A new framework, A-LEMS, shifts AI energy accounting from per-inference metrics to Energy per Successful Goal (EpG), highlighting the higher energy costs associated with agentic AI systems. This approach reveals that orchestration structure significantly impacts energy consumption, providing a more accurate benchmarking method for evaluating AI efficiency.