Let’s be honest. If you’re a Jira admin or on a support team, you know Jira is powerful. You also know that the daily grind of managing a never-ending flood of requests, tickets, and small admin tasks can be a huge time sink. It’s painfully easy to spend more time organizing work than actually getting it done.
AI gets talked about a lot as a solution, but many tools are either a nightmare to set up or don’t solve the right problems. The most useful AI today is the kind that automates the "work around the work", fielding frontline support questions, triaging tickets, and pulling up the right info just when you need it.
This article is here to cut through the noise. We’ve found the 7 best AI solutions that integrate with Jira right now, with a focus on practical tools that genuinely automate support and workflows. The goal? To help you get back to focusing on what matters.
What are AI solutions that integrate with Jira?
When we talk about AI for Jira, we’re not just talking about smarter automation rules. These are systems that can understand human language, learn from your team’s existing data, and actually take action inside your Jira setup.
For the most part, they come in two flavors:
-
AI for building Jira itself: These tools try to help with the heavy lifting, like configuring an entire instance, mapping out complex workflows, or writing JQL from a simple sentence. As any seasoned Jira admin can tell you, this area is still a bit rocky, and the results can be unpredictable.
-
AI for support and workflow automation: This is where things get really practical. These tools sit on top of platforms like Jira Service Management to deal with user-facing tasks. Think of an AI that can answer common support tickets on its own, route new requests to the right person, and feed your agents the exact info they need from knowledge bases like Confluence.
That second category is where AI is making a real difference today. So, this list focuses on the tools that offer immediate, tangible benefits for your team.
How we picked the best AI solutions that integrate with Jira
To find the tools that actually help, we didn’t get distracted by flashy demos. We judged them based on what busy teams really need to get work done.
Here’s what we looked for:
-
How fast can you actually use it? We leaned towards tools you can set up yourself, without needing a developer or sitting through weeks of onboarding calls.
-
Does it reduce the ticket pile? The whole point is to cut down on manual work and free up your team. The best tools provide automation that helps, not just another layer of tech to manage.
-
Can it learn from all your scattered knowledge? Good AI needs to connect to everything, your Confluence spaces, past tickets, and even those random Google Docs where important info lives.
-
Are you in control? You should be able to tell the AI how to behave. That means defining its tone of voice, what it’s allowed to do, and which tickets it should, and shouldn’t, touch.
-
Is the price fair and easy to understand? The cost should be clear. You need to know what you’re paying for and feel confident that the time it saves is worth it.
A quick comparison of the top tools
Here’s a simple look at how our top picks for AI solutions that integrate with Jira stack up.
| Tool | Best For | Key Feature | Pricing Model |
|---|---|---|---|
| eesel AI | Self-serve support & ITSM automation | Trains on past tickets & simulates resolutions | Per interaction, not per ticket |
| Atlassian Intelligence | Teams deep in the Atlassian ecosystem | Native Jira/Confluence integration | Included in Premium/Enterprise plans |
| Ava AI Agent | Basic AI help in Jira Service Management | Simple virtual agent setup | Per user/per month |
| Smart AI for Jira | Teams wanting to use different LLMs | OpenAI, Azure AI, and Gemini support | Per user/per month |
| Released | Product and marketing teams | AI-powered release note generation | Per user/per month |
| ScriptRunner | Tech admins needing serious customization | Groovy scripting with AI assistance | Per user/per month |
| Beam.ai | Broad, multi-app process automation | Generic AI agents for many platforms | High, fixed monthly fee per agent |
The 7 best AI solutions that integrate with Jira in 2025
Here’s our detailed look at the top tools that bring useful AI features into your Jira world.
1. eesel AI
Why it’s on the list: eesel AI is designed for teams that want powerful support automation without a massive, complicated setup process. It’s especially good at pulling together all your scattered knowledge to give accurate answers right inside Jira Service Management.
Key Features:
-
Go live in minutes: This is its best trick. You can connect your knowledge sources (past tickets, Confluence, Google Docs) and have a working AI agent up and running in a few minutes, without ever having to talk to a salesperson.
-
Learns from past tickets: eesel AI reads your old support conversations to automatically learn your team’s tone and common solutions. This means its answers sound like they come from you, not a generic robot.
-
Simulation mode: Before the AI ever talks to a real person, you can test it on thousands of your past tickets. This shows you exactly how it would have performed, giving you a clear forecast of its impact and taking the guesswork out of the equation.
