Description: Operational risk management is the process of identifying, assessing, and controlling risks that could affect an organization’s operations. This approach is fundamental to ensuring business continuity and operational efficiency. Operational risk management involves a systematic analysis of internal and external processes that can generate losses, whether financial, reputational, or resource-related. Through automation with artificial intelligence (AI), organizations can significantly enhance this process. AI enables the collection and analysis of large volumes of data in real-time, facilitating the identification of patterns and anomalies that may indicate potential risks. Additionally, automation helps implement more effective controls and reduces manual workload, allowing risk management teams to focus on strategic decision-making. The integration of AI in operational risk management not only optimizes risk detection but also improves incident response capabilities, resulting in greater organizational resilience. In an increasingly complex and dynamic business environment, AI-supported operational risk management becomes an essential tool for organizations looking to remain competitive and secure.
