Pay-As-You-Go Pricing Model for AI Products, Explained

Pay-as-you-go pricing charges AI-product customers only for actual consumption, such as tokens, API calls, agent actions, or delivered outcomes, without upfront commitments, prepaid balances, or default spending ceilings. Common structures include per-token, per-call, per-action, per-outcome, and hybrid base-fee-plus-usage models, all of which depend on accurate rate cards, event metering, aggregation, and invoicing. The approach can simplify onboarding, billing implementation, and scaling for variable workloads while aligning charges with usage, but it also exposes customers and vendors to bill shock, runaway automated activity, metering errors, abuse, and less predictable revenue. Unlike prepaid credits, which stop usage when a purchased balance is exhausted, pay-as-you-go generally requires additional safeguards such as spend alerts, cost estimators, real-time usage dashboards, optional limits, and synchronous entitlement or anomaly checks. The text presents Stigg as a governance layer that can add such controls to pay-as-you-go products through request-path checks, credit and budget management, and integrations with existing billing systems.

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