What Is an AI Gateway and Why Does It Matter for Enterprise Model Deployment?

An AI gateway is being positioned as a management layer between enterprise applications and the AI models they use, addressing the problem that companies often deploy more models than they realize. The article describes the gateway’s role as a “middle layer” that routes requests, verifies who is asking, and records activity. Unlike a standard API gateway, it can track prompt and token details, the model that responded, and associated cost. It can also send routine tasks to cheaper models, switch providers if performance drops, and centralize logs for easier oversight. The piece argues this “one front door” approach can reduce duplicated integrations and speed up launches.