Question-answering (QA) systems are able to provide fast, precise and comprehensive answers to natural language questions. This technology is already widely adopted and now rapidly gaining importance in the business environment, where the most obvious added value of a conversational AI platform is improving the customer experience. In this talk, we present QAnswer, a platforms that allows the construction of Question Answering Systems on top of RDF Knowledge Graphs. The focus is on domain-specific use cases that demonstrate how this solution creates added value for an enterprise. We details how a Question Answering system can be constructed using QAnswer and present demos from various domains.