Artificial Intelligence #ai#artificial intelligence
Green SARC: Predictive Cost and Carbon Governance Framework for Agentic AI Systems
A new framework called Green SARC applies the SARC governance-by-architecture approach to predict and bound financial and environmental costs of agentic AI systems. The paper reports four policy-independent results including that an architectural gate achieves 0% over-budget incidents while soft penalties breach 91.5% of budgets. End-to-end token, USD, and carbon savings range from 47% to 55%, depending on policy settings.
Jun 16, 2026 1 source