AI-Powered Virtual Assistants use natural language processing (NLP) and machine learning to interact with users in a conversational manner, providing assistance, answering queries, and performing tasks. These virtual assistants can understand and respond to a wide range of user inputs, offering support in customer service, scheduling, data retrieval, and more. By continuously learning from interactions, AI-powered virtual assistants improve over time, becoming more accurate and efficient in understanding user needs. This technology helps businesses streamline operations, reduce response times, and enhance customer satisfaction by providing instant, 24/7 support.

One of the key capabilities of modern AI-powered virtual assistants is the ability to use chat to obtain information from unstructured content, integrating seamlessly with AI-Enhanced Content Exploration. While guided conversational paths are essential, generative AI is especially useful for providing helpful information for questions not explicitly covered by existing paths.

ISW excels in building traditional, guided conversations as well as exploring more free-form responses using Large Language Models and generative AI. We can integrate backend systems using OpenAPI format APIs, enhancing the functionality of our conversational models.

Our expertise extends beyond text-based virtual assistants to include voice-based systems. We also develop fully customised, web-based applications with built-in conversational capabilities, including voice input and output. An example of our work is showcased by IBM and the United Nations AI for Good program: