A practical guide to the Atlassian Intelligence Virtual Agent

Disclosure: This article is published by eesel AI, a competitor of Atlassian. We encourage you to read Atlassian's own materials for their perspective.

Let's be honest, the stream of support requests never really stops. More and more teams are looking at AI to help manage the flow, and the goal is pretty much always the same: automate the easy, repetitive stuff so you can give faster service and free up your team for the trickier problems.

Atlassian has established itself as a leader in this space with its Atlassian Intelligence features, and a standout for support teams is the virtual agent for Jira Service Management (JSM).

This guide is a look at what the Atlassian Intelligence Virtual Agent is, how it works in the real world, and what to consider when setting it up in 2026. By the end, you should have a much clearer picture of how to best utilize it for your team.

What is the Atlassian Intelligence Virtual Agent?

At its core, the Atlassian Intelligence Virtual Agent is Atlassian's own AI chatbot, built to work right inside Jira Service Management. It is a sophisticated tool connected to the broader Atlassian Intelligence engine. This means it uses large language models that learn from your company’s own data to get the context right and give useful answers.

Its main job is to head off common Tier 1 requests before they land in a human agent's queue. It does this by providing instant answers and gathering all the necessary info from users upfront. You’ll find it working in chat channels like Slack and Microsoft Teams, and of course, inside the JSM help portal.

Key capabilities of the Atlassian Intelligence Virtual Agent

So, how does it actually get things done? The virtual agent offers two main methods for figuring out and handling user requests.

AI Answers for instant knowledge base support

This is the agent’s generative AI feature. When a user asks a question, the AI Answers feature does a knowledge base search to find relevant info and put together a helpful response. It's perfect for answering those simple, informational questions that seem to pop up a dozen times a day.

To get the most out of this feature, it's important to have a high-quality knowledge base. The AI is built to pull information primarily from Confluence, which is ideal if your team uses Atlassian’s reliable documentation tools.

Intent flows for guided, structured conversations

For more predictable, step-by-step requests, you have "intent flows." You can think of these as predefined conversation maps that you build out to handle common issues like "password reset" or "request access to software."

Setting these up involves a couple of main steps:

1. Training phrases: First, you teach the AI what to listen for. This means providing different ways a user might ask for something. The virtual agent uses these examples to accurately identify user needs.

2. Flow builder: Once the AI recognizes an intent, the flow you built takes over. Using a no-code visual tool, you map out the entire conversation with different branches, multiple-choice questions, and actions.

This works well for tasks that follow a clear script, allowing you to maintain control over the support experience.

graph TD A[User asks a question] --> B{Virtual Agent recognizes intent}; B --> C[Executes predefined flow]; C --> D{Gathers info via questions}; D --> E[Takes action, e.g., create ticket];

Channel integrations for conversational ticketing

The big idea here is to meet people where they already work. The virtual agent connects with the tools your team uses every day, mainly Slack, Microsoft Teams, and the JSM customer portal. This lets employees get help without having to open another browser tab, making the support process much smoother.

Considerations for your setup

While the Atlassian virtual agent is a powerful tool, there are some strategic considerations to keep in mind to ensure it fits your workflow perfectly.

Integration with the Atlassian ecosystem

The virtual agent is optimized for the Atlassian ecosystem, and it works best when paired with Confluence. For teams that have their documentation in Confluence, this deep integration is a significant benefit, as it creates a cohesive and unified knowledge environment. If your documentation is currently in other tools, you might consider how to best leverage Confluence to take full advantage of the virtual agent's capabilities.

Focus on efficient ticket deflection

The virtual agent is highly effective at deflecting tickets before they are created. This efficiency helps keep agent queues manageable. For teams that also want to automate workflows after a ticket has been created, such as advanced triaging or summarizing long histories, they might explore complementary tools that work alongside the Atlassian agent to provide even more coverage.

Thoughtful setup for intents

The no-code flow builder is a robust tool that allows for precise customization. To build the most effective flows, admins should invest some time in planning conversation branches and testing paths. This strategic planning ensures that the automation remains useful and accurate as your internal processes evolve.

Pricing for the Atlassian Intelligence Virtual Agent in 2026

The virtual agent is a premium feature designed for teams ready to scale their support operations. It is included in the higher-tier Jira Service Management plans, which offer a range of enterprise-grade capabilities.

To get access, you have to be on either the Premium or Enterprise Jira Service Management plan.

Adding flexibility with eesel AI

If you are looking for even more flexibility in how you use your knowledge, eesel AI is an excellent complementary option. It is designed to work within your existing setup and connect with the tools you already use.

Unify all your knowledge alongside Confluence

While the virtual agent is a champion for Confluence, eesel AI can help you bring in other sources as well. It connects with over 100 sources right out of the box, including Google Docs, Notion, and SharePoint. This allows you to enhance your Atlassian setup without needing to migrate every single document.

Support throughout the ticket lifecycle

eesel AI’s AI Agent can work directly inside your help desk to assist with tickets that have already been created. It can help with triage, adding tags, or summarizing conversations, providing a helpful layer of automation that complements the deflection strengths of the Atlassian Intelligence Virtual Agent.

Go live quickly with simulation mode

You can get started with eesel AI in minutes. One of its standout features is simulation mode, which lets you test the AI on your historical tickets before going live. This gives you a data-backed forecast of how it will perform, allowing you to move forward with confidence.

Transparent, scalable pricing

eesel AI offers clear and predictable pricing. It provides a way to add specialized AI capabilities to your team's workflow in a way that fits your specific budget and needs.

The verdict

The Atlassian Intelligence Virtual Agent is a powerful, native choice for teams who are deep in the Atlassian ecosystem. It is a mature solution for those on JSM Premium or Enterprise plans who want a seamless experience with Confluence.

For businesses that use a wide mix of tools or want to extend their ticket automation, specialized platforms like eesel AI can serve as a perfect partner. By using them together, you can build a support system that is both incredibly robust and highly flexible.

Curious to see how AI can enhance your support?

Try eesel AI on your own data in minutes. You can simulate its performance on your past tickets and see your potential resolution rate instantly. Start your free trial.