For practical applications, one is often interested in interacting systems in a phase which is thermodynamically unstable in parameter regimes of interest. In traditional approaches, such phases are stabilised through intervening in the dynamics of all system constituents or introducing additional interactions. In this work, we present an alternative approach for stabilising and systematically manipulating phases in the context of many-body interacting systems, namely, subsystem resetting. The idea is simple: only a chosen subpart of the full system is stochastically reset to a fixed configuration, while the rest of the system evolves freely, and we ask what happens to a specific order parameter at steady state. This avoids global interventions and fine-tuning of couplings. We have applied this protocol across a wide variety of models, namely, mean-field spin models and the noisy Kuramoto oscillator system. In this talk, after discussing the protocol, I will focus on the application to Kuramoto oscillators and one of the spin models. I will demonstrate how resetting a subpart can have robust control of the phase diagram of the original model for the rest of the system, by adjusting the reset frequency, subsystem size, and reset configuration. These results open up a versatile framework for stabilising or suppressing targeted phases in complex interacting systems.