Case-based reasoning decision-making system in internal control rules implementation

Enterprises engaged in operations with money or other property should develop rules and implement internal control in order to counter the legalization (laundering) of criminally obtained income and terrorism financing. Small non-credit financial enterprises experience difficulties in developing rules and implementing internal control in full, which leads to the financial stability degradation of the states and opens up the possibility of law violation. The paper objective is to increase the efficiency of internal control by developing an intelligent automated system that implements a precedent hybrid approach to decision support. With the proposed approach, I am looking for the solution for each new task by searching similar precedents represented by unified patterns in the knowledge base, then by obtaining via adapting solutions for the new task, and then hybridizing the solutions to get the best results and, at last, saving the new task solving pattern in the knowledge base. I developed the operation algorithms and system software using the proposed precedent approach. The system software consists of a web application for use in the branch network of enterprises and a desktop application for individual enterprise branches that do not have a stable channel of communication with the Internet. The system implementation increases the non-credit financial enterprises’ efficiency in terms of internal control by reducing the time and improving the quality of decision making, reducing the number of technical errors and the time to prepare documents.