The article explores five additional use cases for AI voice agents in various business scenarios, emphasizing their ability to complete tasks through modern speech recognition, real-time reasoning, and natural speech synthesis. These use cases include field technician assistance, order status and logistics tracking, multilingual hotel and travel concierge services, proactive collections and billing support, and post-call summarization and case logging. The implementation of voice AI interfaces in these contexts provides tangible business outcomes such as reducing mean-time-to-repair, lowering queue loads, enhancing customer satisfaction, and ensuring consistent compliance in billing processes. The article outlines the necessary tools, speech stack configurations, and steps for building effective voice AI systems while addressing key challenges like low-latency feedback, multilingual support, and real-time function calls integration. Additionally, it provides guidance on transitioning from demo to production, focusing on reliability, adaptability, and scalability, with an emphasis on maintaining latency standards, ensuring error management, and enabling seamless human handoffs when required.