AI acceptance testing

https://spark-wiki.win/index.php/AI_Adoption_Training_Gains_Focus_as_Businesses_Seek_Consultant_Evaluation_Tools

AI acceptance testing is where you actually see if your model delivers on its promises. Instead of just checking code, you run real-world scenarios, like having a customer service bot handle angry queries or a recommendation engine suggest products to actual users. It’s the final sanity check before deployment, catching weird edge cases and bias issues that unit tests miss.