AI Billing Infrastructure: Why Billing Alone Isn't Enough

AI billing infrastructure is a complex system designed to connect AI product usage with revenue generation, incorporating both financial and enforcement layers to handle dynamic and unpredictable usage patterns. The financial layer comprises event ingestion, metering, rating, invoicing, and payment collection, focusing on tracking and billing settled data. However, AI products require an additional enforcement layer to provide real-time control over entitlements, budgets, and usage governance, ensuring requests are allowed to run only within predefined limits. This separation is crucial due to the unique challenges AI presents, such as the disparate costs associated with seemingly similar requests and the need for detailed attribution to understand usage patterns. Enterprises demand governance features like team-level budgets and audit trails to manage AI adoption effectively, which necessitates a well-architected billing infrastructure capable of both recording and controlling consumption. The runtime layer, exemplified by tools like Stigg, bridges the gap between application and billing systems, offering real-time entitlement checks and spend governance to prevent costly overruns and support enterprise requirements.