Implementation of an Intelligent System of Audit Recommendations in Congolese Public Companies

This study addresses the inefficiencies of audit processes in Congolese stateowned enterprises by proposing an intelligent system of recommendations.Leveraging artificial intelligence (AI), natural language processing (NLP), Unified Process (UP), and blockchain technology, this system automates data analysis, ensures transparency, and strengthens the implementation of audit recommendations.The use of advanced tools, including UML for system modeling and GPT for linguistic analysis, enhances the robustness of the system.The results show significant improvements in speed, accuracy and resource management in public audit processes, providing a roadmap for modern governance in the Democratic Republic of Congo (DRC).