> ## 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 Lifecycle

> The AI Governance Lifecycle defined by the AIGO Framework.

# AI Governance Lifecycle

The AIGO AI Governance Lifecycle describes how governance activities operate throughout the life of an AI system.

## Purpose

AI governance is not a one-time assessment. Governance activities continue as an AI system is designed, developed, deployed, operated, changed, monitored, and eventually retired.

The lifecycle provides a structured way to manage those activities continuously.

## Lifecycle perspective

The lifecycle connects governance activities such as:

* system registration
* classification
* risk assessment
* control implementation
* approval
* deployment
* monitoring
* assurance
* change management
* incident management
* improvement
* retirement

## Continuous governance

Lifecycle governance should be revisited when material changes occur.

Examples include:

* significant system changes
* changes in intended use
* changes in risk
* new incidents
* changes in applicable requirements
* material changes in operating conditions

## Relationship to other AIGO components

The lifecycle provides the operational flow through which the rest of the framework is applied.

It connects:

**governance domains → roles → risk → controls → evidence → assurance → improvement**

## Source

The canonical lifecycle document is maintained in:

`framework/05-lifecycle/AIGO-AI-Governance-Lifecycle-v0.1.md`

The GitHub repository is the authoritative source for the complete v0.1 lifecycle model.