Top Jira AI assistants to boost productivity in 2025

Ever feel like managing projects and tasks in Jira is just… a lot? You’re constantly battling manual updates, sifting through mountains of tickets, and that annoying context switching. It’s tough keeping everyone truly on the same page and making sure nothing important slips through the cracks. But imagine having a virtual teammate who could handle the boring, repetitive stuff, find info in a flash, and even help automate your workflows.

Turns out, that’s exactly what AI assistants for Jira are for. These smart tools are seriously changing how teams work within Jira. They streamline everything from creating issues to pulling reports, freeing up your valuable time for the work that actually matters. As AI pops up more and more in every industry, bringing it into project management tools like Jira isn’t just a nice-to-have anymore, it’s becoming pretty essential for staying efficient. Solutions like eesel AI are leading the way, offering powerful AI features that play nicely with the tools you’re already using, including Jira.

What is a Jira AI assistant?

Okay, so what exactly is a Jira AI assistant? Think of it as an AI-powered sidekick designed specifically to hang out and work with your Jira platform. Its main job is to make your work life easier by automating routine tasks, giving you super-fast access to information, and offering smart insights right there inside Jira.

These assistants use cool tech like natural language processing (NLP) and machine learning (ML). What that means in plain English is they can understand what you’re asking for, look at your project data, and even do things for you without you having to click through a zillion menus. Picture it as a dedicated virtual teammate helping developers, project managers, and anyone else on the team get things done in Jira much more smoothly.

Why Jira users need AI

Let’s face it, project management eats up a lot of time with repetitive tasks like updating statuses, finding related tickets, or digging through docs. That’s where AI assistants come in.

They take on the admin load, so your team can stay focused on actual work—whether that’s coding, solving issues, or planning. Developers spend less time logging bugs. Support teams get faster answers. PMs get instant insights without chasing updates. McKinsey even found that nearly 20% of knowledge work could be automated, AI in Jira is a no-brainer.

However, tools like eesel AI take it further by connecting to your setup and automating workflows in a way that matches how your team actually works.

How we chose the top Jira AI assistants

With a bunch of AI tools popping up that say they integrate with Jira, it can feel a bit overwhelming trying to figure out which ones are actually legit and helpful. To make it easier for you, we’ve put together this list based on what we think are the most important things to look for – the stuff that really makes a difference in your day-to-day work.

Here’s how we decided which ones made the cut:

• Are they built for Jira, or do they connect really well? We focused on tools made specifically for Jira or ones that offer really strong, smooth integrations that do more than just basic linking.
• What kind of AI smarts do they have? The actual AI features were super important. We looked for tools that offered real automation, smart search, chat features, and help with workflows.
• How much do they actually boost productivity? We thought about how much time and effort the tool could realistically save. We looked for features that truly streamline common Jira tasks.
• Are they easy to use and set up? Nobody wants a tool that’s harder to get running than the problem it’s supposed to fix! We considered how easy it is to connect to your existing Jira setup and how intuitive it feels to use.
• What do users say? We checked out reviews and how well-known the tools are, looking at places like Slashdot to get a sense of how they perform in the real world and if people are happy with them.
• Can they grow with you? We thought about whether the tool can handle your team getting bigger and if you can tweak it to fit your specific way of working.

Our list focuses on tools that offer real, tangible benefits for people who use Jira every day, helping you work smarter, not just harder.

Top Jira AI assistants for 2025

Making the most out of your Jira setup often means bringing in tools that add extra power. These AI assistants do just that, offering everything from automatically handling tasks to finding information lightning-fast.

It’s good to keep in mind that while these tools connect with Jira, their pricing and exact features can be quite different. So, it’s important to think about what your team specifically needs.

1. eesel AI

eesel AI is a platform designed to hook into your existing helpdesk and workflow tools, including Jira Service Management, to streamline and automate support and project-related tasks. It offers both AI Agent features to automate conversations and an AI Assistant (like a Copilot) to help out your human agents.

