Internal AI platforms are increasingly essential for enterprises deploying generative AI across various teams, as they manage tasks including access, spending, routing, data handling, reliability, and compliance. This broad scope introduces new operational risks due to the probabilistic nature of AI systems, which can change behavior without infrastructure alterations. To mitigate these risks, a comprehensive AI audit is necessary, encompassing access and identity controls, usage governance, request logging, model governance, safety measures, workspace governance, performance, and vendor dependencies. Unlike traditional engineering audits, AI audits must consider the dynamic and interconnected components influencing AI outcomes, requiring a detailed examination of model selection, data handling, and usage patterns. Portkey's AI Gateway offers a unified platform for managing these aspects, providing consistency in access control, policy enforcement, routing governance, observability, and cost oversight, crucial for scaling internal AI platforms effectively.