Governance Frameworks for Automated Enterprise Decision Systems

Abstract

In this article, the issue of governance is discussed because of the growing use of automated decision systems by enterprises when regulating and high-impact environments are involved. The conventional governance tends to lay emphasis on the outside compliance, although this strategy does not embed accountability and oversight into the system design. To close this gap, the article suggests a governance framework of automated decision systems within the enterprise, which focuses on internal controls, policy enforcement and audit preparedness, and operational oversight. The framework supports the inclusion of governance in the decision processes and introduces various mechanisms, including risk leveling, approval gateways, and evidence-generation in order to have transparent and responsible activities. Enterprises can use these controls in making the system design to ensure that they can effectively control the automated decision-making processes without losing the agility to grow. The article examines governance frameworks that can be applied to both early-stage and scaling platforms, which provide a realistic strategy of organisations that wish to scale automated decision systems in a safe manner. Finally, the framework presented also provides an excellent holistic solution to governance that not only increases the transparency and accountability of the system, but it also does not interfere with flexibility in operations. The study will serve the purpose of responsible automation by breaking down actionable details to develop governance into systems of enterprise decision-making.