用友重磅发布BIP“本体智能体”（Ontology-Driven Agent），引领企业AI迈向自主决策时代！

Core Insights - The article discusses the transition of large models from technical breakthroughs to commercial applications, emphasizing the need for businesses to ensure that AI can understand their unique operational logic in a trustworthy and controllable manner [1][17] - In early 2026, the company Youfu launched the BIP "Ontology-Driven Agent," shifting the focus of enterprise AI from "probabilistic generation" to "logical execution," establishing a new foundation for high-quality AI applications in enterprises [1][17] Group 1: Ontology-Driven Agent Overview - The Ontology-Driven Agent redefines enterprise-level intelligent agents, focusing on their ability to reliably and continuously complete specific business tasks, akin to an excellent employee who excels in their role [3][19] - This agent is rooted in Youfu's 37 years of experience in enterprise services, connecting structured and unstructured data through a comprehensive modeling of business entities, relationships, processes, and state changes, creating a real-time, interactive digital twin of business operations [3][19] Group 2: Core Value and Functionality - The digital twin not only reflects the current business state but also possesses predictive, reasoning, and autonomous response capabilities, providing a unified semantic standard for disparate business systems [5][21] - The Ontology-Driven Agent enables a full-loop empowerment by integrating multiple business systems to identify root causes, driving intelligent decision-making, and autonomously completing tasks without human intervention [5][21] Group 3: Value Realization Steps - The implementation of the Ontology-Driven Agent follows a clear three-tiered approach: semantic construction, ontology-driven processes, and autonomous decision-making [6][22] - The first step involves reshaping the business semantic world, allowing business personnel to describe needs in natural language, leading to rapid deployment of intelligent agents [6][22] Group 4: Advanced Capabilities - The second step involves a new generation of intelligent agent platforms that integrate deeply with business processes, allowing for automatic triggering of operational commands [9][25] - The third step focuses on evolving intelligent agents from passive execution to proactive decision-making, enabling continuous monitoring and handling of routine decisions [11][27] Group 5: YonGPT-Ontology - YonGPT-Ontology, based on the BIP system ontology, aims to ensure that AI comprehends and applies business logic effectively, addressing the limitations of traditional large models that rely solely on statistical learning [13][29] - Compared to general large models, YonGPT-Ontology offers deep business understanding, logical output, and a collaborative framework that enhances decision-making accuracy and operational efficiency [15][31] Group 6: Philosophical Shift in AI Development - The Ontology-Driven Agent not only reconstructs the technical stack of enterprise intelligent applications but also shifts the philosophy of enterprise operations, moving from a focus on scale to one on logical depth and certainty in outcomes [16][32] - This transformation enables businesses to achieve a state where commercial certainty is a norm, facilitating smoother digital transformation processes [16][33]