企业语言模型（CLM）：将隐性和碎片化的企业知识转化为主权、可审计且可执行的企业智能层
Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer
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- Unisinos University（Unisinos大学）
- Care Intelligence（Care Intelligence公司）
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中文总结 AI 辅助
本文提出企业语言模型（CLM）框架，将企业多模态与隐性知识转化为本体化企业基础，通过四大支柱实现可执行智能，含四项核心贡献，并获巴西JCI认证医院的实证支持。
中文摘要 AI 辅助
企业AI部署的失败并非源于模型不足，而是因为组织缺乏编码其决策、协商和执行方式的结构化基础。通用大型语言模型（LLM）没有企业特定的本体先验；检索增强生成（RAG）框架脆弱，无法实现可执行行动；静态操作手册编码了逻辑，但无法推理或适应。这要求一种架构，将隐性知识捕获、本体基础、主权部署和可审计执行作为协同设计的核心。本文提出了企业语言模型（CLM），该框架将企业的结构化、非结构化、多模态和隐性知识转化为基于本体的企业基础，在此基础上构建推理和受控执行。CLM具有五个能力层和四个架构支柱：神经符号网格（Neurosymbolic Mesh），将生成模型与知识图谱耦合；技能图谱（Skill Graph），其中可复用策略、角色、异议和目标被类型化并组合；活跃数字孪生（Living Digital Twins），将功能领域建模为推理代理；以及深度安全层（Deep Security Layer），执行主权、可追溯性和人工监督。代码即规范（Spec-as-Code）范式将基于意图与可执行工件连接。CLM是这一以基础为中心的类别之一实例。本文有四项贡献：将CLM定义为一个独特的研究对象；提出技能图谱，用于通过构建实现组合可解释性；提出智慧监听者效应（Wisdom Listener effect），即具备隐性知识能力的基础模型随使用而价值复合，连接动态能力与组织学习；以及来自巴西一家通过JCI认证的三级医院的证据，实例化了LGPD下六个成熟阶段中的三个。
英文摘要
Enterprise AI deployments fail not from model inadequacy, but because organizations lack a structured substrate encoding how they decide, negotiate, and execute. Generic LLMs carry no firm-specific ontological priors; RAG remains brittle, with no path to executable action; static playbooks encode logic but cannot reason or adapt. This demands an architecture treating tacit-knowledge capture, ontological grounding, sovereign deployment, and auditable actuation as co-designed from the start. This paper introduces the Corporate Language Model (CLM), a framework transforming a firm's structured, unstructured, multimodal, and tacit knowledge into an ontology-grounded enterprise foundation upon which reasoning and governed execution are composed. CLM has five capability planes and four architectural pillars: a Neurosymbolic Mesh coupling generative models with a knowledge graph; a Skill Graph where reusable tactics, personas, objections, and goals are typed and composed; Living Digital Twins modeling functional areas as reasoning surrogates; and a Deep Security Layer enforcing sovereignty, traceability, and human oversight. A Spec-as-Code paradigm bridges grounded intent and executable artifact. CLM is one instantiation of this foundation-centric class. Four contributions follow: CLM is defined as a distinct object of study; the Skill Graph is introduced for compositional explainability by construction; the Wisdom Listener effect is proposed, whereby tacit-capable foundations compound in value with use, connecting to dynamic capabilities and organizational learning; and evidence from a JCI-accredited tertiary hospital in Brazil instantiates three of the six maturity stages under LGPD.
