The best practices for developing and running an efficient and effective test automation program have been discussed by many in the industry. It’s important to determine your strategy, and then implement your test automation in a way that supports your DevOps process. It should also support release timing, provide actionable information for bug resolution and go/no-go release decisions, and meet your risk tolerance specifications.

However, the best practices for automation may look different when you are bringing to bear the power of a generative AI platform for creating and executing your automated tests. The purpose of this guide is to highlight the key areas where Best Practices need to be defined differently and provide you with suggested Best Practices that support the transformative aspects of using a generative AI-based testing platform and framework.