BizBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business
Existing long-horizon agent benchmarks often emphasize final task success while providing limited assessment of intermediate execution validity. Yet real-world business operations require agents to navigate extensive, potentially outdated or conflicting policies while satisfying critical constraints throughout execution. These requirements are particularly consequential in high-stakes domains such as payments, where intermediate violations can incur financial losses or regulatory consequences regardless of the final outcome. To bridge this evaluation gap, we introduce BizBench, a multi-turn benchmark grounded in real-world procedures from a leading payments company. Its executable environmen
| Authors | Enhan Zhao, Yongqi Tong, Xuejun Yu et al. |
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| Primary category | |
| Published | 14 October 2026 |
| Last updated at source | — |
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- ant-intl/BizAgentBenchDataset
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