Traditional conversational AI chatbots, or IVRs, used by enterprises in various industries, rely on the manual building of intent-based flows. That requires constant maintenance, and in order to improve interaction quality with customers, most conversational AI platforms use machine learning, which demands a hefty investment of resources and time.
Hyro’s Adaptive Communications Platform, in contrast, is the best option in terms of deployment and maintenance, as it doesn’t require building conversational flows. With Adaptive Communications, Hyro scrapes data from multiple sources, maps them into a knowledge graph, and adds layers of natural language understanding (NLU). Through Hyro, conversational AI is easily deployable in different channels, such as websites and call centers, and more importantly, it allows adaptive self-learning from day one.
Client interactions become feedback loops by providing real-time data and insights to teams, improving the quality of responses, customer satisfaction, and organizational effectiveness.