This article argues that building trustworthy enterprise AI, particularly multi-agent systems, is fundamentally an architectural problem rather than solely an AI problem. It posits that the ability to rely on execution guarantees, independent of the AI model's correctness, is crucial for establishing "architectural trust." The author introduces the concept of an "Enterprise AI Harness" as the necessary environment for secure, governable, and engineering-ready multi-agent systems, emphasizing that foundational architectural properties must precede components like models, prompts, or frameworks. AI
IMPACT Focuses on the foundational architectural requirements for building reliable multi-agent AI systems in enterprise settings.
RANK_REASON Article discusses architectural principles for AI systems rather than a specific release or event.
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