A screenshot of the eesel AI simulation feature, which is one of the best ai solutions that integrate with jira for testing automation safely.:- You’re in the driver’s seat: You get to decide exactly which kinds of tickets the AI handles and what it’s allowed to do, whether that’s escalating to a human or updating ticket fields on its own.
A look at eesel AI's customization settings, showing how users can control the AI's behavior, making it a flexible choice for ai solutions that integrate with jira.:Pricing: eesel AI’s pricing is upfront and easy to predict.
-
Team Plan: $239/month (billed annually) for up to 1,000 AI interactions.
-
Business Plan: $639/month (billed annually) for up to 3,000 interactions, and it includes the ability to train on past tickets and use AI actions.
-
The nice part is you don’t pay per resolution, so you won’t get a surprise bill just because you had a busy month.
2. Atlassian Intelligence (Rovo)
Why it’s on the list: As Atlassian’s own AI, this one obviously has the tightest possible integration with Jira, Confluence, and other Atlassian products. If your team lives and breathes the Atlassian suite, it’s a natural place to start.
Key Features: It’s really handy for internal productivity. Atlassian Intelligence can summarize long ticket threads, help you write JQL queries using plain English, and break big epics into smaller tasks. Its Rovo agents can also search across all your Atlassian tools to answer questions.
Limitations: Its greatest strength is also its main weakness. It works best inside the Atlassian "walled garden." Trying to get it to learn from external sources (like a separate help center, Google Docs, or PDFs) isn’t so simple. You also have less fine-grained control over the AI’s behavior compared to more specialized tools.
Pricing: Atlassian Intelligence is baked into Jira Cloud Premium and Enterprise plans.
-
Premium: Starts at $13.53 per user/month.
-
Enterprise: Custom pricing, billed annually.
3. Ava AI Agent
Why it’s on the list: Ava AI Agent is a no-frills virtual agent from the Atlassian Marketplace. It gives you a simple way to add a bit of AI assistance to your Jira Service Management portal without much hassle.
Key Features: It connects with Slack and Microsoft Teams and uses ChatGPT to answer questions based on your Confluence knowledge base. If it gets stuck, it creates a ticket for a human to take over.
Limitations: The setup is easy, but it doesn’t have the deeper controls and testing features of other platforms. Customizing its personality, defining specific actions, or telling it what not to answer is a lot less detailed, which could be an issue for teams with more complex setups.
Pricing: Starts at $99/month for up to 10 users, with different tiers available as your team grows.
4. Smart AI for Jira
Why it’s on the list: If your team wants full control over the AI model running under the hood, Smart AI for Jira is an interesting choice. It lets you plug in your own API keys for OpenAI, Azure AI, or Google Gemini.
Key Features: It offers AI-powered issue analysis, can help create "smart tickets," and can be used to automate workflow steps. This "bring your own LLM" model gives you more control over data and can be cheaper if you already have credits with one of the big providers.
Limitations: This one is definitely for a more technical crowd. It expects you to manage your own API keys and doesn’t offer the same polished, all-in-one experience as a managed platform. It’s more about providing the AI engine than a complete, user-friendly support solution.
Pricing: It’s free for up to 10 users, then scales up. A team of 100 users would pay $115/month. Just remember, that price doesn’t include what you’ll pay directly to OpenAI, Google, or Microsoft for the AI usage itself.
5. Released
Why it’s on the list: Released tackles a different, but still very important, part of the Jira workflow: telling people what you’ve actually built. It uses AI to help you write release notes, collect customer feedback, and share public roadmaps.
Key Features: It connects right to your Jira projects and uses AI to turn technical ticket descriptions into clear, friendly release notes. It’s a great little tool for closing the communication gap between your dev team and your users.
Limitations: It’s a specialized communication tool, not a support automation platform. It’s not going to help you resolve incoming support tickets or answer questions from your internal team.
Pricing:
-
Free Plan: Available for up to 10 users.
-
Standard Plan: Starts at $0.99 per user/month, with discounts for bigger teams.
6. ScriptRunner for Jira
Why it’s on the list: ScriptRunner is a legendary tool among Jira power users. It’s the go-to for deep automation and customization. While it isn’t a conversational AI agent, it now has AI features to help you write Groovy scripts and JQL queries.
Key Features: With custom scripts, you can automate almost anything you can imagine in Jira. The AI-assisted script writing makes it a bit easier for non-experts to create complex automations without having to become a Groovy master first.
