What is Operational Resilience?
Operational resilience is the ability of an organization to continue delivering critical services through disruption, including technology failures, cyber incidents, third-party outages, and other operational shocks. In AI compliance, it is important because AI systems and their dependencies can become single points of failure that affect regulated services, customer outcomes, and incident reporting obligations.
In Depth
In practice, operational resilience means identifying important business services, mapping the people, processes, systems, data, and vendors that support them, and proving that disruption tolerance, recovery, and communication plans are in place. For AI-enabled operations, this includes testing fallback procedures, managing model drift and vendor dependency, maintaining incident response and change management controls, and ensuring that critical decisions can still be made when AI services degrade or fail.
This concept is central in financial services and digital operational governance, especially under DORA and related supervisory expectations, and it is also aligned with broader ISO 27001 and ISO/IEC 42001 control thinking. It matters to compliance teams because resilience evidence is often required in audits, regulatory exams, and outsourcing reviews, particularly where AI vendors, cloud infrastructure, or integrated decision systems support essential functions.
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