FAQ - Storm AI
About 10 most important and relevant questions to be used on the Storm AI Web page on the TestRay website.
1. What is Storm AI for Jira?
Storm AI for Jira is a secure integration and orchestration layer developed by Goldfinger Software to enable AI-powered features across its product suite — beginning with TestRay, our flagship Jira-native test and requirements management solution.
Storm AI does not contain AI functionality itself. Instead, it acts as a connector, enabler, and orchestrator, bridging Goldfinger products with external AI services like OpenAI, Google Gemini, Google Vertex AI with Gemini and Azure OpenAI.
Without Storm AI, the AI features inside TestRay cannot be accessed or used.
2. From which version TestRay started to support AI features?
The first version with AI features available is TestRay v12.0, it requires to be installed together with Storm AI for Jira v1.0.
3. What kind of AI features are provided by TestRay + Storm AI for Jira?
Requirement Generation: Converts minimal user input into complete, structured requirements
Requirement Breakdown: Breaks down high-level requirements into smaller pieces for development
Test Case Generation: Drafts test cases from requirements or supplemental input
Defect Creation: Auto-generates Jira bugs from failed test executions
Defect Triaging: Classifies and prioritizes defects automatically, assigning owners based on rules/guidelines
4. What types of AI services are supported
As of now, below 4 types of AI services are supported, the list may be extended if new AI services are available in market in the future.
Google Gemini AI
Google Vertex AI with Gemini
Open AI
Azure Open AI
5. Does it require an AI service provider account in order to use TestRay AI features?
Yes, you may need to subscribe for the AI services you wish to use.
6. Does TestRay store any data for training AI models?
No, TestRay doesn’t store user data. The data could be passed to your AI service provider, details please reach out your provider directly.
7. How can I know the data generated by TestRay AI is as I expected? In other word, how can I make sure the data is generated with HIGH QUALITY?
It solely depends on the AI model which customer configures in AI configuration page. Better you select the model, you will get better quality.
8. Is it possible to review and update AI generated data before it get created?
Yes, you can. AI generated data can be reviewed and updated before it goes to Jira.
9. We have our own format/template of Requirement/Test Case/Defect data, is it possible to define this in TestRay AI?
Yes, The template can be tweaked in Prompt settings under project AI configuration page.
10. During using TestRay AI features, will it expose our data out of Jira? It is our data security concern.
It solely depends on the AI service provider configured by the customer. Most of the popular AI service providers have options to prevent customer data being trained for LLM model in their subscription settings.
11. Is it possible to disable AI features from TestRay?
Yes, you can.
You can either completely disable it from Jira instance, or just disable/enable for a list of Jira projects.