How to Prepare for AI Governance and Procurement Questions in Australia

As AI scrutiny increases, buyers are asking more structured questions about governance, privacy, accountability, and risk. That is especially true in government-adjacent and regulated settings, but it is increasingly spreading beyond them.¹ ² ³

For suppliers, one of the biggest mistakes is assuming product capability will carry the conversation. In practice, buyers often want to understand not only what the product does, but how the use case is governed, what risks have been assessed, and whether the supplier can support a defensible review process.¹ ² ⁴

Key takeaways

• Buyers are increasingly asking AI questions in governance terms, not just technical terms.¹ ² ³
• Australian government AI policy and the AI impact assessment framework point toward stronger expectations around accountability, risk-based review, privacy, and evidence.¹ ² ⁴
• OAIC guidance means suppliers should be ready to explain privacy implications where AI products involve personal information.⁵ ⁶
• Mature suppliers should prepare clear material on use cases, controls, accountability, privacy, and security before procurement questions arrive.¹ ² ⁵

Why procurement questions are becoming more structured

The December 2025 update to the Australian Government’s Policy for the responsible use of AI in government strengthened the government’s approach to AI through new measures on governance. Digital.gov.au says agencies are expected to develop a strategic approach to AI adoption, operationalise responsible AI use, ensure designated accountability for AI use cases, and undertake risk-based actions at the use-case level.¹

That matters because public sector policy often shapes commercial expectations more broadly. Where buyers are operating in regulated, high-assurance, or government-adjacent environments, AI offerings are increasingly judged on governance readiness as well as capability.¹ ²

What buyers are really trying to understand

When buyers ask governance and procurement questions about AI, they are usually trying to understand a small set of underlying issues:

• What is the AI use case?
• What information does it use or affect?
• Who is accountable for it?
• What controls and review processes exist?
• How are privacy and security addressed?
• What happens if the risk profile is higher than expected?¹ ² ⁴ ⁵

In other words, they are testing whether the supplier can support a structured governance conversation rather than only a product demonstration.

Why the DTA AI impact assessment tool matters to suppliers

The DTA’s AI impact assessment tool is designed for Australian Government teams working on an AI use case. It helps them identify, assess, and manage impacts and risks against Australia’s AI Ethics Principles.² ⁴

The supporting guidance says the tool is intended to complement and strengthen existing frameworks, legislation, and practices rather than duplicate them.⁴

Even where the tool does not formally apply to a private buyer, it still matters commercially. It shows the kinds of questions a mature buyer may increasingly want answered and the kinds of supporting evidence a supplier may need to provide.² ⁴

Privacy is often a front-line procurement issue

The OAIC’s guidance on commercially available AI products makes clear that privacy obligations continue to apply when organisations use AI products involving personal information. The OAIC also says, as a matter of best practice, that organisations should not enter personal information, especially sensitive information, into publicly available generative AI tools because of the significant and complex privacy risks involved.⁵ ⁶

For suppliers, that means privacy cannot be treated as a side note. If the AI offering will touch personal information, buyers are likely to want a clear explanation of:

• what kinds of information are involved
• how the product handles that information
• what restrictions or safeguards apply
• what role the customer plays in configuration, oversight, and acceptable use.⁵ ⁶ ⁷

A practical readiness table

Questions suppliers should prepare for

Suppliers should be ready to answer questions such as:

1. What exactly is the AI use case or category of use case?
2. Who is accountable for oversight and governance?¹
3. What risks have been identified and how are they handled?² ⁴
4. What privacy issues could arise if the customer uses personal information?⁵ ⁶
5. What security considerations are relevant?⁸
6. Can the product support stronger review, approval, or documentation where needed?¹ ² ⁴

Why capability alone is not enough

One of the most common supplier mistakes is assuming that a technically impressive product will answer governance concerns on its own.

In practice, buyers often become more confident when suppliers can explain:

• the intended use case clearly
• the operating model around the use case
• where accountability sits
• what the privacy and security assumptions are
• what evidence or reporting the product can support.

That kind of clarity reduces uncertainty. It also makes internal buyer conversations easier across legal, privacy, security, procurement, and business stakeholders.

What strong procurement preparation looks like

A mature supplier response usually includes:

• a clear use case description
• privacy and security position statements
• explanation of governance roles and approvals
• supporting material on risk handling and escalation
• honest explanation of where customer decisions and configuration remain important.¹ ² ⁵

This is not only about passing procurement review. It is also about making the product easier to trust and easier to buy.

Conclusion

AI governance and procurement questions in Australia are becoming more structured because buyers are under growing pressure to understand not just what an AI product can do, but how its risks are governed.¹ ² ⁵

Suppliers that prepare well will be able to support a clearer conversation about use case, accountability, privacy, security, and documentation. That reduces friction, shortens review cycles, and strengthens buyer confidence.¹ ² ⁴ ⁵

References

1. Digital Transformation Agency, Policy for the responsible use of AI in government.
2. Digital Transformation Agency, Artificial intelligence impact assessment tool.
3. Digital Transformation Agency, Artificial intelligence overview and standards/resources.
4. Digital Transformation Agency, Guidance for the artificial intelligence impact assessment tool.
5. OAIC, Guidance on privacy and the use of commercially available AI products.
6. OAIC, New AI guidance makes privacy compliance easier for business.
7. OAIC, Checklist: Privacy considerations when selecting a commercially available AI product.
8. Digital Transformation Agency, Privacy protection and security guidance.