Conventional building heating and cooling systems employ control strategies that predominantly rely on ambient temperature. However, this paradigm may not be expedient in buildings equipped with multiple systems controlling the indoor environment – e.g. mechanical cooling and ceiling fans – as these systems may have conflicting operational modes that could compromise thermal comfort and energy efficiency. This study therefore proposes a systems controller based on the Predicted Mean Vote (PMV) index. The proposal was tested in a simulation-based case study where it was compared to the performance of a conventional air temperature-based controller. The results show that PMV-based controller outperforms the conventional controller in multi-system indoor climate control.