Step 1 — Input & Request Initiation

A request enters the system (e.g., evaluating a candidate, generating a recommendation, or making a prediction).
The AI model prepares to process:

• input data
• task or action request

Step 2 — Tier 4: Scope Gate (Preflight Control)

Before the AI executes, QGI checks:

• Is this action allowed in the organization?
• Is the data permitted?

If the request violates scope (e.g., uses restricted data or performs an unauthorized action), it is blocked immediately.

Step 3 — Tier 1: Policy Compiler

Load the governance configuration for a given context, including risk tolerance, thresholds, and control requirements. In other words, configure the required governance profile. This includes at least the following:

• Fairness strictness
• Privacy sensitivity
• Transparency requirements
• System stability tolerance

Tier 1 defines the governance profile—how strict the system should be and what limits must be enforced.

Step 4 — Tier 2: Evaluation Engine

QGI analyzes the AI output in real time by measuring it across six governance areas:

• Safety
• Autonomy
• Privacy (boundary)
• Fairness
• Transparency
• System stability

Each area is converted into a measurable score and compared against predefined thresholds.

Step 5 — Tier 3: Regulatory Mapping & Execution

Once a final action is selected, QGI translates it into required obligations:

• audit logs
• human review (if required)
• user disclosure
• compliance actions aligned with regulations

Step 6 — Meta-Alignment (When Needed)

During Tier 2 execution, if no acceptable decision exists, QGI activates its Meta-Alignment process:

• evaluates alternative actions (e.g., approve, reject, request more data, escalate)
• selects the least harmful and most balanced option

This ensures decisions remain controlled even in complex or conflicting situations.