AI for Australian finance teams, governance within the guardrails

Finance teams in Australian organisations are adopting AI for forecasting, reporting, reconciliation, expense management, budgeting, and analysis. The governance challenge is that finance teams handle confidential financial data, regulatory reporting data, and sometimes personal data, all of which require appropriate AI governance.

Where AI is being used in finance

Financial reporting and analysis. AI summarising management accounts, variance analysis, board reporting narratives. The risk: AI-generated financial commentary may contain hallucinated numbers or misleading trend analysis. Control: human review of all AI-generated financial content before distribution.

Forecasting. AI-driven revenue, cost, and cash flow forecasting using historical data and external signals. The risk: model drift as economic conditions change (models trained on 2023 data may not forecast well in 2026). Control: forecast accuracy monitoring and comparison against actuals.

Reconciliation and matching. AI matching transactions across systems, identifying discrepancies. Lower risk for matching logic but requires validation of the matching rules and exception handling.

Audit support. AI preparing audit workpapers, extracting data for auditors, responding to audit queries. The risk: AI-generated audit evidence must be accurate, providing incorrect data to auditors creates material misstatement risk.

Governance requirements for finance AI

Data classification. Finance data typically includes commercially sensitive (revenue, margin, strategy), regulatory reporting data (tax, prudential returns, continuous disclosure), and personal data (payroll, expense reports). AI tools must be classified against these data categories, with enterprise-tier tools for anything beyond public data.

Regulatory considerations. For ASX-listed companies, AI-generated continuous disclosure content must be verified by authorised officers. For APRA (Australian Prudential Regulation Authority)-regulated entities, AI used in prudential reporting must be validated. Tax reporting supported by AI must remain the responsibility of the CFO/tax director. ATO is monitoring AI use in tax compliance.

Approved tools. Finance teams should use only approved enterprise-tier AI tools with no-training commitments and DPAs. Consumer-tier tools (free ChatGPT, free Gemini) should not be used with financial data.

Primary sources: APRA · ASIC (Australian Securities and Investments Commission) · ATO

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