
Jira is the gold standard for project management, and with so many powerful features at your fingertips, there is always room to optimize how you handle a high volume of tasks. When you are managing extensive projects, keeping up with detailed updates and moving between complex workflows is a standard part of the process. Imagine having a virtual teammate who could assist with these routine updates, find information in a flash, and help automate your workflows even further.
Turns out, that's exactly what AI assistants for Jira are for. These smart tools are significantly enhancing how teams work within the Jira ecosystem. 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 a mature, reliable platform like Jira is a smart way to stay efficient in 2026. Solutions like eesel AI are part of this growing landscape, offering AI features that work alongside the tools you're already using, including Jira.
What is a Jira AI assistant?
A Jira AI assistant is an AI-powered sidekick designed specifically to work with your Jira platform. Its main job is to make your work life easier by assisting with routine tasks, giving you super-fast access to information, and offering smart insights right there inside Jira.
These assistants use advanced technology like natural language processing (NLP) and machine learning (ML). This means they can understand what you're asking for, analyze your project data, and even perform actions for you, making navigation through Jira's comprehensive menus much faster. 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
As teams grow, Jira provides a robust foundation for project management. Using AI helps teams stay efficient by handling high-volume tasks like status updates, finding related tickets, or locating specific documentation.
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, and project managers get instant insights without chasing updates. McKinsey even found that nearly 20% of knowledge work could be automated; as such, bringing AI into your Jira setup is a logical next step.
Tools like eesel AI complement your setup by connecting to your data and helping automate workflows in a way that matches how your team actually works.

How we chose the top Jira AI assistants
With a variety of AI tools available that integrate with Jira, it's helpful to know which ones offer the most value for professional workflows. To make it easier for you, we've put together this list based on the features that make a real difference in your day-to-day work.
Here's how we decided which ones made the cut:
- Integration quality: We focused on tools made specifically for Jira or ones that offer strong, smooth integrations that go beyond basic linking.
- AI capabilities: The actual AI features were very important. We looked for tools that offered real automation, smart search, chat features, and workflow assistance.
- Productivity boost: We evaluated how much time and effort the tool could realistically save by streamlining common Jira tasks.
- Ease of use: We considered how easy it is to connect the tool to your existing Jira setup and how intuitive it feels to use.
- User feedback: We checked out reviews and industry reputation, looking at places like Slashdot to get a sense of real-world performance.
- Scalability: We thought about whether the tool can grow with your team and if it can be tweaked to fit your specific way of working.
Our list focuses on tools that offer tangible benefits for people who use Jira every day, helping you work smarter and make the most of the platform.
Top Jira AI assistants for 2026
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 task handling 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 vary. It is 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 help streamline support and project-related tasks. It offers both AI agent features to automate conversations and an AI assistant (like a copilot) to support your human agents.
- Key features:
- Automates basic support tickets (in JSM)
- Offers smart sorting (tagging and routing based on ticket content)
- Finds information super fast by learning from Jira, Confluence, Google Docs, PDFs, and over 100 other sources
- Drafts replies for agents through suggested answers
- Performs custom actions via API (like fetching data)
- Allows for the setup of different bots for different tasks or brands
Pros:
- The pay-per-interaction pricing model offers predictable costs that don't depend on agent count.
- It can be trained on your specific internal knowledge, including past tickets and documentation.
- It provides fine-tuned control over the bot's tone, actions, and hand-off triggers.
- It includes solid testing features for trying things out before going live.
- It offers deep workflow automation and a quick, non-disruptive setup (typically 1-2 weeks).
- A dedicated support team is available to help with implementation.
Cons:
- There is an initial integration setup process, though it is designed to be straightforward.
Pricing overview: eesel AI offers tiered plans based on AI interactions. The Team plan is $299/month for 1,000 interactions, and the Business plan is $799/month for 5,000 interactions. Custom Enterprise plans are also available. More details are 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 is customizable, learns from specific internal documents, and helps make agents more efficient.

