Ai Call Agent

Abstract

A key element of a successful operation in all kinds of industries, including hotels, restaurants, clinics, etc., is the ability to service customers effectively. Although traditional systems for receptionists are expensive to install, there are instances of errors made by humans due to traditional business hours when people will not be available to answer questions. Due to this lack of availability, businesses have lost opportunities to serve customers because they do not return after not having their question answered. Using advanced AI technologies, such as Natural Language Processing (NLP), Machine Learning (ML), and speech-to-text/text-to-speech, the AI Call Agent (a phone system that interacts with customers through natural-sounding dialogue) allows customers to communicate in almost real-time with the AI. As a result, the AI Call Agent can effectively respond to basic service requests like FAQ responses, reservation information, hours of operation, etc., while also being able to automatically escalate requests to a human agent for anything that cannot be resolved via the AI Agent. The AI Call Agent provides support for several different languages, thus allowing companies to service a broader range of customers from varying backgrounds. In terms of technology, the AI Call Agent uses a NextJs & NodeJs for the web and mobile technologies using Flutter, and the functionalities of AI are deployed via a microservice architecture leveraging Large Language Models (LLM). This allows for a higher degree of reliability, better scalability, and improved performance, as well as lower costs for businesses that provide customer service via modern customer queries, than traditional receptionist systems. In addition, testing has demonstrated that the AI Call Agent's speech-to-text capabilities can achieve high levels of speech recognition accuracy.