Open Automated Decision Model Generation for Structured Standard Online Advice

Companies can obtain significant business value from the automation of routine decision making and advice in standard, day-to-day operating procedures, laws and regulations. Knowledge-based AI techniques allow to offer automated, correct and reliable online advice/decisions for numerous routine cases in areas such as insurance, energy premiums, tax and social security benefits, pricing and discounts, eligibility decisions, etc. The knowledge builds on explicit rules and regulations that can be modeled and exploited in multiple ways. The modelling approach is enabled in practice by the DMN (Decision Model and Notation) standard,. The purpose of the project is a full-track integration from modelling to deployment and application to real cases, by producing an operational decision modelling methodology.