AI Adoption to AI Governance: Building an Enterprise AI Gateway with Azure API Management and Microsoft Foundry
Introduction Generative AI has moved rapidly from experimentation to production. Organizations are now deploying copilots, intelligent applications, AI agents and enterprise automation across multiple business units. However, successful AI adoption creates a new architectural challenge. As the number of AI applications increases, organizations need to answer questions such as: Which applications are allowed to access which models? How do we control AI consumption and token usage? How do we prevent a single application from consuming excessive model capacity? How do we monitor AI traffic across teams? How do we enforce security and compliance requirements consistently? How do we introduce additional models without redesigning every application? How do we govern AI agents and tools in addition to traditional model APIs? Simply deploying an Azure OpenAI or Microsoft Foundry model does not solve these governance challenges. This is where Azure API Management can become a critical com...
