidden fees.

Here’s what that actually means for your team:

• Unify your knowledge, instantly: You can connect eesel AI to all the apps your team depends on, including Confluence. This gives the AI a complete, 360-degree view of your business, so the answers it provides are genuinely helpful and up-to-date.

• Total control and customization: Go way beyond just drafting text with a powerful workflow builder. You can set up custom rules to automatically triage tickets, look up order details from your e-commerce platform, or escalate complex issues to the right person without anyone lifting a finger.

• Risk-free simulation: Before you flip the switch, you can use the simulation mode to test your AI on thousands of your past tickets. You’ll get an accurate forecast of how it will perform and be able to spot any knowledge gaps before a customer does.

• Accessible and predictable: You don't need a massive enterprise budget to get started. eesel AI is a self-serve platform with clear, transparent pricing, including month-to-month plans you can cancel anytime. No lengthy sales calls required.

Move beyond drafting to true automation

Atlassian Intelligence offers some genuinely useful, tightly integrated tools for teams who are already paying for the premium Atlassian experience. It can definitely help you get words on a page faster, and that's not nothing.

But its walled-garden approach to knowledge, its inability to perform real actions, and its high price tag create some pretty big roadblocks. For teams that need a powerful, flexible, and affordable solution that works with all their tools, a dedicated platform is the way to go. If you're ready to stop just drafting content and start driving real, end-to-end automation, a tool like eesel AI is the clear choice.

Ready to see what a truly connected AI can do for your team? Start your free trial with eesel AI and build your first AI agent in just a few minutes.