2. Atlassian Rovo
Atlassian Rovo is a powerful native AI offering from Atlassian. Positioned as an "AI teammate" within their ecosystem, it brings together smart search, chat capabilities, and agents designed to help you automate tasks across Jira, Confluence, and other connected tools.
- Key features:
- Rovo Search allows for searching across all Atlassian tools and many other connected services.
- Rovo Chat allows you to ask questions about your connected data directly.
- Rovo Agents serve as specialized helpers for tasks like drafting release notes or bug reports.
- The AutoDev agent specifically assists developers with code plans and pull requests in Jira.
Pros:
- It is built directly into Jira and Confluence, providing a deep and native integration.
- It can search across a wide and growing list of connected tools.
- It allows for the creation of custom agents tailored to your team's needs.
- It is a core part of Atlassian's long-term vision for AI on their platform.
Cons:
- It is primarily focused on the Atlassian ecosystem and tools connected through its framework.
- Pricing is tiered as part of the broader Atlassian Intelligence platform, which may require specific plan adjustments.
Pricing overview: Rovo is part of the Atlassian Intelligence platform. Pricing is generally tiered, and it is best to check Atlassian's current offerings for the latest details.
Ideal use case: This is perfect for teams who are heavily invested in the Atlassian ecosystem and want AI search and automation built natively 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 that helps teams quickly find information across various tools, including Jira, Confluence, and Microsoft SharePoint.
- Key features:
- A single search bar to look across apps like Jira, Confluence, SharePoint, Miro, and Figma.
- AI-driven search results for better insights.
- Simple connectors for easy integration.
- Enterprise-level encryption for data security.
Pros:
- It is excellent for teams using a wide range of tools who need a central search hub.
- It focuses heavily on information retrieval, helping teams access knowledge faster when using multiple platforms alongside Jira.
Cons:
- It is primarily a search tool and does not focus on direct workflow automation within Jira as much as some other options.
Pricing overview: Pricing is typically subscription-based; contact the provider for specific details.
Ideal use case: Great for teams who need a powerful, central place to find relevant project details, documents, or tickets across all the different apps they use, including Jira.

4. Concierge AI
Concierge AI is an advanced assistant that connects with several software platforms like Jira, Slack, Notion, and HubSpot, providing AI features and workflow automation.
- Key features:
- Connects directly to software platforms for real-time data access.
- Provides access to multiple top AI models (like GPT, Claude, and others) through one subscription.
- Offers tailored answers and finds insights from past conversations.
Pros:
- It connects to a wide variety of popular work tools.
- It allows for real-time interaction with data in those platforms.
- It is flexible, offering a choice of different AI models.
Cons:
- While it connects to Jira, complex multi-step tasks within Jira may require more specific configuration.
Pricing overview: Pricing involves a subscription that provides access to various AI models.
Ideal use case: A good fit for teams using a mix of software tools, including Jira, who want a single AI interface to query data and perform simple tasks across different apps.

5. QueryPal
QueryPal is an AI tool focused on automating responses for support teams, making it a useful companion for teams using Jira Service Management.
- Key features:
- Automatically replies to common tickets and questions.
- Ensures consistency and accuracy in responses.
- Uses AI-powered workflows to handle routine inquiries.
Pros:
- It has a strong focus on automating answers to frequently asked support questions.
- It aims to lighten the load on agents by handling repetitive tasks.
Cons:
- It is more specialized for support replies than broad Jira project management automation.
Pricing overview: Pricing is subscription-based; contact QueryPal for details.
Ideal use case: Best for support teams using Jira Service Management who need a tool to automatically handle common customer questions so agents can focus on more complex issues.