• Key Features:
  • Automates basic support tickets (in JSM)
  • Does smart sorting (tagging, routing based on what the ticket says)
  • Finds information super fast (it can learn from Jira, Confluence, Google Docs, PDFs, and over 100 other sources)
  • Drafts replies for agents (the AI Assistant suggests answers)
  • Can perform custom actions via API (like fetching data)
  • You can even set up different bots for different tasks or brands
  • It’s great because it can learn from your past tickets and automatically syncs with your knowledge sources.
• Pros:
  • The pay-per-interaction pricing is a big plus – no unpredictable costs based on how many agents you have or how many issues you close.
  • You can train it on your specific internal knowledge, including past tickets, which is really powerful.
  • You get fine-tuned control over how the bot sounds, what actions it takes, and how it decides when to hand off to a human.
  • It has solid testing features so you can try things out before going live.
  • It offers deep workflow automation.
  • Setup is usually pretty quick and doesn’t mess with your current system (typically 1-2 weeks).
  • Plus, they have a dedicated support team to help you out.
  • It really tackles common headaches like high costs and limited features you might find with other AI tools.
• Cons:
  • You do need to go through an integration setup process, but it’s designed to be pretty straightforward and not disruptive.
• Pricing Overview: They have tiered plans based on how many AI interactions you need. The Team plan is $299/month for 1,000 interactions, Business is $799/month for 5,000 interactions, and they have custom Enterprise plans if you need unlimited use. They use a clear pay-per-interaction model with no extra fees per agent. You can find more details on the eesel AI pricing page.
• Ideal Use Case: This is a great fit for teams using Jira (especially Jira Service Management) who want an AI solution that’s affordable, super customizable, and can automate ticket handling, make agents more efficient by giving them quick info, and learn from their specific internal documents and past conversations.

2. Atlassian Rovo

Atlassian Rovo is Atlassian’s own AI offering. They call it an “AI teammate” that lives within their ecosystem. It brings together smarter search, AI tools you can chat with, and agents designed to help you automate things across Jira, Confluence, and other connected tools you might use.

• Key Features:
  • Rovo Search lets you search across all your Atlassian tools and about 80 other connected services.
  • Rovo Chat lets you just ask questions about your connected data.
  • Rovo Agents are like little helpers (some are ready-made, you can also build your own) for tasks like drafting release notes or bug reports.
  • There’s even an AutoDev agent specifically to help developers with things like code plans and pull requests in Jira.
  • You don’t even have to be an Atlassian user to access some parts.
• Pros:
  • It’s built right into Jira and Confluence, so the integration is super deep and native.
  • It can search across a growing list of connected tools.
  • You can build your own custom agents, which is pretty cool.
  • It’s also part of Atlassian’s bigger plan for AI across their platform.
• Cons:
  • It mainly focuses on searching and agent actions within the Atlassian world.
  • The pricing details can be a bit less clear than some other options and might not offer that transparent per-interaction cost.
  • You might find the customization for really specific workflows a bit limited compared to platforms dedicated just to AI agents.
• Pricing Overview: It’s part of the overall Atlassian Intelligence platform. You’ll usually find the pricing is tiered, and it’s best to check Atlassian’s current offerings for the specifics.
• Ideal Use Case: This is perfect for teams who are really invested in using Atlassian tools and want AI search and automation built right into their existing Jira and Confluence workflows. You can learn more about Jira on the Atlassian website.

3. Everfind

Everfind is an AI-powered search assistant for businesses. Its main job is to help teams quickly find important information that’s spread out across different tools, including popular ones like Jira, Confluence, and Microsoft SharePoint.

• Key Features:
  • It offers a single search bar to look across connected apps like Jira, Confluence, SharePoint, Miro, and Figma.
  • It uses AI to make the search results better and more insightful.
  • It has simple connectors to make integration easy.
  • It handles your data securely with enterprise-level encryption.
  • You can do simple keyword searches or use more advanced filters.
• Pros:
  • It’s excellent if your team uses lots of different tools and you need one place to search across all of them.
  • It puts a big focus on finding information efficiently, which really helps teams access knowledge faster when they’re using multiple platforms alongside Jira.
• Cons:
  • It’s mostly a search tool. Its AI automation features aren’t really focused on doing things within Jira workflows compared to tools specifically for AI agents.
  • The integration might be more about getting data out than automating tasks or updating issues directly.
  • Pricing wasn’t easy to find in the source material.
• Pricing Overview: Pricing wasn’t specified in the source, but it’s most likely a subscription service.
• Ideal Use Case: Great for teams who need a powerful, central place to search and quickly find relevant project details, documents, or tickets across all the different apps they use, including Jira.

4. Concierge AI

Concierge AI presents itself as a pretty advanced AI assistant that connects with a whole bunch of popular software platforms like Jira, Slack, Notion, HubSpot, and more. The idea is to give you smooth AI features combined with customized workflow automation by talking directly to these tools.

