The 5 best Jira AI apps to try in 2025

Let’s be honest. Jira is powerful, but it can easily become a black hole for your time. If you’ve ever shut your laptop feeling like all you did was update tickets, groom backlogs, and chase down statuses, you’re definitely not alone. Many Jira admins and project managers are stuck in a reactive loop, spending more time on tedious admin than on the work that actually moves the needle.

The good news is that a new wave of AI is starting to change this. The best Jira AI apps are turning Jira from a simple tracking tool into a smarter work hub that automates the grunt work. They can triage support tickets, draft user stories, and find the answers you need, letting your team focus on what they do best.

This post is a no-fluff guide to the top 5 Jira AI apps I’ve found. We’ll break down what each one does, who it’s for, and what it costs, so you can find the right fit for your team.

What are Jira AI apps?

Jira AI apps are integrations that use artificial intelligence to automate tasks, offer smart suggestions, and generally make life easier right inside your Jira environment. Think of them as a smart assistant that handles the most repetitive parts of your job.

They can do a whole range of things:

• Generating content: They can summarize long, winding ticket threads, help draft technical user stories, or even pull together release notes from a list of completed issues.

• Automating workflows: These tools can automatically sort incoming support tickets, assign tasks to the right person based on the ticket’s content, and suggest improvements to your existing processes.

• Searching and analyzing data: Instead of wrestling with complex Jira Query Language (JQL), you can just ask a question in plain English to find what you need. These apps can also spot duplicate issues and pull in relevant docs from your knowledge base.

• Managing service requests: For teams using Jira Service Management, some of these apps can act as a frontline support agent, answering common questions and resolving tickets before they ever reach a human.

And it’s not just for developers anymore. Teams in ITSM, marketing, HR, and operations are all using these tools to streamline how they work in Jira.

How we chose the best Jira AI apps for this list

To cut through the marketing hype, we judged dozens of tools on a few criteria that actually matter to busy teams:

• Ease of setup: How quickly can you get it up and running? We prioritized tools that are truly self-serve, letting you connect to Jira and see value in minutes, not months. No mandatory sales calls just to get a demo.

• Core functionality: Does it solve a real problem? We looked for apps that do more than just offer neat party tricks, focusing on things like genuine support automation, smart project management, or smooth code integration.

• Integration depth: How well does it play with your other tools? The best apps connect not just to Jira, but to your entire knowledge ecosystem, like Confluence, Slack, and other sources.

• Customization and control: Can you make it work for your team? We leaned towards tools that give you fine-grained control over the AI’s behavior, letting you define your own workflows instead of forcing you into a rigid, one-size-fits-all box.

• Pricing transparency: Is the pricing model clear and predictable? Nobody likes surprise bills. We looked for straightforward pricing without hidden per-resolution fees that penalize you for being successful.

Comparison of the top Jira AI apps in 2025

The 5 best Jira AI apps to improve your workflow in 2025

Here’s our detailed breakdown of the tools that made the cut.

1. eesel AI

eesel AI is a powerful AI platform built for support and service teams. It plugs directly into Jira Service Management and acts as an autonomous frontline agent. It learns from your historical tickets, Confluence pages, and other knowledge sources to resolve user issues automatically. The whole idea behind eesel AI is to make your service desk more efficient and self-sufficient, without forcing you to migrate away from the helpdesk you already use.

Pros:

• Go live in minutes: It has a truly self-serve setup. You can connect to JSM, start training the AI on your data, and be running simulations in under 10 minutes, all without having to talk to a salesperson.

A flowchart showing the quick, self-serve implementation process for Jira AI apps like eesel AI, from connecting data sources to going live with automation.

• Learns from your real data: Instead of giving generic answers, it analyzes thousands of your past tickets to understand your specific issues and brand voice from day one.

This screenshot shows how Jira AI apps can learn from historical ticket data to provide accurate and context-aware responses and actions.

• Total workflow control: You get to decide exactly which tickets the AI handles. You can start small and use the powerful prompt editor to customize its actions, like triaging issues or calling an external API to look up order info.

An example of the customization available in advanced Jira AI apps, allowing users to define specific behaviors, guardrails, and actions for the AI.

• Risk-free simulation: This is a huge plus. Before the AI ever interacts with a live user, you can test it on thousands of your past tickets to see exactly how it would have performed and get an accurate resolution rate.

The simulation mode in eesel AI, a feature in some of the best Jira AI apps, which allows teams to test automation on past data safely before deployment.

Cons:

• It’s laser-focused on customer-facing and internal support, so it’s not the right fit for developer-centric tasks like code analysis or generation.

Pricing:

eesel AI’s pricing is based on a flat monthly fee for a set number of AI interactions, not per resolution, so your costs are always predictable.

• Team Plan: $299/month ($239/month if billed annually) for up to 1,000 AI interactions.

• Business Plan: $799/month ($639/month if billed annually) for up to 3,000 AI interactions, unlimited bots, and the ability to train on past tickets.

• Custom Plan: Available for teams with more advanced needs.

Why we chose it:

While many tools offer general AI features, eesel AI is the best at solving a huge problem for service teams: actually automating ticket resolution. Its ability to pull knowledge from all your scattered sources and let you safely test everything in a simulation makes it the top choice for any team serious about scaling their support in Jira.

2. Atlassian Intelligence (Rovo)

This is Atlassian’s own native AI, baked directly into Jira, Confluence, and the rest of their suite. It’s designed as a general-purpose assistant to help with day-to-day tasks like creating JQL queries with plain English, summarizing long comment threads, and generating basic automation rules.

