In this paper, we investigate a novel combination of Faster-Than-Nyquist (FTN) signaling and Reconfigurable Intelligent Surfaces (RIS) to enhance the performance of future wireless communication systems. FTN signaling increases spectral efficiency by transmitting symbols at rates higher than the conventional Nyquist rate, thus meeting the rapidly growing demands for higher throughput and lower latency. However, the intentional overlap of symbols introduced by FTN signaling results in increased inter-symbol interference, necessitating advanced equalization methods to recover the transmitted information effectively. To address this challenge, we propose the integration of RIS technology, which dynamically adjusts the phase shifts of its reflecting elements to optimize channel conditions. The RIS optimizes the conditions of the wireless channels, significantly mitigating interference and improving signal quality. We utilize zero-forcing precoding to further enhance the signal-to-interference-plus-noise ratio (SINR), thereby achieving higher reliability and spectral efficiency. Through comprehensive simulations in a wide range of signal-to-noise ratio (SNR) values (0–20dB), we demonstrate substantial improvements in key performance metrics, including bit error rate (BER) and system sum rate. The results confirm that our proposed FTN-RIS integration considerably outperforms conventional methods, achieving superior reliability and significantly increased throughput. By leveraging FTN signaling’s enhanced spectral efficiency and the dynamic channel control of RIS, the proposed approach effectively satisfies the increasing demands of next-generation networks for higher data rates and reduced latency.