How can AI agents comply with Treasury policies?

This is a narrow answer based on the available public sources. The Queensland Audit Office examined Queensland Government policy and work involving the Queensland Revenue Office within Queensland Treasury, while the OAIC page identifies privacy guidance for organisations and government agencies using commercially available AI products.

What governance controls does the audit identify?

Queensland’s September 2024 AI governance policy is described by the Queensland Audit Office as ensuring entities establish governance arrangements and assess ethical risks for each AI system they use. For an agent, the source-backed approach is to identify the particular system, place it in governance arrangements and assess its ethical risks individually, rather than treating all tools as one system.

The Queensland Audit Office report on managing ethical risks of artificial intelligence examined whether the Queensland public sector had policies and guidelines to manage ethical risks effectively. It also assessed work by the Department of Transport and Main Roads with the Queensland Revenue Office within Queensland Treasury.

The Queensland Audit Office states, "In September 2024, the Queensland Government introduced its AI governance policy to ensure entities establish governance arrangements and assess ethical risks for each AI system they use." This statement identifies governance and system-by-system ethical assessment as the policy controls described in the audit summary.

In Report 2: 2025–26, the Queensland Audit Office assessed how Transport and Main Roads, collaborating with the Queensland Revenue Office, managed ethical risks and controls for 2 AI systems. The audit report was tabled on 24 September 2025, placing those findings in a stated reporting period and publication date.

How does privacy guidance apply to commercial AI products?

Privacy consideration belongs alongside an agent’s use of a commercially available product because the OAIC publishes guidance explicitly for organisations and government agencies on privacy and such products. OAIC’s privacy guidance navigation also lists a Privacy Code checklist and a Privacy Foundations self-assessment tool.

The OAIC guidance on privacy and the use of commercially available AI products sits within its privacy guidance for organisations and government agencies. For an accounting or bookkeeping practice, that makes privacy a distinct consideration when deciding whether an external product will be used with information from ordinary work.

The source does not set out which prompts, documents or records a practice may provide to a product. It is therefore more accurate to treat the OAIC page as relevant privacy guidance than to present an unsupported set of mandatory data-handling rules.

Why should assessment continue across the AI life cycle?

Review over an AI system’s life cycle is supported by the Queensland Audit Office recommendation that supporting material clarify when and how often entities should use FAIRA across that life cycle, including retrospective application. This supports revisiting an assessment when a practice changes an agent’s task, inputs or deployment context.

The audit summary says the policy had been in place for 12 months when the Queensland Audit Office examined it. In the same Report 2: 2025–26, the Office made 2 recommendations to Transport and Main Roads and 4 recommendations to CDSB, covering governance, risk assessment, oversight, capability and policy improvement.

The recommendations described in the report provide a useful set of themes for understanding the audit:

• Transport and Main Roads received recommendations to strengthen governance arrangements and risk-assessment processes.
• Those recommendations also concerned oversight of AI systems and staff capability to use them responsibly.
• CDSB received recommendations on improving the governance policy, monitoring whole-of-government risks and use, and improving assessment tools.
• The report refers to better monitoring of QChat and risk-based advice for higher-risk systems.

What can a practice record from these policy themes?

The audit supplies a useful record of governance and risk-assessment themes, rather than a complete Treasury compliance manual for private practices. Its findings identify system-specific ethical assessment, governance arrangements and oversight as relevant themes, while the OAIC page identifies privacy guidance for commercially available AI products.

A practice can use those themes to distinguish one agent from another in its own records. An internal drafting tool, a document-classification workflow and a client-facing response tool are separate uses; the QAO source supports considering ethical risk for each system rather than assuming a single assessment describes every use.

The report also says CDSB should improve FAIRA and supporting material by clarifying when and how often it should be used, including retrospective application. That detail supports a record that can be revisited when the use of a tool changes, without claiming that the Queensland public-sector framework creates a private-practice legal obligation.

For practices documenting governance, DeskMate agents are read-only against practice systems; administrators set permissions at deployment, while each person can pause their own agent. Its security controls include Australian hosting and content that is never used to train a model.

On these sources, AI agents align with the relevant Treasury audit context by operating within governance arrangements, receiving ethical-risk assessment for each system, considering OAIC privacy guidance for commercially available products, and being revisited across their life cycle. The sources do not establish a broader Treasury-specific compliance regime for private accounting practices.