Which AI exist for Zephyr Essential and Scale making QA work less and not more demanding.

I am interested in any AI use case and tool that really works to make QA work / testing less demanding. Most teams I know still generate test cases with ChatGPT and Copilot/Claude, and testing libratries are still the best reusable / ROI asset they have. AI also contributes more to costs and creating noise in existing testing libraries and QA often loose track of the true content of test cases. 

I leave her an example to true ROI for BOTH Zephyr Essential and Scale: 

AI Test Case Generator/Manager for Zephyr

https://marketplace.atlassian.com/apps/711766926/ai-test-copilot-for-jira-zephyr-edition?hosting=cloud&tab=overview

Happy to hear your experience and any AI use case that truly helped you to get more efficient.