Introducing AI Test Model Generation in Xray Enterprise - Xray Blog

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.

Join the closed beta to try AI Test Model Generation

Introducing AI-Powered Test Model Generation 

Exclusively available in Xray Advanced and 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:

• Generate parameters in seconds to jump-start your model design.
• Upload supporting files to guide the AI, improve context, and align with your scenarios.
• Leverage built-in design guidance to identify parameter and value candidates.
• Rely on AI awareness of testing techniques such as boundary value analysis and equivalence classes, with suggestions when appropriate.

The result: less time spent writing and structuring, more time spent testing what matters.

Why we built AI Test Model Generation in Xray Advanced and Enterprise

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.

How AI Test Model Generation works in Xray Advanced and Enterprise

When enabled, Xray Enterprise AI Test Model Generation allows you to:

• Provide goals and context in natural language.
• Upload text-based formats (no special preparation or data cleansing required).
• Receive AI-suggested parameters and values directly in the Parameters screen.
• Iterate seamlessly as the AI adapts to your evolving model.
• Request additional AI actions without leaving the tool.

Everything happens within your familiar workflow: secure, integrated, and designed to scale.

What makes Xray’s AI Test Model Generation different

✅ Exclusive to Xray Advanced and 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.

Who's it for

This capability is ideal for:

• QA engineers and testers who are new to model-based testing and want to start faster.
• Experienced teams handling large volumes of requirements across multiple formats.
• QA Leads looking to scale coverage and improve efficiency across enterprise environments.

Xray’s AI Test Model Generation: now in Closed Beta

Apply for early access to Xray's AI Test Model Generation in Closed Beta - exclusive to Xray Advanced and Enterprise. Be among the first to try it and accelerate your test modeling process with AI.

Xray AI Test Model Generation helps you understand behavior, spot gaps early, and expand coverage with confidence. This is just the beginning - we can’t wait to hear what you think.