How Consumption-Based Billing Works for AI Products

Consumption-based billing, often synonymous with usage-based billing, charges customers based on actual usage rather than a fixed monthly fee, making it crucial for AI products where every interaction, such as LLM calls or agent actions, incurs real marginal costs. This billing model involves a complex pipeline of event ingestion, aggregation, pricing rule application, and invoice generation, but its challenge lies in accurately handling high volumes of concurrent requests, managing credit balances, and ensuring real-time usage visibility. AI products particularly benefit from this model due to the variable costs associated with different usage patterns, such as inference calls or compute time, which flat pricing models struggle to accommodate. Effective consumption billing requires real-time enforcement mechanisms to prevent cost overruns and ensure that customer actions align with their entitlements and credit limits, a need addressed by platforms like Stigg that integrate with existing billing systems and provide a control point within the request path.

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