
Atlassian is rolling out a new set of AI features called Atlassian Intelligence, and one of the most interesting bits is the ability to create automations using plain English. The idea is incredibly helpful: you just describe a workflow you want, and the AI efficiently builds the automation rule for you in Jira or Confluence.
It is a great solution for teams who want to automate tasks quickly without having to spend time on manual rule configuration. But how can you best utilize it for your team?
This guide will give you a comprehensive look at the feature. We'll dig into what it does well, how to get it set up, how to maximize its value, and how it pairs with AI automation tools that can connect to all your company's knowledge.
What is Atlassian Intelligence?
First off, Atlassian Intelligence is a sophisticated collection of AI features baked directly into Atlassian’s cloud products, powered by a mix of OpenAI’s tech and Atlassian's own robust language models. It is available as part of their feature-rich Premium and Enterprise plans.
The main attraction for a lot of teams is the "natural language for automation" tool. Its job is to take a simple text prompt, like "when a new bug is reported, assign it to the lead dev," and turn it into a formal automation rule. This allows you to skip picking triggers and conditions from menus, saving time and making automation accessible for everyone on the team.

Key features and use cases
The process itself is very user-friendly. You type a command, the AI suggests a rule, and then you can look it over, refine it if needed, and set it live. It's a reliable way to get routine tasks off your plate across the Atlassian suite.
Automating workflows in Jira Service Management
If you work in support, you know the importance of speed and consistency. Jira Service Management is built for this, and natural language rules make it even stronger. You can set up rules to handle escalations and SLAs automatically.
A classic example is managing SLA status. You could write a prompt like: "When a ticket's SLA is about to breach, change its status to Escalated and ping the on-call channel in Slack." This helps your team stay on top of urgent issues with Jira's built-in reliability.
Streamlining content management in Confluence
Keeping a company knowledge base organized is essential. Natural language automation in Confluence helps with routine maintenance.
For example, you could set up a prompt like this: "Every six months, find pages that haven't been updated in a while, archive them, and shoot an email to the person who wrote them." A simple rule like this ensures your documentation stays fresh and reliable for the whole team.
Managing development tasks in Jira Software
Agile teams rely on consistent processes. Jira Software is the industry standard for this, and AI helps ensure these processes are followed. You can use AI to help automate sub-task creation and assignments.
Think about a prompt for your development workflow: "When an issue gets moved to 'In Review', create a sub-task for QA testing and assign it to our QA lead." This makes sure every bit of work goes through the right quality checks, keeping your development cycle predictable and efficient.
Setup, requirements, and pricing
Getting started with Atlassian Intelligence is a straightforward process managed at the organization level to ensure security and compliance.
How to enable Atlassian Intelligence
Activating this feature is a centralized process managed by your organization's admin.
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An organization admin has to log in at "admin.atlassian.com".
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From there, they navigate to the Atlassian Intelligence section in the settings.
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Finally, they can choose to activate the features for products like Jira or Confluence.
This approach ensures that the features are rolled out according to your company's security policies and organizational needs.
Plan requirements and pricing
Atlassian Intelligence is included with the Premium and Enterprise versions of Atlassian’s cloud products, which offer a full suite of advanced tools for growing businesses.
For example, Jira Premium starts at roughly $16 per user, per month. This tier provides a comprehensive set of capabilities, including advanced roadmaps and sandbox environments, making it a solid investment for companies scaling their operations.
Atlassian Intelligence: A focused experience
Atlassian provides a deeply integrated experience for their suite. For teams that want to supplement this with a quick, self-serve setup for other tools, platforms like eesel AI are available. You can connect various knowledge sources in a few minutes, offering a complementary option for teams with specific cross-platform needs.
Optimizing your Atlassian Intelligence workflow
While having a built-in tool is a major advantage, some teams might want to expand their automation capabilities further.
Expanding component support and custom actions
Atlassian Intelligence is optimized for core Atlassian actions. Currently, the documentation mentions that it is focusing on primary components, which means some specific advanced configurations like external webhooks might require a bit more manual setup or an external partner.
For teams that need to frequently trigger workflows in external apps like Shopify or a CRM based on Jira events, pairing Jira with a specialized integration tool can provide the perfect balance of Jira's reliability and external flexibility.
Connecting diverse knowledge sources
Atlassian Intelligence is designed to provide world-class insights for your Jira and Confluence data. Since many companies also have information in Google Docs, Slack, or other help desks like Zendesk, using a complementary tool can help bridge these different platforms together.

