The Function of Artificial Intelligence in Business Continuity Management

Artificial intelligence (AI) has become a potent instrument in recent years for improving risk evaluation and mitigation strategies in business continuity management (BCM). Therefore, it is important to study the role of various AI technologies, including AI-driven predictive maintenance (AIDPM), AI-powered incident response planning (AIIRP), Natural Language Processing (NLP), and AI-driven data analytics (AIDDA), in improving risk evaluation for business continuity management. This study, specifically focusing on Sao Tome and Principe, where data was collected from a sample of 162 AI specialists across different sectors in country. The findings demonstrate that AI technologies significantly improve the AIDDA and AIDPM on business continuity management. Notably, it was observed that a significant portion of the respondents preferred the outcomes of NLP over manual analysis when it came to risk evaluation. AIIRP integration has greatly decreased business interruptions and accelerated recovery from unforeseen events. The results suggest that while AI can offer substantial benefits in BCM, its effectiveness depends on local conditions and the integration of traditional risk management practices. This case study offers valuable insights for organizations looking to apply artificial intelligence to risk management frameworks, especially in regions facing similar constraints.