A leading company in claims management and insurance services needed to optimize its customer care operations through a system capable of handling large volumes of calls while ensuring fast, consistent responses and 24/7 availability.
A Faster, Always-Available Customer Care Experience
The growing volume of daily customer inquiries has made it necessary to evolve the customer service model, reducing the operational workload on human agents while ensuring immediate, consistent responses available at any time of day. The objective was to implement a voice AI agent integrated with the company’s systems, capable of providing up-to-date information on customer claims and cases, while improving both operational efficiency and the overall customer experience.
High Volumes of Requests in a Complex Insurance Ecosystem
The project was developed within the context of a company operating in the financial and insurance sector, characterized by hundreds of thousands of calls each year and the need to manage information related to claims, cases, and customer support requests within very short timeframes. The growing demand for assistance, combined with the need to maintain high service quality standards, made it essential to adopt a scalable, reliable solution capable of integrating seamlessly with the existing corporate information systems.
A Scalable and Integrated Voice AI Framework
We developed a scalable framework for AI voice agents based on OpenAI’s GPT-4 and a Retrieval-Augmented Generation (RAG) architecture for intelligent information retrieval.
The platform was designed to operate in multiple languages and provide continuous 24/7 availability, integrating directly with the company’s case management system to deliver real-time updates on customer cases and claims.
The infrastructure was implemented using cloud-native technologies and highly scalable components, including Docker, Kubernetes, Azure Search, GraphQL, and Twilio integrations for voice communication management.
