As organisations adopt new digital tools, work in mixed or remote teams, and commit to sustainability targets, their approach to employee engagement is also shifting. This chapter examines how Artificial Intelligence is being built into Human Resource Management Systems (HRMS) and how these systems affect everyday experience at work. It looks in particular at tools such as machine-learning models, sentiment analysis and other predictive techniques that turn interaction data into signals managers can act on. Using these systems, organisations can adjust support for specific teams and individuals, spotting early signs of disengagement or strain and creating more space for wellbeing and psychological safety. The chapter also considers the ethical side of this development, especially questions of transparency, fairness in data use and the impact of AI-supported decisions in hiring, appraisal and off boarding. Overall, it argues for an engagement approach that keeps compassion, equity and responsibility at its core even as AI becomes more prominent in HR practice. It considers how these values can guide employee participation in increasingly digital and hybrid workplaces. The case studies show how several organisations use AI for more than process optimisation. In these examples, AI is also used to strengthen a shared sense of purpose, support inclusion, and build workforce resilience. The chapter presents employee engagement as a central site of value creation, where technology, everyday employee experience, and governance practices meet. It argues that the way organisations manage this intersection will strongly influence how the future of work develops.