# vii. Governance, Controls & Oversight

Governance, controls, and oversight define how analytical and AI systems are managed, monitored, and held accountable. These frameworks ensure that models are used responsibly, aligned with organizational objectives, and subject to appropriate review and escalation.

#### **Accountability**

Clear assignment of responsibility for decisions, outcomes, and system behavior.

#### **Approval Workflow**

A defined process requiring review and authorization before models or outputs are deployed or used.

#### **Control Framework**

Policies and procedures designed to manage risk and ensure proper system use.

#### **Escalation Protocol**

Defined steps for addressing issues, exceptions, or failures identified in analytical systems.

#### **Governance Model**

The structure defining roles, responsibilities, and decision rights for system oversight.

#### **Human Oversight**

Ongoing review and supervision of automated or analytical outputs by qualified individuals.

#### **Model Lifecycle Management**

Processes governing model development, deployment, monitoring, and retirement.

#### **Monitoring Process**

Ongoing observation of system performance, accuracy, and compliance.

#### **Policy Enforcement**

Mechanisms ensuring that governance rules and usage constraints are followed.


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