Billing Structure: Models, Architecture & Setup

AI products can outgrow seat-based pricing as agents, model calls, tools, and workflows drive consumption, requiring billing structures that clearly separate product catalogs, entitlements, metering, credits, billing, and payments. Effective designs define the billable entity and account hierarchy, stable usage-event schemas with idempotency and retry handling, package versions, credit lifecycles, limits, and policies for overages, refunds, upgrades, failures, and concurrent usage. Entitlements provide real-time product-facing decisions about feature access and remaining allowances, while billing systems manage invoices, payments, taxes, and financial records; this distinction is important because expensive AI work often must be approved before execution rather than billed afterward. Credit and hybrid models can accommodate varied workloads but generally require ledger-backed balances, expiry and burn-order rules, and request-time enforcement. The text positions Stigg as an intermediary runtime layer that integrates with billing providers to manage entitlements, credits, metering, account hierarchies, and low-latency enforcement for AI applications.

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