Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems

Current AI energy benchmarks, typically measuring single invocations, misrepresent the cost for agentic systems that involve multi-step orchestration and retries. A-LEMS introduces Energy per Successful Goal (EpG) to aggregate total workflow energy, including failures, providing a more accurate measure of goal completion costs.