🤖 AI Summary
本文提出了一种通过生产使用信号直接计算变更管理阶段进展的方法来衡量企业AI采用情况，并提供了一个统一框架、具体操作化模型及开源实现。
📝 Abstract
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.