As AI permeates enterprise operations, ensuring transparency, accountability, and regulatory compliance is paramount. This article delves into the complexities of building robust audit and compliance systems for AI applications, focusing on the unique challenges and regulatory landscape within the United States. We’ll explore architectural principles, key components, and practical strategies to navigate the evolving demands of AI governance, helping organizations mitigate risks and build trust in their AI initiatives.