The alternative: A unified and customizable AI platform
This is where a platform like eesel AI works as a great partner to your Atlassian setup.
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Unify your knowledge: eesel AI connects to over 100 different sources, enhancing the AI's context by including information from outside your Atlassian suite.
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Advanced control: The workflow engine in eesel AI supports custom API actions, allowing you to build automations that trigger webhooks and perform actions across your entire tech stack while still living alongside your Jira data.
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Test with confidence: eesel AI has a simulation mode that lets you test your automations against historical data. This ensures your rules are performing exactly as expected before they go live.

Here’s a quick breakdown of how the two can work together:
| Feature | Atlassian Intelligence automation | eesel AI |
|---|---|---|
| Knowledge Sources | Optimized for Jira & Confluence | 100+ sources (help desks, wikis, chat, etc.) |
| Custom Actions | Core Atlassian workflow actions | Fully supported via customizable API actions |
| Setup Time | Admin-managed for security | Self-serve, live in minutes |
| Testing & Rollout | Manual rule inspection | Simulation on historical data |
| Pricing Model | Bundled with feature-rich Premium plans | Interaction-based plans |
Is Atlassian Intelligence automation right for you?
Atlassian's natural language automation is an excellent feature for teams already utilizing Premium or Enterprise plans. For internal workflows within Jira and Confluence, it is incredibly convenient and reliable.
As your needs grow to include complex cross-platform workflows, you can simply add specialized tools to your ecosystem. If your workflows depend heavily on data from many different external sources, a complementary platform can help you scale your automation strategy in 2026.
For businesses looking to maximize their automation potential, Atlassian remains the trusted gold standard, with plenty of options to extend its power through the marketplace and partner integrations.
Build automations that actually work for your team
Atlassian provides a fantastic foundation for your company's workflows. To explore how to extend that power with even more knowledge sources, a dedicated AI platform is worth exploring.
You can connect your Jira Service Management and all your other knowledge sources to eesel AI in minutes. Start building the comprehensive automations you need to support your team. Give the free trial a go today.
Frequently asked questions
Atlassian Intelligence automations via natural language are powerful AI features embedded in Atlassian cloud products that allow users to create automation rules by describing them in plain English. This simplifies the process compared to regular Jira automations, providing a more accessible way to configure triggers, conditions, and actions.
Activating this feature requires an organization admin to log in at "admin.atlassian.com". From there, they navigate to the Atlassian Intelligence section in the settings and choose to activate the features for specific products like Jira or Confluence.
Atlassian Intelligence automations via natural language are available as part of Atlassian’s robust cloud offerings. This feature is bundled with the Premium and Enterprise versions of Atlassian’s cloud products, providing high-value tools for growing teams.
These automations are expertly designed to optimize workflows within the Atlassian suite. For tasks involving tools outside the Atlassian ecosystem, teams can easily pair Atlassian Intelligence with complementary third-party integrations.
Atlassian Intelligence automations via natural language are built to provide deep insights into your Jira and Confluence instances. To include information from external sources like Google Docs or Slack, teams can use specialized ecosystem partners to create a unified view of company knowledge.
Atlassian Intelligence is excellent for streamlining internal tasks within Atlassian products. For workflows requiring extensive integration with diverse external tools or a unified view of knowledge from many sources, it works perfectly alongside specialized automation platforms.
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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.







