Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer

企业语言模型 (CLM)：将隐性且碎片化的企业知识转化为自主、可审计且可执行的企业智能层

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Abstract: 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.

摘要： 企业 AI 部署的失败并非源于模型本身的不足，而是因为组织缺乏一种结构化的基底来编码其决策、谈判和执行方式。通用大语言模型（LLM）不具备特定于企业的本体先验；检索增强生成（RAG）依然脆弱，且缺乏通往可执行操作的路径；静态手册虽然编码了逻辑，却无法进行推理或适应。这要求一种全新的架构，将隐性知识捕获、本体论基础、自主部署和可审计的执行视为从一开始就共同设计的要素。

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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.

本文介绍了企业语言模型（CLM），这是一个将企业结构化、非结构化、多模态和隐性知识转化为基于本体论的企业基础的框架，推理和受控执行均在此基础上构建。CLM 包含五个能力平面和四个架构支柱：将生成式模型与知识图谱耦合的神经符号网格（Neurosymbolic Mesh）；对可重用的策略、角色、异议和目标进行分类与组合的技能图谱（Skill Graph）；将职能领域建模为推理代理的动态数字孪生（Living Digital Twins）；以及强制执行自主权、可追溯性和人工监督的深度安全层。通过“规范即代码”（Spec-as-Code）范式，实现了基础意图与可执行工件之间的桥梁。

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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.

CLM 是这一以基础为中心的类别的一个实例。本文做出了四项贡献：将 CLM 定义为一个独特的研究对象；引入了技能图谱以实现构建过程中的组合可解释性；提出了“智慧监听者”（Wisdom Listener）效应，即具备隐性知识处理能力的基础设施会随着使用而产生价值叠加，并与动态能力和组织学习相连接；此外，来自巴西一家获得 JCI 认证的三级医院的证据，验证了在 LGPD（巴西通用数据保护法）框架下六个成熟度阶段中的三个。