Artificial intelligence is changing the way Australian businesses manage information, analyse performance and make financial decisions.
From automated reporting and forecasting to pattern recognition and scenario analysis, AI can process large amounts of information faster than traditional manual processes.
But faster does not always mean better.
AI can assist with analysis. Experienced CFO judgement remains responsible for assumptions, interpretation, governance, confidentiality, risk and the commercial decisions that follow.
For Australian businesses, this distinction is becoming increasingly important. Technology can make financial information more accessible and help finance teams work more efficiently, but someone still needs to understand what the information means and decide what should happen next.
The strongest approach is therefore not AI instead of financial expertise.
It is AI-Assisted, CFO-Led finance.
Where AI Can Help Finance Teams
AI can be extremely useful when it is applied to the right financial tasks.
Modern finance systems can collect, organise and analyse information from multiple sources. This can reduce repetitive work and give finance teams more time to focus on questions that require judgement.
AI assisted finance tools can help with:
• Analysing large volumes of financial data
• Identifying unusual transactions or changes in performance
• Preparing initial management reports
• Comparing actual results with budgets
• Identifying trends in revenue and expenses
• Supporting cash flow forecasting
• Creating financial scenarios
• Monitoring selected business KPIs
• Automating repetitive reporting processes
• Providing faster access to financial information
For a growing Australian business, these capabilities can improve efficiency and make useful financial information available sooner.
However, the output still needs to be reviewed by someone who understands the business.
AI can identify a change in the numbers. It cannot always explain the commercial reason behind that change.
AI Can Analyse the Numbers, But Context Matters
Imagine a business where sales have fallen by 15 percent.
An AI system may quickly identify the decline and compare it with previous periods. It may even suggest possible reasons based on the available data.
But the numbers alone may not tell the full story.
Perhaps the business deliberately stopped selling a low margin product.
Perhaps a major customer delayed an order.
Perhaps management has entered a new market and temporarily increased marketing expenditure.
Perhaps the business has changed its customer mix.
These situations can produce similar numbers but require very different decisions.
A CFO looks beyond the result.
They ask why the number changed, whether the change is temporary or permanent, what assumptions are behind the forecast and what the result means for the wider business.
This distinction becomes particularly important when preparing cash flow forecasts and financial scenarios. A forecast is only as useful as the assumptions behind it.
What the CFO Remains Responsible For
The role of the CFO does not disappear when AI becomes part of the finance function.
In many respects, the need for experienced judgement becomes more important because financial teams have more information to assess and more potential outputs to challenge.
Reliability of Source Data
AI can process information quickly, but it cannot automatically make poor source data reliable.
If financial information is incomplete, inconsistent, outdated or incorrectly classified, an AI generated analysis can produce a misleading result.
The CFO needs to understand where the information came from, whether it is complete and whether it is suitable for the decision being considered.
Good financial decisions begin with reliable information.
Commercial Reasonableness of Assumptions
Every forecast depends on assumptions.
AI can analyse historical information and generate possible scenarios, but someone still needs to decide whether those assumptions make commercial sense.
A CFO may ask:
• Is the expected sales growth realistic?
• Are current customer trends sustainable?
• Will costs increase over the next 12 months?
• How much working capital will the business require?
• Can the business afford a new investment?
• What happens if revenue is lower than expected?
• Is the business prepared for changing market conditions?
These are not simply mathematical questions.
They involve experience, industry knowledge and an understanding of the company’s objectives.
Interpretation of Outputs in Business Context
An AI system may identify that gross margin has declined.
The CFO needs to understand why.
Is the decline caused by higher supplier costs? A change in product mix? Discounting? Lower labour recovery? A new customer contract? Increased freight?
The same financial result can lead to completely different actions depending on the underlying cause.
The CFO connects the financial output with the operational and commercial reality of the business.
Risks That May Not Be Visible in the Numbers
Financial reports do not always capture every risk facing a business.
A major customer relationship may be weakening.
A key employee may be considering leaving.
A supplier may be experiencing financial difficulty.
A new competitor may be changing market pricing.
A planned investment may depend on assumptions that have not yet been tested.
AI can support analysis of available information, but experienced CFO judgement is important when considering risks that may not yet appear clearly in the financial data.
Confidentiality and Information Governance
Finance teams work with highly sensitive information.
This may include:
• Revenue and profitability data
• Employee information
• Customer information
• Pricing strategies
• Budgets and forecasts
• Contracts
• Acquisition plans
• Business plans
Businesses therefore need to understand how AI tools handle information before confidential data is entered into them.
In guidance concerning the use of AI in audit and assurance work, the Australian Auditing and Assurance Standards Board has highlighted cybersecurity and privacy considerations, including the protection of confidential information and the risk that AI-generated summaries may omit important details or context.
The issue is not simply whether a tool is useful.
It is whether the technology is being used within appropriate information governance and security controls.
Stakeholder Communication
Financial information often needs to be communicated to directors, investors, lenders, management teams and other stakeholders.
AI may help prepare or organise information, but effective communication requires an understanding of what matters to the audience.
A CFO can explain:
• What has changed
• Why it has changed
• Whether the change matters
• What risks should be considered
• What management should do next
This turns financial information into useful business communication rather than simply another report.
