A computer-based method to identify and solve problems that exist in a real-world system by cross-functional, cross-industry logic methods and technology-enabled infrastructure to facilitate inventive business problem solving through integrated system and method to (1) extract system problem and formulate TRIZ contradiction inputs, (2) refine the problem statement, (3) search TRIZ business matrix and apply the TRIZ business principles, (4) formulate solutions, (5) apply domain context, (6) generate outputs, and refine the system to enhanced stated for future iterations. More particularly, the present invention allows users to state problems in plain language (English or other), audio, images, video, sensor data, or other information format. The system then analyzes the information and performs semantic information extraction to translate the human-stated problems to Resource Description Framework (RDF) data model ontological subject-predicate-object expressions (triples, in RDF terminology). The problem statement defined in RDF format, is based on the Business TRIZ Engine compatible parameters, which allows general solutions to be determined. These general solutions are augmented with domain-, environmental-, and Organization-specific information to produce domain-specific solutions. Extracted problems and problem solutions are integrated back into the system.