Customer satisfaction is paramount for insurance companies, as firms with superior customer experiences are shown to significantly outperform their peers, leading to increased loyalty and sustainable growth. However, inefficiencies in call centers pose a major challenge, often resulting in customer frustration due to agents' struggles with quickly accessing accurate information. The integration of technologies like Dataworkz and MongoDB, along with tools such as Amazon Transcribe, Cohere, and MongoDB Atlas Vector Search, offers a transformative solution by converting call recordings into searchable vectors, thereby enhancing the speed and accuracy of customer interactions. Dataworkz simplifies the implementation of retrieval-augmented generation (RAG) applications, enabling companies to operationalize AI applications swiftly through a user-friendly interface that supports diverse data connectors and embedding models. This approach not only optimizes staffing and accelerates inquiry resolution but also lays the foundation for more advanced use cases in customer service, such as chatbots and voicebots, ultimately leading to improved operational efficiency and customer satisfaction.