Generative AI, akin to other software needs thorough testing. Concerns include potential non-compliance with organization’s protocols and costly human intervention in controlling outcomes. Testing of Generative AI, however, is complex and less mainstream. Some proposed measures include leveraging test benchmarks, adversarial testing, and test case prompting for Large Language Models. Collaboration in improving Generative AI outcomes is encouraged.