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Frontier LLMs fail to achieve even 65% strict success on real-world business tasks, revealing that current benchmarks mask critical execution invalidity and inefficiency.
BENCHCOMPASS is introduced, a payment-domain benchmark whose construction pipeline builds scenario-grounded tasks from typed evidence packs, applies LLM-based quality checks, creates task-input attack variants, and reserves final item admission for domain experts.
Fair behavior comparisons in agent interactions can dramatically improve performance, reducing response times from nearly 5 seconds to just over 1 second.