6. Amazon Q Business
Amazon Q Business is a generative AI assistant built for employees to find information and get insights using company data and connected systems, including Jira.
- Key features:
- Natural language interaction for data search and content creation.
- Over 40 built-in connectors to integrate data from various sources, including Jira.
- Customized answers based on user permissions and security roles.
Pros:
- It is useful for many different roles across an organization.
- It integrates data from a very wide variety of sources.
- It features enterprise-grade security and access controls.
Cons:
- It is a separate AI layer rather than a tool that lives natively inside Jira, and setup can be comprehensive.
Pricing overview: Pricing is typically tiered based on enterprise usage levels.
Ideal use case: Best for large companies using Jira alongside many other data sources who want a central AI assistant for knowledge management and content creation.

7. Kore.ai
Kore.ai is an enterprise-level platform focused on workflow automation and smart service solutions, offering scalable and customizable tech for work automation.
- Key features:
- AI-powered automation to optimize business processes.
- Smart service solutions for both customers and employees.
- Flexibility to work across various AI models and data sources.
Pros:
- It is a powerful platform that can handle complex enterprise automation needs.
- It allows for significant customization to match specific business processes.
- It is a proven solution for large-scale operations.
Cons:
- Its enterprise focus may make it more complex than smaller teams require.
Pricing overview: Kore.ai typically uses custom enterprise pricing models.
Ideal use case: For large companies where Jira is part of a complex ecosystem and they require a highly customizable platform to automate sophisticated workflows.

8. My AskAI
My AskAI allows users to create AI chatbots trained on their own content, such as documents or data synced via API, providing factual answers based on that knowledge.
- Key features:
- Quick training on content sources like files, website links, or API data.
- Provides factual answers with source citations.
- Bots can be deployed in Slack, on websites, or via API.
Pros:
- It is simple and fast to set up a Q&A bot using existing documentation.
- It clearly displays the sources of its answers.
Cons:
- Currently, My AskAI does not offer a direct live integration for Jira, so users would need to manually sync data via their API or file uploads.
Pricing overview: Pricing is usually tiered based on usage and feature sets.
Ideal use case: Suitable for teams who need a quick way to create a Q&A bot from documents and are comfortable using an API or manual exports to feed Jira content into the platform.

Comparison table
Here's a look at how these tools complement your Jira setup:
| Tool | Integration type | Main focus | Key AI features | 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 and insights | Subscription |
| Concierge AI | Connector | General SaaS interaction | Chat, multi-model AI, data access | Subscription |
| QueryPal | Connector | Support ticket replies | Chat automation | Subscription |
| 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 |
Tips for choosing and implementing a Jira AI assistant
Choosing an AI assistant for Jira? Start by identifying your team's specific needs. Are you looking to streamline ticket responses, improve information retrieval across tools, or automate routine field updates? Choosing a tool that addresses your biggest priorities first will yield the best results.
Also, consider where your team’s knowledge lives. Jira is a massive repository of information, but your team might also use Confluence, Google Docs, or other wikis. Look for an AI that can pull from all those sources to provide full context. Tools like eesel AI can connect to many different systems to ensure the assistant has the information it needs.

Next, evaluate the depth of integration. While some tools primarily search Jira data, others go further by assisting with triage, tagging, and notifications directly inside Jira.
Review the pricing model carefully. A predictable model, such as eesel AI’s pay-per-interaction system, can be easier to manage as your usage scales.
Finally, remember that testing is key. Simulate your actual workflows to see how the assistant handles them before rolling it out. Strong vendor support can also make the onboarding process much smoother for your team.
Finding the right AI partner for your Jira workflows
Adding an AI assistant to your Jira setup can provide a significant productivity boost. By assisting with routine tasks and making information easier to access, these tools allow your team to focus on the high-value work they do best.
The right tool depends on your specific goals, but it should integrate well with your Jira setup, learn from your internal content, and offer a scalable pricing model.
eesel AI is an excellent option for teams using Jira Service Management. It connects with the tools you already use, learns from your specific tickets and docs, and offers flexible automation while keeping costs predictable.
Are you ready to explore how AI can enhance your Jira experience? Book a demo to see eesel AI in action with your own data, or start a free trial - no credit card needed.
Explore more Jira AI resources: Jira chatbot guide with n8n and Jira pricing guide.
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Article by
Kenneth Pangan
Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.





