Official documentation Jira Cloud GPT-5.4 reasoning

AI Test Studio documentation

Everything teams need to understand how AI Test Studio works: product capabilities, supported inputs, review and regeneration flow, integrations, governance controls, and privacy-oriented design for EU and US teams.

Overview

AI Test Studio is a Jira Cloud app that helps teams generate high-quality test cases from Jira issues using GPT-5.4 reasoning. The app is designed for review-first QA workflows where users want faster test design without giving up control over what gets created.

It supports manual test cases and BDD / Gherkin scenarios, can use extra Jira context and attachments as input, and can create approved output directly in Jira, Xray Cloud, or Zephyr Scale / Essentials.

AI generation

GPT-5.4 reasoning

The product is designed around GPT-5.4-powered reasoning to generate more complete, structured, and usable test suites from requirements.

Manual and Gherkin output

Teams can generate classic step-by-step manual test cases or BDD / Gherkin scenarios from the same Jira-driven flow.

Built for practical QA

The focus is not generic AI text, but actionable test design that can be reviewed, selected, and published into existing QA workflows.

Context and attachments

AI Test Studio can generate tests from more than the issue description alone. The app can use a combination of:

  • Jira summary and description
  • Acceptance criteria or relevant issue text
  • Configurable Jira context fields chosen by administrators
  • Supported attachments selected as additional AI input

This richer context helps produce more relevant, traceable, and complete tests instead of generic output with weak alignment to the source requirement.

Review and regeneration

Preview before create

Generated tests are reviewed before creation so users can keep control over what is actually published.

Select relevant cases

Teams can review and keep the most useful generated output rather than blindly creating every AI-generated suggestion.

Safe regeneration

If AI-generated tests already exist, the app supports safe regeneration by unlinking prior results instead of deleting earlier issues.

Outputs and workflows

AI Test Studio is designed to fit different QA team styles and downstream workflows.

  • Manual mode: generates structured test cases with descriptions, steps, data, and expected results.
  • BDD / Gherkin mode: generates behavior-driven scenarios for teams that prefer specification-style tests.
  • Issue-centric flow: generation starts from the Jira issue so requirements and generated tests remain closely connected.
  • Traceability-friendly workflow: generated output stays tied to the original requirement and can be regenerated as requirements evolve.

Integrations

Jira Cloud

Native issue-centric workflow for generating and managing AI-assisted test creation directly inside Jira.

Xray Cloud

Approved output can be created in Xray Cloud for teams already managing execution, coverage, and reporting there.

Zephyr Scale / Essentials

Teams using Zephyr can create approved AI-generated tests inside their current test management process instead of changing tools.

Enable AI Test Studio in a Jira issue

After installation, users can access AI Test Studio directly from the Jira issue view. This keeps test generation close to the original requirement and makes it easy to generate manual test cases or Gherkin scenarios using the current issue content, configurable Jira context, and supported attachments.

  1. Open a Jira issue in Jira Cloud.
  2. Locate AI Test Studio in the issue view.
  3. Open the app from the issue panel or app entry point.
  4. Generate review-ready test cases from the issue context.
  5. Review the output before creating approved tests in Jira, Xray Cloud, or Zephyr Scale / Essentials.
Jira issue view showing where AI Test Studio can be opened from within the issue interface.

Admin controls and governance

The app includes controls designed for real team environments and Marketplace distribution.

  • Restrict availability by Jira project
  • Restrict availability by issue type
  • Configure which Jira fields are sent as AI context
  • Manage integrations such as Xray and Zephyr
  • Support licensing and operational configuration at site level

Privacy and operations

AI Test Studio is designed with a privacy-aware and operationally practical approach for teams in the EU and US, with generation powered through the official OpenAI platform.

  • Minimizes persistent storage of Jira end-user content outside Atlassian wherever possible
  • Uses review-first generation so users stay in control before artifacts are created
  • Stores limited operational metadata such as configuration, token usage metadata, model information, and timestamps
  • Supports asynchronous generation for richer prompts and longer-running workflows

For the formal policy text, see the Privacy Policy.

Supported attachments

Supported attachments include the following categories and formats:

  • Images: PNG, JPG / JPEG, GIF, WEBP
  • Documents: PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX
  • Text and structured files: TXT, Markdown, HTML, CSV, JSON, XML, RTF