The enterprise infrastructure layer behind successful AI applications

The journey of developing AI applications often begins with a focus on model selection and optimization, but as these apps gain traction and move into enterprise environments, the focus shifts to infrastructure and security concerns. This transition involves addressing complex issues such as authentication, authorization, multi-tenancy, user provisioning, and real-time protection, which are essential for integrating, authenticating, and authorizing within enterprise systems. These components form an invisible infrastructure stack that ensures the AI app can scale, operate securely, and meet enterprise requirements, necessitating features like enterprise SSO, SCIM for user management, and audit logs for accountability. WorkOS offers pre-built infrastructure solutions that help developers quickly achieve enterprise readiness, enabling them to focus on product differentiation without being bogged down by the intricacies of building and maintaining these essential systems in-house. This approach is crucial in a rapidly evolving market where meeting enterprise standards quickly can be a significant competitive advantage.