Decision models contribute significantly to the description of the requirements and the logic of operational business decisions. The Decision Model and Notation (DMN) standard allows automating these decisions. The current scope of decision support, however, is not limited to making the decision. It is also possible to explain the decision-making knowledge in a reliable, user-friendly way by answering various questions based on the explicit knowledge in the model.

This presentation illustrates how an automatic chatbot for DMN models can lead to explainable decisions and useful customer service, using natural language processing and various forms of reasoning. This gives business customers more transparency and trust in the decision process, without expensive and uneffective customer support.

What you will learn:

• Explainable decision models
• Automated customer services
• Effective communication of business decision knowledge