In the previous chapter, we explored agentic AI and discussed the ways in which autonomous, goal-oriented agents can orchestrate tasks, collaborate, and self-reflect to achieve complex objectives. It laid the foundation, outlining the architectural considerations, challenges, and outlook for building intelligent agents in enterprise environments. In this chapter, we illustrate the ways in which GenAI, when thoughtfully engineered, transforms manual, error-prone processes into accelerated, automated workflows. From model selection and prompt refinement to evaluation and secure deployment, the focus remains on practical, outcome-driven ways, offering a replicable blueprint for GenAI solutions. This chapter walks you through a hands-on, end-to-end implementation of a real-world use case using generative AI.