SOP-Bench: A New Benchmark for Evaluating AI Agents on Real-World Business Procedures

Standard Operating Procedures (SOPs) contain an organization's core knowledge and decision-making logic, but it is not easy for AI agents to execute them. This is because real-world procedures require interpreting context not explicitly stated, utilizing on-site knowledge, and making situation-specific judgments. Existing agent benchmarks tested single functions or used mechanically organized prompts, failing to reflect the ambiguity of real-world work.

SOP-Bench is an open benchmark developed to bridge this gap. It combines real corporate procedures written by domain experts, functional tools, and ground truth, designed so that agents are scored on actual procedure completion rather than text generation. This benchmark was presented at the 2026 KDD conference and experimentally demonstrated points where even powerful base models fail.

Key features are as follows:

• Covers 12 business domains: Medical reception, hazardous material classification, customer service, content moderation, financial compliance, warehouse inspection, etc.
• Over 2,000 tasks: Each task includes tool interfaces that agents can call and the correct results.
• Framework structure: Not a fixed task set, but a modular structure composed of SOP text, tools, specifications, and test cases, allowing users to add custom procedures.

SOP-Bench presents a standard for verifying whether AI agents can complete tasks in real business environments through tool calling and state tracking, rather than simply generating text.