This entry explores how complexity science informs transformational change, emphasizing relational dynamics, emergent meaning-making, and dialogic interaction. Traditional linear change models overlook the unpredictability of human behavior and dynamic organizational environments. Drawing on Stacey, Wheatley, Gergen, and others, the chapter argues that meaningful change arises through ongoing dialogue, collaborative sensemaking, and responsiveness to shifting relational contexts. By engaging personal and collective narratives, participants cocreate meaning that fuels intrinsic motivation and shared purpose. A complexity-informed, dialogic approach positions the change agent as a colearner who cultivates conditions for self-organizing transformation rather than imposing predetermined solutions.