# AI governance built around how your organisation works

Define practical AI ownership, approved use, risk review, human oversight and monitoring for Australian and New Zealand organisations.

Canonical: https://aroai.com/solutions/ai-governance/

## Move from a policy document to daily practice

A useful governance system names the business owner, approved purposes, information boundaries, systems and model providers, risk review, staff responsibilities, escalation and how changes are monitored.

## What we can work through

- **Use-case inventory**: Record where AI is being evaluated, who owns each use and what it can affect.
- **Approved-use and data rules**: Create clear staff guidance for public, business, confidential and personal information.
- **Human review and escalation**: Decide when a person must verify an output, approve an action or stop a workflow.
- **Evaluation and monitoring**: Select representative tests, error handling, feedback routes and owners for periodic review.

## A practical engagement

1. **Discover** Map the work, people, information, systems and current AI use.
2. **Prioritise** Rank use cases by value, affected people, information risk and delivery readiness.
3. **Design** Agree ownership, boundaries, review points, measures and operating guidance.
4. **Implement and train** Put the agreed controls into the chosen workflow and help staff use them.

## What governance support means

Aroai can help design and implement internal practices. It is not legal advice, an audit, certification or a guarantee of compliance. Requirements depend on the organisation, jurisdiction and use case.