Has anyone implemented AI-based testing tools in their workflow? How has it affected test accuracy and time?

AI-based testing tools are gaining popularity due to their ability to improve test efficiency, accuracy, and coverage. Have you or your team integrated any AI-driven testing tools into your workflow? If so, how have these tools impacted the accuracy of your testing, reduced testing time, or helped in identifying potential defects earlier in the cycle? We're interested in learning about the practical benefits and challenges encountered with AI in testing.