As enterprises increasingly embrace Generative AI (GenAI) for building software and AI products, the imperative for responsible adoption has never been greater. While GenAI offers transformative power, it also introduces unique challenges related to ethics, trust, and transparency. Organizations are keen to build with AI, but often lack awareness of the crucial guardrails needed to prevent mishaps. This talk addresses the critical question: How much GenAI integration is optimal? Exposing too much risks significant reputational damage, yet too little hinders innovation. We delve into practical experiences of how GenAI can cause reputational problems and, more importantly, how to proactively avoid them by establishing effective guardrails. Attendees will gain actionable insights into navigating the complexities of GenAI adoption, ensuring optimal outcomes while safeguarding organizational reputation and fostering trustworthy AI systems.