QA teams have never been more central to product success or more pressed for time. As complexity increases, testers are expected to deliver broader coverage and deeper insight into system behavior while keeping pace with shorter release cycles.
Model-based and data-driven testing offer a structured way to design tests that uncover gaps, ensure coverage, and reduce duplication. But building models and identifying parameters is time-consuming, requiring testers to sift through requirements, documentation, and specifications.
It’s time to enter an evolved era.
Exclusively available in Xray Enterprise, AI Test Model Generation transforms natural-language requirements into visual models of your system. With this capability, teams understand behavior faster, identify missing scenarios, and expand coverage with confidence.
Instead of spending hours reading and parsing requirements, you can:
The result: less time spent writing and structuring, more time spent testing what matters.
While many tools focus on test generation, few address the crucial modeling step that comes before. Models form the foundation of structured test design, but creating them manually is labor-intensive, especially when requirements stretch across hundreds of pages or multiple formats.
We believe there’s a better way.
Xray uses AI to accelerate parameterization and model creation, without removing human judgment from the process. Testers remain in complete control - reviewing, refining, and validating suggestions before finalizing. The AI becomes a collaborator that adapts to your evolving model, making iteration faster and easier.
When enabled, AI Test Model Generation allows you to:
Everything happens within your familiar workflow: secure, integrated, and designed to scale.
✅ Exclusive to Xray Enterprise
Unlock advanced modeling capabilities tailored for teams working at scale.
✅ AI assistance, not automation
You stay in control. Every suggestion is reviewed and refined by testers before generation.
✅ Accelerated parameterization
Identify boundary values, equivalence classes, and other testing techniques instantly.
✅ Privacy-first design
All requirement data is encrypted in transit, never stored, and never reused for training.
✅ Seamlessly integrated
Work directly in the Parameters screen - no context switching or separate tools required.
This capability is ideal for:
Xray’s AI Test Model Generation is now available in Open Beta — exclusively for Xray Enterprise users.
You can now use AI to understand behavior, spot gaps early, and expand coverage with confidence — all directly within your Xray Cloud instance.
Prerequisites:
Xray installed on your Jira Cloud instance
Jira Admin privileges
To enable:
Go to Administration (⚙️) → Apps → Features
Open the Xray Features screen and find AI Settings
Click Configure to manage permissions by user group
Use the toggle to enable or disable the feature
This is just the beginning - we can’t wait to hear what you think.
Xray includes three intelligent features powered by Sembi IQ that bring AI directly into your testing workflow:
AI Test Case Generation (available in Standard, Advanced, and Enterprise) — automatically creates draft test cases from written requirements in seconds.
AI Test Model Generation (exclusive to Enterprise) — converts natural-language requirements into structured, visual models for better coverage design.
Together, these innovations help QA teams evolve their AI testing strategy and create a more connected, intelligent approach to quality assurance.
Not at all. Xray’s AI is designed to empower testers, not replace them. Every output generated by AI is fully visible, editable, and subject to human review. Testers make the final call — ensuring creativity, logic, and quality remain in human hands.
Data privacy is at the core of Xray’s AI design. All processing happens safely within your Jira instance — nothing is shared externally or used to train AI models. Information remains encrypted in transit, and all AI features are optional and admin-controlled, so your data stays completely protected.
To enable AI functionality, administrators can go to Administration → Apps → Features → AI Settings in Jira. From there, they can manage permissions, choose which AI tools to activate, and control access across different projects or environments.
Xray’s AI is built specifically for testing — not as a generic automation add-on. Powered by Sembi IQ, it delivers contextual, explainable, and secure intelligence that understands real testing intent. The result? AI that complements human expertise, helping teams test faster and smarter without sacrificing trust or control.