Virtual Agents

To create a virtual agent, begin by defining what tasks it should perform and what outcomes you want. Select a development tool or platform that fits your needs, such as Dialogflow, Microsoft Bot Framework, or IBM Watson. Design conversational flows that cover expected user inputs, add AI components to interpret natural language, connect the agent to necessary systems or data sources, and thoroughly test before launching.

A virtual agent is an AI-powered assistant that interacts with users through text or voice to provide information, complete actions, or solve problems. Unlike basic chatbots that handle simple scripted questions, virtual agents use machine learning and contextual understanding to manage more complex dialogues and deliver personalized responses.

In virtual agents, can I build my own chatbot?