Limitations: This is a tool for technical administrators, period. It requires scripting know-how and is built for customizing Jira’s backend, not for automating conversations or learning from documents.
Pricing: ScriptRunner for Jira Cloud is free for up to 10 users. For larger teams, the price is per user and gets cheaper as you add more people. For instance, a 100-person team would pay around $2.50 per user/month.
7. Beam.ai
Why it’s on the list: Beam.ai is a platform for building generic AI agents that can automate things across different applications, Jira included. It’s an option for companies looking for one big automation solution to use across their whole organization.
Key Features: You can build AI agents to do various tasks in Jira, like creating issues, updating statuses, or pulling data for reports. It’s part of a bigger set of integrations aimed at enterprise-wide automation.
Limitations: Because it’s a general-purpose platform, its Jira integration isn’t as deep or fine-tuned for support as dedicated tools are. The setup is usually more involved and less of a do-it-yourself affair, and the high starting price puts it out of reach for most teams.
Pricing: Beam.ai pricing is based on how capable the agent is.
-
Agent S: $990/month
-
Agent M: $1990/month
-
Agent L: $3990/month
-
That high entry cost and the lack of a self-serve trial make it a pretty big commitment.
How to choose the right Jira AI solution
Feeling a little lost in the options? Here are a few practical questions to ask yourself to help pick the right tool for your team. This should help you find the best AI solutions that integrate with Jira for your specific needs.
What’s your biggest headache right now?
Don’t just get AI for the sake of having AI. What’s the most annoying, time-consuming part of your day? Are you drowning in repetitive Tier 1 support questions? Is your main problem just telling people what you’ve shipped? Pick a tool that solves the problem that’s actually causing you pain.
How can you roll it out without risk?
The best AI tools let you try before you buy, and not just with a sales demo. Look for platforms that have a solid simulation mode or a way to roll out the AI gradually. This lets you see how it will perform and build confidence before it ever interacts with your team or customers.
Does it connect to all your knowledge?
Your team’s real knowledge isn’t just sitting in a perfectly organized Confluence space. It’s hidden in thousands of past ticket resolutions, messy Google Docs, and random Slack messages. A truly useful AI has to be able to connect to all of those places to give good answers.
An infographic showing how ai solutions that integrate with jira can connect to scattered knowledge sources like Confluence, Google Docs, and past tickets.:Look for pricing that makes sense
Be careful with tools that charge per ticket or per resolution. That can lead to unpredictable bills that go up when the tool is doing its job well. A flat, predictable price based on usage (like AI interactions) or features is much easier to budget for and grow with.
Stop managing tickets, start solving problems
Putting AI into Jira isn’t some sci-fi concept anymore. It’s a real, practical way to get time back for your team. The tools that work best today are the ones that focus on automating the support and knowledge tasks that bog everyone down.
By picking a tool that’s easy to set up, learns from your team’s unique data, and lets you test it safely, you can help your team move from just reacting to tickets to actually solving problems.
Ready to see what AI can do for your Jira workflows? Try eesel AI for free and build an AI agent trained on your own data in minutes.
Frequently asked questions
Many modern AI tools for Jira are designed for quick setup, often allowing you to go live in minutes by connecting existing knowledge sources. The focus is on self-serve implementation, minimizing the need for extensive developer involvement.
For support, you can expect significant reductions in repetitive tasks, faster ticket resolution, and automated routing. These solutions can answer common questions, triage requests, and provide agents with instant access to relevant information.
Yes, the most effective AI solutions are designed to connect to various knowledge sources beyond just Confluence, such as past Jira tickets, Google Docs, and other internal documents. This comprehensive learning allows for more accurate and context-aware responses.
Good AI platforms offer fine-grained control, allowing you to define the AI’s tone of voice, what types of tickets it handles, and specific actions it’s permitted to take, such as escalating to a human or updating ticket fields.
Look for transparent and predictable pricing, often based on AI interactions or features rather than per ticket or resolution, which can lead to unpredictable costs. Many tools offer tiered plans based on usage or user count, providing easier budgeting.
While some solutions cater to more technical users managing API keys or writing scripts, many modern AI tools for support automation are designed to be user-friendly. These often require no coding or specialized developer skills to get started.
By automating routine tasks like frontline support and ticket triage, these AI solutions free up your team from "work around the work." This allows agents and admins to focus on more complex problems and strategic initiatives, significantly boosting overall productivity.
