Human-centered artificial intelligence (HCAI) presents a transformative approach for enterprises seeking to integrate AI technologies with ethical and user-focused objectives. This chapter offers a step-by-step framework addressing strategic alignment, organizational readiness, resource allocation, governance, and risk management, ensuring AI solutions maintain fairness, transparency, and inclusivity at scale. Drawing on real-world global corporate examples (from companies such as Apple, Meta, and Panasonic) as well as guidance from Stanford Institute of Human-Centered AI (HAI), Organisation for Economic Co-operation and Development (OECD), and the National Institute of Standards and Technology (NIST) AI Risk Management Framework, the chapter details actionable methodologies for aligning AI initiatives with corporate missions, establishing robust oversight structures, and driving cross-functional collaboration among data scientists, ethicists, and domain experts. The chapter also examines workforce transformation strategies (including skill-building and incentive systems) and highlights emerging directions, such as the proposed European Union Artificial Intelligence Act (EU AI Act) and advanced AI paradigms (e.g., multimodal learning), that underscore the need for agile adaptation. By showcasing how strategic planning, measurable social returns, and continuous risk monitoring intertwines to form a cohesive HCAI roadmap, this chapter equips executives, product managers, data scientists, and policy leaders with concrete tools to integrate AI responsibly. Ultimately, the chapter argues that organizations balancing technological sophistication with ethical safeguards will cultivate sustainable innovation and growth, elevate user well-being, and fortify societal trust in an evolving digital landscape. Consequently, HCAI can be a source of differentiation for an Enterprise and hence, an essential tool in a modern Enterprise’s strategy toolkit.