Curious what’s actually useful vs hype.

Wanted to get a real-world temperature check on this. My company in India (B2B SaaS) is being pushed by management to “use AI in our QA process” — classic top-down pressure without much direction.

I’ve personally tried:

• GitHub Copilot for autocompleting test cases (actually useful for boilerplate)
• Cursor for refactoring old Selenium tests (surprisingly decent)
• One of the newer “autonomous testing” tools I won’t name ! complete waste of money

What’s been your experience? I’m specifically interested in whether anyone is using AI for: Test case generation from requirements documents

That seems like the most promising use case to me but I haven’t found a solid workflow yet.