Adoption Telemetry: Measuring Enterprise AI Adoption from Production Signals

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.

23 pages, 2 figures, 1 table. Open-source reference implementation and Zenodo record (DOI: 10.5281/zenodo.21943955) available