Atlassian is going all-in on artificial intelligence, embedding features from its Atlassian Intelligence and Rovo platforms directly into products you use every day. For the millions of teams who rely on Jira and Confluence, this new wave of AI, which people are calling the Atlassian AI Agent, aims to automate tasks, dig up insights, and boost teamwork.
But what does this actually mean for how you get work done? Let’s break down what the Atlassian AI Agent is all about. We’ll explore its main features, how it’s supposed to work, and uncover the limitations and pricing details you’ll want to know before jumping in. We’ll also look at how other tools can give you more freedom without making you overhaul your current setup.
What is the Atlassian AI agent?
The atlassian ai agent isn’t a single product you can add to your cart. Think of it as a collection of AI-powered features spread across Atlassian’s cloud platform. Most of these skills come from Atlassian Intelligence, which uses generative AI to help you out in your daily workflows.
The main pieces that make up the atlassian ai agent experience are:
- The Jira Service Management Virtual Service Agent: This is an AI-powered chatbot that handles basic Tier 1 support questions, freeing up your human agents from answering the same things over and over.
- AI-Powered Content Assistance: These are features inside Jira and Confluence that can summarize long ticket threads, draft new page content, or even gauge customer sentiment from their messages.
- Rovo, the AI Teammate: This is a newer, more ambitious AI layer that can search for information across all your Atlassian apps and, using connectors, even look inside third-party tools like Slack and Google Drive.
- Automated Workflows: The AI can offer smart suggestions for triaging issues, creating subtasks from a larger ticket, and grouping related work into epics.
Atlassian’s goal is pretty clear: bake AI into everything they do so teams can work faster, but with the assumption that you’re working completely within their ecosystem.
Core features of the Atlassian AI agent
Atlassian has been rolling out a bunch of AI features meant to make life easier for everyone, from developers to marketing teams. Let’s look at what the AI can actually do for you.
The Jira service management virtual agent: A core Atlassian AI agent feature
The JSM virtual agent is Atlassian’s frontline AI for support teams. It’s built to automate conversations in channels like Slack and the JSM customer portal, cutting down on the manual work for your agents.
It works in a couple of ways:
- Intent Flows: You can build simple, no-code workflows for common requests like password resets or getting access to software. The agent walks the user through the steps and only brings in a human if it gets stuck.
- AI Answers: If a question doesn’t fit a pre-built flow, the agent uses generative AI to scan your connected Confluence knowledge bases for an answer. This is great, but it really depends on having all your documentation up-to-date and living in Confluence.
AI-powered insights and summaries from the Atlassian AI agent
One of the handiest features of the atlassian ai agent is its knack for condensing information. Agents can get a summary of a long, messy ticket history with one click, letting them get up to speed without reading every single comment. The same tech can summarize Confluence pages, which is a real time-saver for research or getting new hires acquainted. On top of that, AI sentiment analysis can flag when a customer seems frustrated, helping agents tackle the most urgent requests first.
Automated workflows and issue triage with the Atlassian AI agent
To help with project management, Atlassian Intelligence can automatically sort incoming requests. For example, when a request comes in via email, the AI can figure out what kind of request it is, fill in the right fields, and send it to the right team. It can also look at the requirements in a ticket and suggest subtasks or group related tickets into one epic, which means less manual organizing for project managers.
Rovo: The Atlassian AI agent as an enterprise-wide AI teammate
Rovo is a glimpse into where Atlassian is heading with its AI. It’s designed to be a search and chat tool that connects the dots across your entire Atlassian suite. You can ask Rovo questions in plain English, and it will pull answers from Jira issues, Confluence pages, and even BitBucket code. Atlassian is also working on specialized Rovo agents, like "Auto Dev," which is intended to create technical plans and code straight from a Jira ticket.
How the Atlassian AI agent works: Setup and integration
Knowing how Atlassian’s AI is put together is important for understanding what it’s good at and, more importantly, where it falls short. The whole system is built to feel seamless, as long as you stay within the Atlassian world.
Activating the Atlassian AI agent requires a premium commitment
First things first: the atlassian ai agent features aren’t for everyone. To get access to Atlassian Intelligence, which includes the JSM virtual agent and Rovo, you have to be on a Premium or Enterprise cloud plan. This is a big jump in cost and a real commitment, pushing you into a higher price bracket before you even start using the AI.
Training the Atlassian AI agent on your siloed knowledge
Any AI is only as good as the data it learns from. Atlassian’s AI is built to learn from two main places: your Confluence spaces and your past Jira data. This is great for teams that have put all their knowledge and workflows into the Atlassian stack.
But here’s the catch. What if your company’s knowledge is scattered across Google Docs, Notion, SharePoint, or a bunch of PDFs? Atlassian’s AI won’t see any of it. To get real value, you’re nudged into moving all your documentation over to Confluence.
Pro Tip: The best AI tools should adapt to how you work, not the other way around. For teams whose knowledge lives in many different places, a more flexible AI platform like eesel AI makes a lot more sense. It connects to over 100 sources, including Google Docs, Notion, and past tickets from help desks like Jira Service Management, letting you use your knowledge no matter where it’s stored.
