> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aigoframework.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Governance Approval

> Approval and decision-making within the AIGO Framework.

# AI Governance Approval

Approval provides a formal governance decision point for AI systems and significant lifecycle decisions.

## Purpose

Approval establishes that the appropriate governance stakeholders have reviewed the available information and authorized a defined action, subject to any conditions or limitations.

Approval may consider:

* system classification
* risk assessment
* implemented controls
* residual risk
* supporting evidence
* applicable requirements
* assurance findings
* outstanding actions
* exceptions
* monitoring requirements

## Decision traceability

A governance approval should be traceable to the relevant:

* AI system
* risks
* controls
* assessments
* evidence
* assurance activities
* accountable decision authority

This allows an organization to reconstruct the basis for a governance decision and determine what conditions were attached to it.

## Conditional approval

An organization may use conditional approval when a system can proceed subject to defined restrictions, remediation actions, monitoring requirements, or review conditions.

Conditions should be sufficiently specific to support subsequent monitoring and review.

## Approval and evaluation

Approval is one component of the broader AIGO governance model.

Where governance evaluation is performed, approval information can form part of the evidence or governance context used to determine whether defined conditions have been satisfied.

The evaluation architecture separates:

**governance records → evaluation rules → evaluation results**

This separation allows approval records to remain governance records while evaluation rules define the conditions that are checked.

## Machine-readable approval records

Approval decisions can be represented using the AIGO Approval Schema.

Canonical schema:

`schemas/05-approval/05-AIGO-Approval-Schema-v0.1.json`

Schema documentation:

`schemas/05-approval/05-AIGO-Approval-Schema-Documentation-v0.1.md`

## Source

The canonical procedure is maintained in:

`guidance/02-procedures/06-AIGO-AI-Approval-Procedure-v0.1.md`

The implementation template is maintained in:

`guidance/03-templates/07-AIGO-AI-Approval-Template-v0.1.md`