Payment Decisioning Engine: Real-Time Enforcement Guide

Payment decisioning engines evaluate transaction context, policies, risk signals, account state, and routing options to approve, decline, review, route, or require verification before or during payment processing, whereas payment processors execute the transaction itself. As AI agents increasingly make purchases and consume paid APIs, compute, and credits autonomously, similar real-time enforcement is needed within product request paths to verify entitlements, balances, limits, and spend policies before usage occurs. Effective production systems require low-latency access to accurate, ledger-backed state; controls for concurrency and idempotency; versioned and traceable policies; tenant-aware rules; and predefined fallback behavior for service failures. The text positions Stigg as a usage runtime that provides synchronous enforcement for entitlements, credits, limits, and spend governance, while conventional billing providers remain responsible for payments, invoicing, taxes, refunds, and collections.

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