AI 中文总结
该研究提出Adoption Telemetry方法，构建统一框架与NANTE五阶段方案，开发开源参考实现，用于从生产信号衡量企业级AI采用情况，区分健康群体与采用失败模式。
AI 中文摘要
我们提出了采用遥测（Adoption Telemetry）：一种通过直接从生产使用信号计算变更管理阶段进展来衡量企业级AI采用情况的方法。本文贡献包括：（1）一个将部署前评估关卡、生产遥测和变更管理阶段统一为一个带检测系统的框架；（2）NANTE，一个具体的五阶段操作方案，带有已定义的遥测阈值，该方案已公开以便接受测试和证伪；（3）一个开源参考实现，可在具有已知真实值的合成群体中区分健康群体与五种典型的采用失败模式。我们明确指出，这些阈值是需要针对实际结果进行实证验证的拟议构造——我们概述了这一研究议程，而非经过校准的模型。
英文摘要
We introduce adoption telemetry: a method for measuring enterprise AI adoption by computing change-management stage-progression directly from production usage signals. We contribute (1) a framework unifying pre-deployment evaluation gates, production telemetry, and change-management staging into one instrumented system; (2) NANTE, a concrete five-stage operationalization with defined telemetry thresholds, published openly so they can be tested and disproven; and (3) an open-source reference implementation that distinguishes a healthy cohort from five characteristic adoption-failure modes on synthetic populations with known ground truth. We are explicit that the thresholds are proposed constructs requiring empirical validation against real outcomes -- a research agenda we outline -- not a calibrated model.
Comments23 pages, 2 figures, 1 table. Open-source reference implementation and Zenodo record (DOI: 10.5281/zenodo.21943955) available
