Introducing AutomationBench
Blog post from Zapier
AutomationBench is an open benchmark introduced to evaluate whether AI models can effectively complete real business workflows, focusing on practical execution rather than theoretical capabilities. Unlike traditional evaluations that assess models on tasks like answering math questions or writing code, AutomationBench measures end-to-end business execution within six key domains—Sales, Marketing, Operations, Support, Finance, and HR—using realistic environments such as CRMs and inboxes filled with live data. This benchmark determines success based on outcomes, not outputs, checking if tasks are completed correctly without errors, and is framed to reflect the complexity and ambiguity of real work situations. Zapier's platform, which processes over 2 billion AI tasks monthly across 3.7 million companies, provides the extensive tool complexity and workflow patterns necessary for this benchmark, offering a public leaderboard and methodology for transparency. Originally developed for internal use, AutomationBench has been made publicly available to help enterprises and model providers assess the practical utility of AI models, with a verified private-set evaluation for model providers and future expansion into additional domains with frontier AI labs and enterprise partners.
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