AI System Registry

Regulatory

Detailed Explanation

An AI System Registry is an organizational catalog that documents all AI systems in use, under development, or being evaluated, recording each system's purpose, data inputs, risk classification, ownership, compliance status, deployment environment, and review history. Some regulations, including the EU AI Act, require organizations to maintain such registries and make certain information publicly available for high-risk systems. Beyond compliance, the registry serves as a governance foundation that prevents shadow AI proliferation, enables portfolio-level risk assessment, and supports audit and assurance activities. In COMPEL, the AI System Registry is established during the Calibrate stage as part of the technology landscape assessment and maintained as a living governance artifact throughout the transformation lifecycle.

Why It Matters

Understanding AI System Registry 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 Governance pillar. Without a clear grasp of AI System Registry, organizations risk creating governance gaps that undermine trust, compliance, and long-term value realization. For AI leaders and practitioners, AI System Registry 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 AI System Registry becomes not merely advantageous but operationally necessary for any organization deploying AI at scale.

COMPEL-Specific Usage

Regulatory concepts map directly to the Governance pillar of COMPEL. The Model stage designs compliance frameworks, the Evaluate stage conducts regulatory audits, and the Learn stage incorporates regulatory updates into the next cycle. COMPEL maintains alignment tables mapping its stages to ISO 42001, NIST AI RMF, EU AI Act, and IEEE 7000. The concept of AI System Registry is most directly applied during the Model, Evaluate, and Learn stages of the COMPEL operating cycle. Practitioners preparing for COMPEL certification will encounter AI System Registry in coursework aligned with the Governance pillar, and should be prepared to demonstrate applied understanding during assessment activities.

Related Standards & Frameworks

ISO/IEC 42001:2023
NIST AI RMF 1.0
EU AI Act 2024/1689
IEEE 7000-2021