Atlassian AI vs Just Search — The Case for Choice and Control
Intro
AI is transforming Atlassian’s ecosystem, but one size rarely fits all. Enterprises need flexibility — in technology stack, pricing, and data governance. That’s where Just Search stands apart.
Atlassian AI: The Locked Box
Atlassian’s AI offers convenience through native integration but relies on fixed models and opaque pricing. Enterprises have little control over how AI is trained, which model is used, or how costs scale.
Just Search: Open, Flexible, Transparent
Just Search takes a modular approach. It connects to Jira and Confluence, then lets customers decide which AI engine powers it. Want to use OpenAI today and switch to a private model later? You can. Want cost caps or different engines per department? Possible.
Functional Differences
| Capability | Atlassian AI | Just Search |
|---|---|---|
| AI Provider | Fixed | Customer’s choice |
| Cost Transparency | Limited | Full control and monitoring |
| Natural Language Search | Partial | Comprehensive |
| Summaries & References | Basic | Detailed + linked sources |
| Coverage | Separate per tool | Unified Jira + Confluence |
Business Impact
This flexibility isn’t just technical; it’s strategic. By aligning AI selection with security and cost frameworks, enterprises ensure compliance without slowing innovation.
Real Use Cases
- Knowledge Discovery: Managers get summarized reports from thousands of Confluence pages.
- Operational Insights: Teams query Jira in plain English and receive aggregated results.
- Governance: Finance tracks AI token use per department.
Closing Thought
AI in Atlassian tools should adapt to your business — not the other way around. Just Search delivers that freedom, combining enterprise control with the intelligence users expect.