A dataset of 409 systems reveals that 86% of Canada's federal AI tools serve internal efficiency rather than public-facing services. Researchers used the ADMAPS framework to show how the government's transparency register obscures accountability. This gap between sovereign AI rhetoric and bureaucratic practice limits public oversight of automated decision-making in the public sector.