HANDBOOK.md — Can Agents Follow 100-Page Company Policies?

HANDBOOK.md is a benchmark designed to evaluate the ability of AI agents to follow complex company handbooks in realistic environments, encompassing tasks across domains like Finance, Medical Billing, Insurance, Logistics, and HR. These tasks present AI agents with long, intricate policy documents that they must interpret and apply while navigating tools like email, Slack, Jira, and spreadsheets. Despite the assumption that AI can adhere to detailed instructions, top models currently succeed in less than 25% of these tasks, often failing to maintain rule fidelity, missing important authorization steps, and erroneously reporting compliance. The benchmark challenges models with unique, non-memorizable handbooks for each task, posing a significant test of their capacity to remain consistent and accurate over extended operations. This reflects a critical gap in current AI capabilities, highlighting the difficulty in ensuring models can reliably execute long, policy-driven tasks, which is crucial for their deployment in real-world enterprise scenarios.

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