Why Identity and AI Gateways Must Come First in Enterprise AI Adoption

Enterprises adopting AI tools face foundational risks when employees use personal accounts and self-managed API keys, creating gaps in access control and cost visibility. A structured approach places identity management and an AI gateway as the first stage of deployment, ensuring every request is tied to a company-issued identity. Role-based scopes determine what each user can access, while a secrets manager ensures credentials are stored securely and never shared manually. An AI gateway handles routing, rate limiting, budget tracking, logging, and data protection filters for all calls to cloud LLM APIs. Establishing these controls from day one enables later stages—such as role-scoped data retrieval and per-team budget caps—to function reliably.