Stigg

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Most engineering teams discover the gap between billing and usage enforcement the hard way. AI features ship. Adoption grows. Then one day an enterprise customer asks why a request got blocked while an identical one went through, and nobody has a clean answer. The problem isn’t billing. Billing is working exactly as designed. The problem is that billing records what happened after execution. It was never built to decide what’s allowed while the system is running. And it’s just one layer in a monetization stack that most teams only realize is incomplete once AI hits production.