AI governance

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.

StrategyPoliciesOperating practice

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. 01

    Discover

    Map the work, people, information, systems and current AI use.

  2. 02

    Prioritise

    Rank use cases by value, affected people, information risk and delivery readiness.

  3. 03

    Design

    Agree ownership, boundaries, review points, measures and operating guidance.

  4. 04

    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.

Local intelligence. Ready to build.

Start with the work you want to improve.

Talk through the workflow, desired result and people who need to own it.