Disaster Recovery

Organizational

Detailed Explanation

Disaster recovery encompasses the plans, processes, and technical infrastructure for restoring AI systems, data, and services after a catastrophic failure such as data center outages, major security breaches, data corruption, or natural disasters. Key metrics include Recovery Time Objective (RTO, how quickly systems must be restored) and Recovery Point Objective (RPO, how much data loss is acceptable). For organizations that have embedded AI into critical business processes, disaster recovery planning must address AI-specific scenarios including model weight corruption, training data loss, feature store failures, and the restoration of complex ML pipeline states. In COMPEL, disaster recovery is part of the operational resilience assessment during Calibrate and connects to the business continuity planning within the Governance and Technology pillars.

Why It Matters

Understanding Disaster Recovery is essential for organizations pursuing responsible AI transformation. In the context of enterprise AI governance, this concept directly impacts how organizations design, deploy, and oversee AI systems particularly within the People pillar. Without a clear grasp of Disaster Recovery, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, Disaster Recovery provides the conceptual foundation needed to make informed decisions about AI strategy, risk management, and stakeholder engagement. As regulatory frameworks such as the EU AI Act and standards like ISO 42001 mature, proficiency in concepts like Disaster Recovery becomes not merely advantageous but operationally necessary for any organization deploying AI at scale.

COMPEL-Specific Usage

Organizational concepts are central to the People pillar of COMPEL. They are most relevant during the Calibrate stage (assessing organizational readiness and absorption capacity) and the Organize stage (designing the AI operating model, Center of Excellence, and role structures). COMPEL recognizes that technology adoption without organizational readiness leads to superficial implementation. The concept of Disaster Recovery is most directly applied during the Calibrate and Organize stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter Disaster Recovery in coursework aligned with the People pillar, and should be prepared to demonstrate applied understanding during assessment activities.

Related Standards & Frameworks

ISO/IEC 42001:2023 Clause 7 (Support)
NIST AI RMF GOVERN 1.1-1.7
EU AI Act Article 4 (AI Literacy)