• Key Features:
  • It talks directly to your software platforms to get real-time data and perform tasks.
  • You get access to several top AI models (like GPT, Claude, Grok, DeepSeek) all through one subscription.
  • It gives you tailored answers based on what you prefer.
  • It can even look at your past conversations to find insights.
• Pros:
  • It connects to a large number of popular work tools, which is handy.
  • You can interact with data in those platforms in real-time.
  • It’s flexible because it lets you use different AI models.
  • It can help with personalized automation and creating content.
• Cons:
  • While it connects to Jira, the source didn’t go into lots of detail about how deeply it automates specific Jira workflows (like automatically updating fields or complex routing).
  • You might need some specific setup for more complicated, multi-step tasks within Jira.
  • Pricing wasn’t readily available in the source either.
• Pricing Overview: It gives you access to multiple AI models with one subscription, but the source didn’t specify the exact pricing.
• Ideal Use Case: This could be a good fit for teams using a mix of different software tools, including Jira, who want one AI interface to grab data, ask questions, and maybe do simple tasks across all their different apps without constantly jumping between them.

5. QueryPal

QueryPal is an AI tool specifically focused on automating ticket responses for support teams. The description is pretty general for support, but it’s listed as an “AI Assistant for Jira,” so it seems relevant for teams using Jira Service Management or similar setups for customer support.

• Key Features:
  • It automatically replies to common tickets and questions.
  • The goal is to make sure responses are consistent and accurate.
  • It’s designed to help boost productivity by handling routine support questions, using AI-powered workflows to do it.
• Pros:
  • It has a strong focus on automating answers to questions that come up frequently in support, which is great.
  • It specifically aims to lighten the load on agents dealing with repetitive questions, and that can save a lot of time.
• Cons:
  • The description is quite general about support teams. It doesn’t really detail its specific Jira integration abilities or how it might automate more complex Jira workflows beyond simple replies.
  • It might be more geared towards general helpdesk platforms rather than deep Jira project management automation.
  • Pricing wasn’t readily available in the source.
• Pricing Overview: Pricing wasn’t specified in the source, but it’s likely a subscription service.
• Ideal Use Case: This seems best for support teams using Jira Service Management or similar Jira setups who primarily need a tool to automatically answer a lot of common customer questions so their agents can focus on the trickier stuff.

6. Amazon Q Business

Amazon Q Business is a generative AI assistant built for employees across a company. It helps them find information, get insights, and even take actions using all the company’s data and connected systems. It’s designed for big businesses and can be used in lots of different ways.

• Key Features:
  • You can interact with it using natural language to look for data, create content, or even develop simple applications.
  • It offers a single search across over 40 built-in connectors (which could include data from Jira).
  • It gives customized answers based on what you’re allowed to see.
  • You can access it through web browsers, Slack, Microsoft Outlook, Word, and Microsoft Teams.
• Pros:
  • It’s useful for many different roles across a company, not just development or support.
  • It’s really good at integrating data from a wide variety of sources.
  • It has solid security and access controls to keep your data private.
  • It can help both with creating content and automating tasks just by understanding what you ask.
• Cons:
  • You might need quite a bit of setup and configuration to connect it and tailor it for specific Jira workflows.
  • It’s not a tool that lives inside Jira, but more of a separate AI layer for the whole company.
  • The pricing structure for large companies could potentially be complex.
  • Pricing wasn’t readily available in the source.
• Pricing Overview: Pricing wasn’t specified in the source. Since it’s for big businesses, it likely uses custom or tiered pricing based on how much you use it and what features you need.
• Ideal Use Case: This is probably best for large companies using Jira alongside lots of other data sources and systems. They might want one AI assistant for finding knowledge, creating content, and getting help with tasks across the whole organization, not just within Jira itself.

7. Kore.ai

Kore AI offers an enterprise-level AI agent platform focused on automating things, boosting efficiency, and improving how companies interact with customers. It has tools that let you build things without code and provides scalable, customizable tech for AI-powered work automation and smart service solutions.

• Key Features:
  • It offers AI-powered automation and helps optimize processes at work.
  • It provides smart service solutions for both customers and employees.
  • It’s designed to work with different AI models, giving you flexibility across various data sources, cloud environments, and applications.
  • You can build pretty sophisticated conversational AI agents with it.
• Pros:
  • It’s a powerful, enterprise-grade platform that can handle complex automation needs.
  • You can customize it a lot for your specific business processes.
  • It can be used for helping customers or supporting employees internally.
  • It has a good track record working with large companies.
• Cons:
  • It’s primarily built for large businesses, which might mean it’s more complex and potentially more expensive for smaller teams.
  • The source didn’t really highlight specific details about how easy or deep the setup is for integrating and automating workflows specifically within Jira.
  • Pricing wasn’t readily available in the source.
• Pricing Overview: Pricing wasn’t specified in the source. Since it’s for enterprises, it likely uses custom pricing models.
• Ideal Use Case: This is probably for large companies using Jira as part of a bigger, complicated setup of tools and processes. They would need a powerful, highly customizable AI platform to automate sophisticated workflows and interactions across the whole business.

