Accelerating QA With Xray’s AI Test Case Generation

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Software teams are shipping faster than ever — but testing still moves at human speed.
Agile and DevOps have redefined delivery cycles, yet QA teams are often left struggling to keep up. Between evolving requirements, multiple environments, and constant regression demands, testers are expected to do more with less.

One of the biggest bottlenecks? Test case design.

Creating test cases manually is slow, repetitive, and prone to oversight. Testers spend valuable time translating requirements into steps, writing descriptions, and ensuring coverage across hundreds of user stories. The process can easily take hours — and even then, small inconsistencies can slip through.

At scale, this manual effort becomes unsustainable. It’s not about testers working harder; it’s about needing smarter, faster ways to keep quality aligned with development speed.

That’s why Xray introduced AI Test Case Generation — a new way to create structured, accurate test cases in seconds while keeping human validation front and center.

 

How AI is changing Test Case Design

AI has already started transforming how teams approach quality assurance, but it’s not about replacing testers. It’s about helping them focus on what matters most — testing, not typing.

Traditional test design depends heavily on human repetition: reading requirements, interpreting them, and drafting test steps from scratch. But even the most skilled tester can lose time — or context — doing the same task over and over. AI can help break that cycle.

However, not all AI is created equal. Many solutions act like black boxes, instantly generating full test cases without transparency or control. They may save time initially, but they often miss critical context — leading to test cases that look impressive but fail to reflect real system behavior.

Xray takes a different approach.

Powered by Sembi IQ, an AI platform purpose-built for software testing and security, Xray’s AI Test Case Generation is designed to collaborate with humans, not replace them. Testers remain at the core of decision-making, reviewing and refining every AI suggestion before a test is finalized.

AI handles the writing — but humans guide the reasoning. By blending automation with human expertise, Xray ensures that test design becomes faster without sacrificing accuracy, intent, or trust.

 

Inside Xray’s AI Test Case Generation: a smarter way to design tests

So how does it actually work?

When enabled in Xray Cloud, AI Test Case Generation transforms your existing requirements and preconditions into test case drafts within seconds — structured, consistent, and ready for review. But instead of skipping straight to the finished product, the process remains transparent and interactive:

  1. Select one or more requirements or coverable issues in Jira.

  2. Preview AI-suggested test titles and descriptions generated from your inputs.

  3. Review, edit, or discard suggestions before full test creation.

  4. Generate the approved suggestions into Manual or Cucumber (BDD) test formats.

This “Review, Edit & Select” flow ensures every test reflects real business logic — not just a machine’s interpretation of it. You stay in control, keeping the human element at the heart of testing while still benefiting from AI speed.

Imagine cutting hours of routine writing down to minutes — without losing visibility or precision. Whether you’re managing regression suites or creating new scenarios, Xray’s AI gives your team a reliable head start that you can refine, validate, and expand.

 

What makes Xray’s AI different from other test generation tools

AI Test Case Generation isn’t just another automation shortcut — it’s a deliberate design philosophy built around transparency, control, and security.

Here’s what makes Xray’s approach stand out:

 

Human-guided AI

Every suggestion goes through a tester’s review. The AI proposes, but the tester decides what makes sense.

 

Privacy-first architecture

Xray’s AI Test Case Generation ensures your data is encrypted in transit, never stored, and never used for model training. No data leakage, no sharing across tenants, no surprises.

 

Context-aware generation

Unlike generic AI tools, Xray’s AI works from your real requirements and preconditions, maintaining relevance and alignment with your project’s logic.

 

Real QA workflow support

Whether you prefer Manual or BDD (Cucumber) formats, Xray’s AI adapts to your methodology — fitting seamlessly into your existing processes.

 

Scalable

Built for teams of any size, permissions can be managed through Jira, ensuring safe adoption across departments and projects.

 

While other AI tools aim to automate testing altogether, Xray focuses on assisted intelligence — a model that keeps testers empowered, not sidelined. The result is accuracy you can trust and performance you can scale.

 

How QA Teams Benefit: Faster, Smarter, and More Confident Testing

For QA professionals, AI Test Case Generation isn’t just a time-saver — it’s a strategic advantage.

For Testers, it eliminates the repetitive work of writing similar test cases, freeing them to focus on exploratory testing and edge scenarios. Instead of spending hours on setup, they can invest time where human insight truly matters.

For QA Leads, it enables broader coverage and consistency. Teams can generate a baseline of test cases for new features or requirements in minutes, then collaboratively refine them to match real-world behavior. That means higher quality, fewer blind spots, and smoother collaboration with developers.

For Organizations, it means scaling QA without scaling complexity. Faster test design supports continuous integration and delivery pipelines, reducing delays while maintaining compliance and traceability.

 

This isn’t about doing less testing — it’s about doing it smarter. The human brain still drives quality; AI simply clears the path.

 

Building a Future of Human-Guided, AI-Enhanced Testing

The introduction of Xray's AI Test Case Generation marks more than a product update — it signals a shift toward human-guided intelligence in software testing.

With Sembi IQ at its core, Xray is pioneering a new kind of AI: transparent, contextual, and secure. It’s not a shortcut; it’s an evolution — one where AI handles the repetitive tasks so humans can focus on creativity, strategy, and critical analysis.

This is just the beginning. As AI capabilities expand within Xray, the focus will remain the same: building tools that accelerate quality without compromising control or trust.

If you’re an Xray Cloud user, you can try AI Test Case Generation today. Explore how AI can enhance — not replace — your testing process, and experience firsthand what it means to test faster, smarter, and more confidently.

Enable AI Test Case Generation in your Xray Cloud instance and see how AI and human expertise come together to redefine testing:

 

Prerequisites:

  • Xray installed on your Jira Cloud instance

  • Jira Admin privileges

To enable:

  1. Go to Administration (⚙️)  Apps  Features

  2. Open the Xray Features screen and find AI Settings

  3. Click Configure to manage permissions by user group

  4. Use the toggle to enable or disable the feature

 

This is just the beginning — we can’t wait for you to try our AI feature and to hear your feedback.

 

Xray's AI Features — FAQs

What are Xray’s new AI features?

Xray introduces AI Test Case Generation (available in Standard, Advanced, and Enterprise) and AI Test Model Generation (exclusive to Enterprise), powered by Sembi IQ.

 

Do Xray's AI features replace testers?

No. Our AI features are design to be human-guided and to assist — they don't replace. Testers stay in control of reviewing, refining, and approving every suggestion.

 

What is AI Test Case Generation?

Available in all Xray editions, it converts requirements into draft test cases in seconds. You review, edit, and generate full tests — manual or Cucumber — inside Jira.

 

What is AI Test Model Generation?

Exclusive to Xray Enterprise, it automatically creates visual test models from requirements to reveal gaps and improve coverage.

 

How does Xray protect my data when using AI features?

Your data stays fully protected. It never leaves your instance, is never used for model training, and is always encrypted in transit. Plus, AI features are opt-in, so admins control when and how they’re enabled.

 

How do I enable AI in Xray?

Go to Administration → Apps → Features → AI Settings, configure permissions, and toggle to enable. Available for all Xray Cloud editions.

 

What makes Xray’s AI different?

Powered by Sembi IQ, Xray’s AI is built for software testing — providing contextual, explainable, and secure intelligence within Jira.

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