Overview of the AI Gateway pattern as a central control plane for enterprise AI ecosystems, including API abstraction, failover, semantic caching, centralized guardrails, and cost controls. Discuss practical architectural patterns for high-availability gateways that handle thousands of concurrent requests with sub-millisecond in-memory decision-making, separation of control and data planes, asynchronous logging, horizontal scaling, and future MCP integration for tool ecosystems and natural language automation across enterprise software.