Gartner highlights that emerging artificial intelligence (AI) systems are transforming how organisations manage operational risk, enabling a shift towards resilience-driven frameworks.
According to the report, traditional operational risk management focused primarily on identifying failures and ensuring compliance. However, with increasing complexity in digital ecosystems, organisations are now prioritising resilience—the ability to anticipate, absorb, and recover from disruptions.
AI is playing a critical role in this transition by enabling real-time monitoring, predictive analytics, and automated response mechanisms. These capabilities allow organisations to detect anomalies early, assess potential impacts, and take proactive measures to prevent or mitigate disruptions.
The report emphasises that resilience is not just about technology but also about integrating processes, people, and governance. Organisations must build systems that can adapt to changing conditions while maintaining continuity of operations.
However, the adoption of AI introduces new risks, including model reliability, data integrity, cybersecurity threats, and regulatory compliance challenges. Managing these risks requires strong governance frameworks, continuous validation, and clear accountability.
From a strategic perspective, resilience-focused risk management enhances organisational agility and supports long-term sustainability. It enables businesses to operate effectively even in uncertain and rapidly evolving environments.
The development underscores a broader shift where organisations are moving beyond risk avoidance towards building adaptive and resilient systems powered by AI.
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