AutomationBench
📰 ArXiv cs.AI
Learn how AutomationBench evaluates AI agents for software automation across multiple applications and policies
Action Steps
- Build an AI agent using AutomationBench to test its ability to coordinate across multiple applications
- Configure the agent to discover APIs autonomously and adhere to policy documents
- Test the agent's performance on real business workflows that span multiple platforms
- Compare the results with existing benchmarks to evaluate the agent's effectiveness
- Apply the insights from AutomationBench to improve the agent's performance in cross-application coordination and policy adherence
Who Needs to Know This
AI researchers and engineers working on automation tasks can benefit from AutomationBench to evaluate their agents' performance in real-world scenarios, while product managers can use it to inform their automation strategy
Key Insight
💡 AutomationBench fills the gap in existing AI benchmarks by combining cross-application coordination, autonomous API discovery, and policy adherence
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🤖 Introducing AutomationBench: a benchmark for evaluating AI agents in software automation across multiple apps and policies 📈
Key Takeaways
Learn how AutomationBench evaluates AI agents for software automation across multiple applications and policies
Full Article
Title: AutomationBench
Abstract:
arXiv:2604.18934v1 Announce Type: new Abstract: Existing AI benchmarks for software automation rarely combine cross-application coordination, autonomous API discovery, and policy adherence. Real business workflows demand all three: a single task may span a CRM, inbox, calendar, and messaging platform - requiring the agent to find the right endpoints, follow a policy document, and write correct data to each system. To address this gap, we introduce AutomationBench, a benchmark for evaluating AI a
Abstract:
arXiv:2604.18934v1 Announce Type: new Abstract: Existing AI benchmarks for software automation rarely combine cross-application coordination, autonomous API discovery, and policy adherence. Real business workflows demand all three: a single task may span a CRM, inbox, calendar, and messaging platform - requiring the agent to find the right endpoints, follow a policy document, and write correct data to each system. To address this gap, we introduce AutomationBench, a benchmark for evaluating AI a
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