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Towards Enterprise-Ready Computer Using Generalist Agent
Created by
Haebom
Author
Sami Marreed, Alon Oved, Avi Yaeli, Segev Shlomov, Ido Levy, Offer Akrabi, Aviad Sela, Asaf Adi, Nir Mashkif
Outline
This paper presents ongoing research into the development of a general-purpose agent system (CUGA) for enterprise use. By incorporating cutting-edge agent AI techniques and a systematic approach to iterative evaluation, analysis, and improvement, we have achieved rapid and cost-effective performance improvements, reaching state-of-the-art performance on WebArena and AppWorld benchmarks. We detail the development roadmap, the methodology and tools that enabled rapid learning from failures and continuous system improvement, and key lessons learned and future challenges for enterprise adoption.
Takeaways, Limitations
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Takeaways:
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Presenting an efficient approach to developing enterprise CUGA systems through cutting-edge agent AI technology and systematic iterative evaluation.
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Achieving cutting-edge performance on WebArena and AppWorld benchmarks.
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Provides methodologies and tools for rapid learning from failures and continuous system improvement.
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Emphasizes the evolutionary nature of building agent systems suitable for enterprise environments.
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Limitations:
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As this is still an ongoing research, this is an interim report, not a completed system.
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Lack of in-depth discussion of specific strategies and barriers to corporate adoption.
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Further research is needed to determine the generalizability of the presented methodology and tools and their applicability to other environments.
