Enterprise decision infrastructure is the organizational structure that determines whether intelligence becomes decisions, decisions become action, and action becomes value. DI-Std makes that structure explicit, assessable and measurable, so that an organization adopting AI can see where capability is being lost and what to change.
企业决策基础设施,是决定智能能否变成决策、决策能否变成行动、行动能否变成价值的组织结构。DI-Std 让这套结构变得明确、可评估、可测量,使正在引入 AI 的组织能够看清能力在哪里流失,以及应该改变什么。
v1.0 is the current, normative standard. v2.0 develops the measurement of capability conversion and is published as a non-normative concept guide; it does not supersede v1.0.
v1.0 是现行的规范性标准。v2.0 发展能力转化的测量,目前以非规范性概念指南的形式发布,不取代 v1.0。
A fixed vocabulary, the causal measurement model, the decision ontology and seven-stage decision loop, the maturity model and conformance classes, with the normative schemas, reference kernel and conformance suite.
固定术语、因果测量模型、决策本体论与七阶段决策环、成熟度模型与合规类别,并附规范性 schema、参考内核与合规测试套件。
How version 2.0 adds time to the measurement model: capability cohorts with frozen baselines, the absorption curve and rate, where conversion is lost, and how a redesign is verified.
2.0 如何为测量模型加入时间维度:基线冻结的能力队列、吸收曲线与吸收速率、转化在哪里被损耗,以及如何验证一次重设计。
Reports applying the standard to real decision paths in organizations. Each is published as a standalone document and may be downloaded in full.
将标准应用于组织真实决策路径的报告。每一份都作为独立文件发布,可完整下载。
Independently authored. Not ratified by a standards body. Readers are invited to hold the standard to its own falsifiability condition.
独立撰写,未经任何标准组织批准。欢迎读者用标准自己提出的可证伪条件来检验它。
The text is open to quote and cite. The schemas are open to implement without permission. Implementation reports and criticism are welcome.
正文可以自由引用。Schema 可以无需许可直接实施。欢迎实施报告与批评。