Atlassian AI ticket assistant: A complete guide for 2026

Let’s be honest, a huge part of any support agent's day is spent playing detective. You’re chasing down missing details, trying to figure out what a vague ticket actually means, or re-categorizing something that landed in a specific queue. Finding ways to streamline this process can help boost productivity and keep your team focused on what they do best.

What if you could streamline that process? There are AI ticket assistants designed to live right inside Jira Service Management (JSM) that can help organize this process for your team. This guide will walk you through the options you have, from Atlassian's own built-in tools to some of the specialized apps on the Marketplace.

By the end of this read, you'll have a clear idea of what each tool does and which one makes the most sense for your team. Let's find a way to help your agents spend less time on administration and more time solving real problems.

What is an Atlassian AI ticket assistant?

In simple terms, an Atlassian AI ticket assistant is a smart tool that helps users and agents create detailed support tickets inside Jira Service Management. Instead of making someone click through multiple dropdowns and detailed forms, it understands what they need from a sentence or two describing their issue.

Its main purpose is to automate the standard steps of creating a ticket. It can figure out what a user is trying to say, pick the right request type from your list, and fill in key details like the summary and description. The goal is to cut down on the manual work for both the person asking for help and the agent who picks up the ticket.

You can get this kind of help in two main ways: using the AI features that Atlassian has built directly into its mature platform, or by installing a dedicated app from the extensive Atlassian Marketplace.

Atlassian’s native Atlassian AI ticket assistant: The Jira Service Management virtual agent

Atlassian’s own answer for AI-powered support is the JSM Virtual Agent. It’s a broad, capable tool meant to be the first line of defense, handling common questions and providing helpful information before a request even becomes a ticket. While it does more than just help with ticket creation, it’s the primary way Atlassian uses AI to interact with incoming requests.

Key features and capabilities

The JSM Virtual Agent is built around a few core functions. It can provide AI-generated answers by scanning your knowledge base, and you can build out custom conversational flows to handle routine tasks.

• AI Answers: This feature uses AI to answer questions by pulling information directly from your connected knowledge bases, like Confluence. If you’ve documented an answer somewhere, the Virtual Agent can find it and deliver it conversationally.

• Intent Flows: You can think of these as customized scripts for common conversations. You can build flows to handle predictable requests like "I need VPN access" or "I need to install new software." When a user's message matches one of these intents, the bot starts the flow to gather info or solve the issue.

• Chat integration: It works where your team does. You can set up the Virtual Agent in Slack and Microsoft Teams, which makes getting support easier for everyone.

• Automated actions: The agent can do more than just talk. It can be configured to perform tasks, like automating a password reset through a web request, which helps resolve those kinds of tickets instantly.

Key considerations for your team

While the JSM Virtual Agent is a powerful tool, there are some factors to consider when deciding if it matches your setup.

• Plan options: The Virtual Agent is an advanced feature included in Jira Service Management Premium and Enterprise plans. Jira offers these plans for teams looking for high-level capabilities and enterprise-grade tools. For those on Standard or Free plans, the Atlassian Marketplace offers many complementary options.

• The setup allows for customization: While the AI Answers feature is easy to turn on, building effective intent flows gives your team deep control over the user experience. It is a powerful tool that benefits from thoughtful configuration to ensure it meets your specific team needs and maintains a high standard of accuracy.

• Structured flows: The JSM Virtual Agent is designed to prioritize efficient self-service. When it creates a ticket, it follows a structured flow to ensure consistency. This helps maintain data integrity, as the user follows a pre-defined path to ensure all necessary fields are captured according to your team's requirements.

Third-party Atlassian AI ticket assistant apps: A look at the AI Ticket Assistant by Deviniti

If you are looking for a specialized app that works alongside your current setup, the Atlassian Marketplace is a great place to explore. An example is the AI Ticket Assistant by Deviniti. This tool was built to focus on one specific part of the process: turning user requests into organized JSM tickets.

Key features and capabilities

This app focuses specifically on the ticket creation process, helping ensure tickets are ready to be worked on from the moment they are submitted.

• Core function: Its main job is to take user input and help transform it into a filled-out JSM ticket. It interprets the user's intent and populates the fields accordingly.

• Accessibility: This app works on all JSM Cloud plans, including Standard. This makes certain AI features available to teams on different plan levels.