Pros:

• It’s already there, so there’s no setup or installation required.

• It’s handy for quick, individual productivity boosts within the Atlassian ecosystem.

• The natural language to JQL feature is genuinely useful, especially for non-technical team members who need to run reports.

Cons:

• It lacks the deep customization needed for real automation. You can’t teach it custom actions or connect it to an external API.

• Its knowledge is walled off within the Atlassian suite. It can’t learn from external sources like Google Docs, your website, or past tickets in other helpdesks.

• There’s no simulation mode, so you’re essentially testing your automations in a live environment, which can be a bit nerve-wracking.

Pricing:

Atlassian Intelligence is included with Jira Cloud Premium and Enterprise plans.

Why we chose it:

As the built-in option, it’s the easiest way for teams to start experimenting with AI in Jira. It handles the basics well, but it’s more of a personal productivity helper than a true automation engine. Teams often find they need a more powerful, specialized tool to handle complex, high-volume workflows.

3. Smart AI for Jira

Smart AI for Jira is an Atlassian Marketplace app that focuses on speeding up project management tasks directly within a ticket. Its best features are centered around creating sub-tasks, generating content for issues, and giving users quick AI-powered actions.

Pros:

• It’s excellent for automatically breaking down large epics or user stories into smaller, more manageable sub-tasks.

• The AI chat is useful for generating things like acceptance criteria, test cases, or a definition of done.

• Admins get good control over which projects and user groups can access the features.

Cons:

• Its functionality is mostly limited to actions inside a ticket, so it won’t help you with broader workflow automation like sorting an entire queue or deflecting tickets.

• It requires you to bring your own API keys for large language models (like OpenAI or Gemini), which adds setup complexity and can lead to unpredictable costs.

Pricing:

Starts at $1.15 per user per month for teams up to 50 users. Check the Atlassian Marketplace for the most current pricing tiers.

Why we chose it:

This is a solid choice for scrum masters and project managers who spend a lot of time creating and refining Jira issues. Its work-breakdown feature is a genuine time-saver during sprint planning.

4. Codeium (now Windsurf)

Codeium, which is now part of Windsurf, is an AI toolkit built by developers, for developers. While its main job is code completion and generation, its Jira integration works to close the gap between writing code and tracking work. It can automate the creation of Jira tickets directly from code comments or commits.

Pros:

• It creates a direct link between what’s happening in the codebase and what’s being tracked in Jira, which means less context-switching for developers.

• It can help spot technical debt in the code and automatically generate tickets to address it.

• It integrates with popular version control systems like GitHub and GitLab.

Cons:

• It’s a highly specialized tool for software development teams and doesn’t offer much to non-technical teams.

• The focus is almost entirely on issue creation, not the full lifecycle of managing, triaging, and resolving issues.

Pricing:

• Free Plan: Includes a 2-week Pro trial and 25 prompt credits per month.

• Pro Plan: $15 per user/month for 500 prompt credits.

• Teams Plan: $30 per user/month for centralized billing and admin features.

Why we chose it:

It’s one of the best developer-focused AI tools with a Jira integration. For engineering teams looking to cut down on the admin busywork of creating tickets, it’s a powerful and well-targeted solution.

5. Guru

Guru is an AI-powered knowledge management platform that integrates with Jira. Its main purpose is to bring verified company knowledge from all your different apps (Confluence, Google Drive, Slack, etc.) and deliver it right where you’re working, including inside your Jira tickets.

Pros:

• It’s fantastic at breaking down information silos by creating a single, trusted source of truth for your whole company.

• Its AI search gives you direct answers, not just a list of links to documents.

• The built-in content verification workflow ensures that your knowledge base stays accurate and up-to-date.

Cons:

• It’s a knowledge delivery tool, not an automation tool. It can find and show information to a human agent, but it can’t take actions on its own, like responding to users or triaging tickets.

• It can get expensive, especially for larger teams, as it’s priced per user.

Pricing:

• Self-serve Plan: $25 per seat/month when billed annually ($30 monthly), with a 10-seat minimum.

• Enterprise Plan: Custom pricing for larger organizations needing advanced features.

Why we chose it:

Guru does a great job of showing just how important knowledge is to any AI strategy. While a tool like eesel AI can use knowledge to resolve tickets on its own, Guru excels at making that same knowledge instantly accessible to your human agents.

This video explores the AI capabilities within Jira Service Management that help teams automate and improve their support workflows.

Pro tips for making Jira AI apps work for you

It’s time for Jira AI apps to handle the busywork in Jira

Jira is a core part of how modern teams work, but the manual effort to keep it running smoothly doesn’t have to be. The right Jira AI app can free your team from the repetitive tasks that drain their time and energy.

Which tool is best for you depends on your main goal. If you want general productivity boosts, Atlassian’s built-in AI is a good place to start. For developer efficiency, look at Windsurf. To get your company knowledge in one place, Guru is a strong contender.

But for teams using Jira Service Management, the biggest and fastest return comes from automating frontline support and intelligently sorting tickets. This frees up your skilled human agents for the complex problems where they’re needed most.

Ready to stop manually triaging tickets and answering the same questions over and over? eesel AI connects to your Jira Service Management instance and knowledge sources in minutes. You can simulate its impact on your past tickets and see how much time you could save. Start your free trial today.