This case study investigates the implementation of smart knowledge transfer solutions in a medium-sized, rapidly growing company amid market volatility, internal structural changes, and leadership transitions. It explores the critical knowledge transfer challenges that fast-growing small and medium-sized enterprises (SMEs) face, such as retaining success-critical explicit and implicit knowledge, aligning knowledge management goals with strategic goals and knowledge hiding, and the strategies employed to address them. Utilising the KM4 knowledge management model, the case study provides a structured framework for assessing and improving knowledge management practices. Key focus areas include soft factors, such as organisational and team structures, as well as the integration of advanced technologies, particularly processes driven by Artificial Intelligence, to optimise absorptive capacity and knowledge transfer. The paper emphasises the importance of quick wins and realistic expectation management to build momentum and sustain engagement in digital transformation initiatives. This paper incorporates theoretical insights from knowledge management literature, particularly on the mechanisms through which organisations can institutionalise knowledge continuity amid leadership and market changes. Through this analysis, the paper contributes valuable strategies and recommendations for SMEs navigating complex transitions in dynamic environments, providing a model for other organisations facing similar challenges.