The chapter wraps up Linda and Jan’s journey, showing how a structured, people-centered RE approach turned a complex Contact Center initiative into a coherent, implementable solution. It stresses pragmatic realities: sometimes subject-matter experts must fill the RE role, but success still hinges on clear communication, shared context, and disciplined methods. Practical guidance includes starting with a “big picture,” identifying all stakeholders, aligning business and IT, choosing useful notations, and enforcing rigorous quality assurance—while treating AI and RE tools as helpful assistants, not replacements. Linda and Jan underscore that keeping requirements visible, testable, and accepted—whether in agile or traditional settings—is what de-risks delivery. The chapter then looks ahead to an AI-focused Part 2, exploring how ML, NLP, generative, and agentic AI can amplify RE across the software lifecycle, alongside ethical and sustainability considerations.