AI Policy Development for Australian Businesses
Create clear AI policies for employee use, generative AI tools, data handling, review requirements, and escalation.
An AI policy tells staff which tools they may use, what data is prohibited, when outputs need review, and who to ask when a use case is unclear.
Practical controls before more AI rollout.
Policy should remove ambiguity
Staff often use AI before a business has made a formal decision. A useful policy gives them simple rules that protect client data, confidential information, and decision quality.
What the policy should cover
The policy should be short enough to use, but specific enough to prevent common mistakes.
- Approved AI tools and prohibited tools
- Data that must not be entered into AI systems
- Human review requirements
- Use of AI outputs in client, employee, or financial work
- Vendor and procurement checks
- Incident and exception reporting
Make it role-aware
A finance team, legal team, sales team, and product team may need different examples. The policy should include role-relevant guidance without becoming hard to maintain.
Connect policy to governance
A policy is only useful if it links to ownership, approval, training, monitoring, and review. Otherwise it becomes a document staff forget.
What you walk away with.
- AI acceptable-use policy draft
- Generative AI staff guidance
- Prohibited data and use-case rules
- Approval and exception workflow
- Incident reporting guidance
- Leadership review summary
Mapped to recognised guidance.
- AI.gov.au essential AI practices
- NIST AI RMF
- ISO/IEC 42001 policy and operation concepts
Common questions.
Can we use a template?
Templates help, but the final policy should reflect your tools, data, clients, risk appetite, and approval process.
Should the policy mention specific tools?
Yes, where useful. Staff need to know which tools are approved and which tools need further review.
Does this replace security or privacy policies?
No. It should connect with those policies and explain the AI-specific rules staff need to follow.
How often should an AI policy be reviewed?
At least annually, and sooner when major tools, use cases, vendors, or legal obligations change.
Ready to make AI use visible and controlled?
Start with a short scoping conversation. We will confirm whether a formal assessment is the right next step.