MAGRS Readiness Standard

The Marshall AI Governance Readiness Standard (MAGRS) defines the minimum conditions required for an organization to operate artificial intelligence systems under responsible control.

The Marshall Principle

Artificial intelligence may assist human decision-making, but responsibility always remains with humans.

This principle establishes that responsibility cannot be delegated to artificial systems and must remain explicitly assigned to human operators.

Definition of Readiness

An organization is considered AI Governance Ready when it has established clear visibility into AI activity, defined operational boundaries for AI use, and assigned human accountability for all AI-assisted outcomes.

Core Requirements

• Visibility: The organization can identify where and how AI systems are being used, including inputs, outputs, and decision influence.
• Boundaries: The organization has defined where AI systems are permitted to operate and where they are restricted.
• Accountability: A specific individual or role is responsible for the outcomes of each AI-assisted process.

Operational Test

An organization must be able to answer the following questions:

• What is the AI system doing?
• Where is it allowed to operate?
• Who is responsible for the outcome?

If these questions cannot be answered clearly, the organization does not meet MAGRS readiness.

Participation Discipline

Organizations maintaining MAGRS readiness perform periodic governance reviews, including quarterly evaluation of AI system usage, boundary adherence, and accountability assignments.

Purpose of the Framework

MAGRS is designed to provide a practical, enforceable approach to AI governance, particularly for organizations without dedicated governance infrastructure.

It shifts AI adoption from informal usage to controlled, accountable operation.