# Governance Implementation Playbook

## Phase 1: Stabilize

Objective: move from invisible AI use to visible AI use.

Tasks:

- identify current tools and use cases
- assign owner
- issue interim rules
- prohibit highest-risk data submission
- define baseline output review

## Phase 2: Structure

Objective: create first repeatable control model.

Tasks:

- publish acceptable use policy
- create tool approval process
- launch training
- define escalation path
- document role responsibilities

## Phase 3: Operationalize

Objective: embed governance into workflows.

Tasks:

- integrate review checkpoints
- track tool usage
- monitor exceptions
- review incidents
- refresh training

## Phase 4: Mature

Objective: improve governance as dependence and capability grow.

Tasks:

- review policy quarterly
- reassess tools
- refine data restrictions
- strengthen auditability
- address agentic workflows and automation boundaries