8. My AskAI

My AskAI is a platform that lets you create AI chatbots by training them on your own content – things like documents, webpages, or data synced via API. The idea is that the bot can then give you instant, factual answers based on that knowledge. It’s listed as having integrations relevant to Jira.

• Key Features:
  • It’s easy and fast to train it on different content sources (files, public website links, API data).
  • It gives you instant, factual answers and even shows you where it got the information from.
  • You can use the bot in different places (like a chat bubble on your website, in Slack, or via API).
  • You can set up custom answers, suggested fixes, instructions for the bot, and access live data.
• Pros:
  • It’s simple and quick to set up a Q&A bot using your existing content.
  • It clearly shows you the source of the answers, which is helpful.
  • You have flexible options for where you can put the bot.
• Cons:
  • Here’s the crucial bit: according to the source, My AskAI doesn’t currently have a live integration specifically for Jira. This means you’d have to manually export your Jira content and import it as files or public links, or sync it using their API. That adds an extra manual step for Jira users.
  • Pricing wasn’t readily available in the source.
• Pricing Overview: Pricing wasn’t specified in the source, but it’s likely tiered based on how much you use it or what features you get.
• Ideal Use Case: This could work for teams who need a quick way to make a Q&A bot from documents or webpages, and who are okay with manually getting data out of Jira or using the API to feed Jira content into the platform. Or perhaps teams who are interested in the platform but waiting for a direct Jira integration. You can find more details on their Jira integration page, which mentions the lack of a live integration.

Comparison table

Here’s a quick look at how these top Jira AI assistants stack up based on things that matter to Jira users:

Tool	Integration Method	Jira Focus	Key Capabilities	Pricing Model
eesel AI	Connector	Service Mgt / Workflow	Automation, Search, Replies, API Actions	Per-Interaction
Atlassian Rovo	Native	Project Mgt / Support / Chat	Search, Chat, Agent Tasks	Tiered (Platform Add-on)
Everfind	Connector	Search	Unified Search & Insights	Subscription (Unlisted)
Concierge AI	Connector	General SaaS Interaction	Chat, Multi-Model AI, Data Access	Subscription (Unlisted)
QueryPal	Connector	Support Ticket Replies	Chat Automation	Subscription (Unlisted)
Amazon Q Business	Connector	Enterprise Knowledge Tasks	Search, GenAI, Task Help	Tiered (Enterprise)
Kore.ai	Platform/API	Automation / Conversational AI	Workflows, Conversational Agents	Custom (Enterprise)
My AskAI	Export / API	Q&A from Content	Chat, Source-Linked Replies	Tiered (Unlisted)

Tips for choosing and implementing a Jira AI assistant

Choosing an AI assistant for Jira? Start with the real pain points. Are you buried in repetitive tickets? Struggling to find info across tools? Or wasting time on manual updates? Go for a tool that solves your biggest friction first.

Also consider where your team’s knowledge lives. If it’s spread across Jira, Confluence, Google Docs, or wikis, pick an AI that can pull from all those sources. Tools like eesel AI can connect to 100+ systems, giving your assistant the full context.

Then, check the depth of integration. Some tools just search Jira data. Others go further like automating triage, tagging, and notifications inside Jira.

Watch the pricing model. Some tools charge per agent or resolution, which can get expensive fast. Predictable pricing like eesel AI’s pay-per-interaction model is easier to manage as you scale.

And remember, testing is important. You need to simulate workflows and responses before rolling out AI to your team. Lastly, don’t forget onboarding, solid vendor support makes setup smoother and adoption easier.

Finding the right AI partner for your Jira workflows

Adding an AI assistant to your Jira setup can give your team a real productivity lift. By taking care of repetitive tasks and making information easier to access, these tools free up your team to focus on the work that really matters.

The right tool depends on your specific needs, but it should fit smoothly into your current Jira setup, learn from your internal content, offer flexible automation, and have a clear, scalable pricing model.

eesel AI stands out for teams using Jira Service Management. It connects with the tools you already use, learns from sources like past tickets and docs, and gives you full control over how it behaves all the while keeping costs predictable with a pay-per-interaction model.

So, are you ready to explore what eesel AI can do? Book a demo to see eesel AI in action with your own data and workflows, or start a free trial—no credit card needed.