Vansah Intelligence uses AI to help you prepare testing content, such as Test Cases and Test Scripts, from requirements and other relevant information. You start a workflow in Vansah, choose its available options, and review the generated content for your team’s needs.
Before you use Vansah Intelligence
A Jira administrator must activate Vansah Intelligence for the workspace. Activation does not automatically generate content.
You need access to the Jira space and the Vansah Intelligence permission. Available features and context options also depend on your subscription.
Open the AI feature for the task you want to complete. Choose the Jira work item, Test Folder, or other supported context that it should use.
What information is used?
The input depends on the feature, your selected context, enabled settings, and subscription. It can include:
Context | Examples of information used |
Jira work item | The work item key, type, summary, description, and supported fields selected in the AI configuration. |
Test Folder | The selected folder’s requirements or description and the relevant repository information. Additional linked or parent context depends on the feature and available options. |
Existing Test Case | Its headline, type, description, preconditions, and supported existing script or comments when generating or converting a Test Script. |
Additional input | Your testing scope, instructions, selected options, and supported attachment content or summaries when the workflow includes them. |
Check that the selected requirements are clear and relevant. Do not assume every Jira field, attachment, or comment is included in every AI request.
What happens during generation?
Vansah checks access and the selected task. The workflow validates the Jira space and the inputs it needs.
Vansah prepares the AI request. It combines instructions for the task with the relevant context and your selected options.
The AI service generates a response. Vansah uses OpenAI for the generation flows described here. Information included in the request is sent to that service for processing.
Vansah displays the result or continues the creation workflow. Some screens show progress as content arrives. The review and save actions depend on the feature you are using.
AI output can be incomplete or incorrect. Check its requirements coverage, expected results, wording, and any generated code before relying on it.
Example: generate Test Cases
Start from the Jira work item or Test Folder you want to test.
Choose the available Test Case settings, such as type, script format, and testing scope.
Review the suggested headlines. Select and edit the cases you want to continue with.
Continue to generate the selected Test Cases and scripts. Completed Test Cases can be saved while this stage runs.
Open the created Test Cases and review their content and links.
For the full steps, see Create Test Cases Using AI from a Jira Work Item or Create Test Cases Using AI from a Test Folder.
Data handling and privacy
Review the information you include in requirements, prompts, comments, and attachments before sending it for AI processing. Use inputs approved for your organization’s AI workflows.
For the published terms covering AI processing, data residency, privacy, and security, see:
If generation is unavailable or stops
The AI option is unavailable: check workspace activation, subscription, and your Jira and Vansah access.
The input is insufficient: add clear requirements or a more useful description, then review the selected context.
Generation stops partway through: read the message and check what has already been created before retrying. In Test Case generation, use Continue when offered to finish the remaining cases.
The result does not match your needs: refine the scope or instructions and review the next result. Keep any correct content that has already been saved.