The Atlassian AI agent integration model that keeps you in their world
The atlassian ai agent connects pretty well with chat tools like Slack and Microsoft Teams. The catch is that the whole process is designed to pull you back into the Atlassian ecosystem. Conversations get turned into Jira tickets, and answers are pulled from Confluence. It’s efficient if you’re an Atlassian-only shop, but it makes it harder to use other best-in-class tools.
Pricing and limitations of the Atlassian AI agent
The features sound great, but you have to look at the price tag and the fine print. Atlassian’s pricing model can be a bit tricky, mixing per-user subscription fees with charges based on how much you use the AI.
Understanding the full cost of the Atlassian AI agent
To use the virtual agent, you first need a Jira Service Management Premium or Enterprise plan. These plans include a monthly set of "assisted conversations." If you go over that limit, you have to pay for each extra interaction.
| Plan | Base Cost (per agent/mo) | Virtual Agent Access | Included Conversations | Overage Cost (per conversation) |
|---|---|---|---|---|
| Free | $0 | No | 0 | N/A |
| Standard | $19.04 | No | 0 | N/A |
| Premium | $47.82 | Yes | 1,000 / month | $0.30 |
| Enterprise | Custom | Yes | 1,000 / month | $0.30 |
*Pricing based on Atlassian’s public information and is subject to change.
Key Atlassian AI agent limitations to consider
Before you make a decision, here are a few things to keep in mind:
- Ecosystem lock-in: The atlassian ai agent is most useful when your whole company lives and breathes Atlassian. If your sales team uses a different CRM or your marketing team collaborates elsewhere, the AI’s helpfulness drops off fast.
- Stuck with Confluence: The heavy dependence on Confluence is a real hurdle for companies that use different tools for documentation. You either have to plan a big, expensive migration project or just accept that your AI will be working with half the story.
- Unpredictable costs: The mix of high per-agent fees and pay-as-you-go overages makes it hard to budget. A busy month for your support team could lead to a surprisingly high bill.
- You’re pushed to migrate everything: To really get the most out of Atlassian’s AI, the platform encourages you to move more of your work and data into their system. This is a hidden cost and a strategic choice that makes your operations less flexible down the road.
A tool like eesel AI, on the other hand, offers a more adaptable approach. It works with your existing help desk and knowledge sources, giving you powerful AI without forcing you to migrate everything or get locked into one vendor. With its straightforward, interaction-based pricing, you get predictable costs and the freedom to use whatever tools are best for your business.
The smarter alternative: How eesel AI complements your stack
If your team values flexibility, wide-ranging integrations, and predictable costs, a layered AI tool is a much better fit. eesel AI is designed to work with the tools you already have, including Jira and Confluence, not make you replace them.
Here’s how it gets around the main limitations of the walled-garden approach:
- Learns from all your knowledge: eesel AI trains on over 100 sources. This includes past tickets from any help desk, Google Docs, Notion, PDFs, and even product info from Shopify. Your AI gets the full picture of your business.
- Simulate before you go live: This is a pretty unique feature. eesel AI lets you run a simulation on your past tickets before you launch. You can see how many tickets it could have deflected and calculate the potential ROI, so you can deploy it with confidence.
- No lock-in, just value: Because eesel is a layer on top of your tools, you can switch your help desk or documentation software without losing your AI. It adapts to your stack, giving you complete control.
Conclusion: Choosing between the Atlassian AI agent and alternatives
The atlassian ai agent is a big move for teams that are deeply invested in the Atlassian ecosystem. Its tight connection with Jira and Confluence provides some powerful automation and time-saving summaries that can really help internal workflows.
But that power comes at a price: flexibility. The platform’s reliance on Atlassian-only knowledge, its premium-only access, and its complex pricing create a walled garden that just won’t work for every company.
For modern teams that mix and match a variety of best-in-class tools, a layered AI solution is usually the smarter, more future-proof choice. By adapting to the tools you already have, these platforms give you value right away, without the hidden costs of data migration and being locked into one ecosystem.
Ready to bring flexible AI to your support stack?
Don’t get locked into a single ecosystem. See how eesel AI can deliver powerful, accurate automation by learning from all your knowledge sources and working with the tools you already love.
Book a demo or start for free to see how you can supercharge your Jira and Confluence workflows today.
Frequently asked questions
No, the Atlassian AI Agent isn’t a single product you can purchase. It’s a collection of AI-powered features, like the JSM virtual agent and content summaries, that are built into Atlassian’s Premium and Enterprise cloud plans.
To access most features, you need a Premium or Enterprise cloud subscription for the relevant Atlassian product, such as Jira Service Management or Confluence. These higher-tier plans include access to Atlassian Intelligence, which powers the agent’s capabilities.
No, the native Atlassian AI Agent is designed to learn almost exclusively from data within the Atlassian ecosystem, primarily Confluence and Jira data. It cannot access or learn from knowledge stored in external sources like Google Docs or Notion.
Rovo is a key part of the broader Atlassian AI Agent experience, but they are not the same thing. Rovo acts as an AI “teammate” that can search for information across all your Atlassian tools, while the agent also includes specific product features like the JSM virtual chatbot.
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