• Quick setup: It’s designed to be a plug-and-play solution. You can install it and enable it on a portal without needing to configure complex custom scripts.

• User control: It includes an "Editable request preview," which is a helpful feature. Before the ticket is officially submitted, the user sees a preview of what the AI has filled out and can make changes to ensure accuracy.

• Multilingual support: The app can understand and process requests in over 50 languages, automatically adjusting to the user's preference.

Key considerations for your team

A specialized tool often focuses on a specific part of the workflow.

• Specific focus: This app is designed specifically for ticket creation. It does that job well, though it doesn't offer broader automation capabilities like triaging tickets or connecting to other systems via API like some more comprehensive platforms.

• Data privacy: To analyze the user's request, the app sends data to external services, including Azure OpenAI. Companies with specific rules about data residency should review the app's privacy policy to ensure it matches their internal requirements.

• Pricing model: The "Advanced" plan is based on a token system, which means you'll want to monitor your monthly quota to ensure consistent availability. The "Standard" plan requires you to manage your own OpenAI API key, which is another element for your team to oversee.

Deviniti's Atlassian AI ticket assistant pricing

The pricing for Deviniti's app changes based on your number of users. It's offered in two main tiers:

Plan	Starting Price	Key Feature
Standard	$4.00 / month	You need to "Bring Your Own OpenAI key."
Advanced	$7.00 / month	Includes a prepaid number of OpenAI tokens with a monthly cap.

Full pricing details are available on their Marketplace page.

A more flexible Atlassian AI ticket assistant approach: Unifying knowledge with a central AI agent

There are several ways to approach AI in your workflow: the powerful native tools built by Atlassian, or specialized Marketplace apps. A third way is using a central AI platform that integrates with JSM and all your other tools to enhance your existing Jira setup.

What if your Atlassian AI ticket assistant could see everything?

AI tools are most effective when they have access to a wide range of information. An AI agent that can pull knowledge from everywhere - your help articles, internal process docs, and the thousands of successfully resolved tickets already in Jira - provides a more complete experience for your team. This creates a comprehensive knowledge base that supports your entire workflow.

Introducing eesel AI: A complementary Atlassian AI ticket assistant for Jira Service Management

This is where a flexible alternative like eesel AI fits in. Instead of replacing your existing tools, it plugs directly into them. It has a seamless Jira Service Management integration, along with many others, to make your Jira environment even more powerful.

eesel AI is designed to work as a specialized companion to your Atlassian tools:

• Self-serve setup: You can sign up, connect your tools, and have a working bot in minutes by yourself, making it easy to get started alongside your Jira instance.

• Unifies your knowledge: You can train it on various sources - historical JSM tickets, your help center, Confluence, and more. This gives it the context needed to solve customer problems effectively.

• Workflow engine: The eesel AI Agent can perform actions like triaging new issues, automatically tagging tickets with labels, or making API calls to look up external information.

• Risk-free testing: Before you go live, you can run it in a simulation mode on your past tickets. This provides a clear report on how it would have performed, so you can fine-tune its behavior with confidence.

• Transparent pricing: eesel AI offers straightforward plans based on a set number of interactions, making your costs predictable.

This video explains how Jira Service Management's AI-powered virtual agents can streamline IT support and reduce manual workloads.

Choosing the right Atlassian AI ticket assistant for your Atlassian workflow

The right move for your team depends on your specific needs, budget, and long-term goals.

1. JSM Virtual Agent: This is a strong choice for teams on a Premium or Enterprise plan who want a deeply integrated, highly customizable solution within the Atlassian ecosystem.

2. Deviniti's AI Ticket Assistant: This is a helpful option for teams on any JSM plan who want a specialized tool focused primarily on streamlining ticket creation.

3. Central AI platforms like eesel AI: This path is ideal for teams who want a flexible and scalable solution that integrates with many sources. If you want to unify knowledge from multiple platforms and test with simulations before going live, a central AI agent is a great way to enhance your Jira setup.

The best tool is the one that addresses your specific bottlenecks. Jira provides a fantastic, mature foundation, and these AI options help you make the most of it.

Take the next step in support automation with an Atlassian AI ticket assistant

If you're looking for an AI agent that can unify your company knowledge and provide a powerful workflow engine, see how eesel AI's AI Agent can complement your Jira Service Management workflow today.