The process of building an effective, helpful chatbot requires a mixture of software development and ongoing training. On the programming side, implementing AI-powered features like natural language processing (NLP), guided conversations, and machine learning empower the chatbot to understand the user’s intent, guide them to the most helpful information, and retain new information automatically.
As customers and teammates use the chatbot over time, AI-powered solutions like Capacity learn from user feedback and SME input. Additionally, features like document mining and application integration open the floodgates for continued learning without any direct human involvement. Simply put, as an organization adds information to their knowledge base, the chatbot gets smarter!