As AI adoption accelerates in financial services, governance leaders face the challenge of keeping oversight processes aligned with innovation. OneTrust provides data governance and risk management tools, serving over 14,000 customers worldwide across privacy, security, third-party, and AI domains. Traditional data governance models, often designed for structured databases, are not built to manage today's dynamic, unstructured AI workflows. Without clear frameworks, organizations risk compliance gaps, inconsistent oversight, and even internal conflict over ownership of AI decision-making. In this episode, Shane Wiggins, Director of Product at OneTrust, explores how enterprises can build governance models that not only mitigate risk but also support innovation. He explains why visibility into unstructured data is essential, how to align compliance and product teams through self-service governance, and the importance of making governance "invisible to developers but visible to auditors." Wiggins also details best practices for staying ahead of regulatory change, from embedding flexible policies to creating system cards that clarify model purpose and limitations for clients. The discussion highlights how governance, when done right, can accelerate time to market, reduce compliance costs, and even create a competitive advantage. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by OneTrust. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

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