Accountable Human Responsibility
Perhaps the most important distinction is accountability.
AI can suggest that reducing costs may improve profitability.
But should the business reduce staff?
Should it delay an investment?
Should it increase prices?
Should it accept a lower margin to enter a new market?
Should it change its supplier?
These decisions have consequences beyond the numbers.
A CFO can assess the financial position alongside business objectives, customer relationships, operational requirements, people, risk and long term strategy.
The technology can support the analysis.
The human decision maker remains accountable for the recommendation and the decision that follows.
What KPMG’s 2026 Research Tells Us
The increasing use of AI across finance is not simply a future possibility.
KPMG’s 2026 Global AI in Finance research found that more than three quarters of surveyed organisations are leveraging AI in financial planning, reporting and commercial analysis. However, only 23 percent reported that AI was exceeding expectations.
The research is important, but its context matters.
The survey covered 1,013 senior finance leaders across 20 countries and 13 sectors, with participating organisations reporting annual revenue of at least US$250 million. It should therefore not be interpreted as an Australian SME statistic.
KPMG’s findings point to an important lesson. AI adoption alone does not guarantee better outcomes. Governance, measurement, trusted data and the ability of people to act on AI generated insights remain important.
For smaller Australian businesses, the lesson is similar even though their circumstances are different.
The question should not simply be:
“Are we using AI?”
A better question is:
“Are we using AI in a way that improves the quality of our financial decisions?”
Governance Cannot Simply Be Automated
AI adoption also creates governance questions.
ASIC’s REP 798, Beware the gap: Governance arrangements in the face of AI innovation, examined 23 Australian financial services and credit licensees and found potential for governance to lag AI adoption. ASIC also reported that AI use among those licensees had primarily focused on supporting human decisions and improving efficiency at the time of its review.
These findings relate specifically to regulated financial services and credit licensees. They should not be presented as a survey of Australian SMEs.
However, they illustrate a broader principle that is relevant when businesses introduce AI into important processes:
Governance needs to keep pace with technology.
For a business using AI in finance, this means thinking about who can access the technology, what information can be entered, how outputs are reviewed and who is responsible for decisions based on those outputs.
Technology should strengthen financial control rather than create another source of unmanaged risk.
AI and Financial Forecasting
Forecasting is an area where AI can provide significant assistance.
Historical data can be analysed to identify patterns in revenue, costs, customer behaviour and cash flow. Different scenarios can also be modelled to help management understand potential outcomes.
For example, a business could examine:
• What happens if sales increase by 10 percent?
• What happens if sales fall by 10 percent?
• What happens if supplier costs rise?
• What happens if customers take longer to pay?
• What happens if wages increase?
• What happens if the business makes a major investment?
AI can help produce and compare these scenarios.
But the CFO still needs to challenge the assumptions.
If a forecast assumes 20 percent sales growth, the important question is not simply whether AI can calculate the resulting profit.
The question is whether the business has the customers, capacity, pricing, people and market opportunity required to achieve that growth.
That is where human judgement creates value.
Technology Should Support Better Financial Decisions
The purpose of AI in finance should not be to introduce technology for its own sake.
The purpose should be to improve the quality, speed and usefulness of financial information.
For example, automation can reduce repetitive reporting work.
AI can help identify unusual movements.
Forecasting tools can help compare possible outcomes.
Data analysis can reveal trends that might otherwise take significant time to identify.
But these capabilities become more valuable when an experienced CFO uses them to ask better questions.
A CFO can challenge the output, investigate the underlying assumptions, assess the risks and translate the findings into practical business decisions.
This is particularly valuable for Australian SMEs that may not have a large internal finance team but still need senior financial thinking as the business grows.
The Role of CFO Support in an AI Enabled Finance Function
Businesses do not necessarily need to choose between technology and human expertise.
The better approach is to combine both.
CFO support can help a business establish better financial reporting, improve forecasting, understand performance and use technology more effectively while keeping human judgement at the centre of important decisions.
For some businesses, this may involve Virtual CFO support. For others, Fractional CFO support may provide the right level of senior financial expertise.
The specific technology should follow the business need, rather than the other way around.
PLANALYTICA™ may also be relevant where structured financial planning and analysis are required, particularly when management needs to compare scenarios and understand the potential financial consequences of different decisions.
The objective is simple:
Use technology to produce better information, then apply experienced judgement to decide what that information means.
The Future of Finance Is AI-Assisted, CFO-Led
AI will continue to change the finance function.
Businesses will increasingly use automation, predictive analysis and intelligent reporting to reduce manual work and improve access to information.
But financial leadership will remain human.
A successful finance function needs someone who can challenge assumptions, understand risk, interpret results, communicate with stakeholders and connect financial performance with commercial strategy.
AI can assist with analysis.
It cannot take responsibility for the assumptions, interpretation, governance, confidentiality, risk assessment and commercial decisions that follow.
For Australian businesses, the opportunity is therefore not to replace financial expertise with AI.
It is to use AI to make financial expertise more effective.
That is the real value of AI-Assisted, CFO-Led finance.
Frequently Asked Questions
Can AI replace the role of a CFO?
AI can increasingly automate elements of financial analysis, reporting and forecasting. However, CFO-level work also requires commercial judgement, accountability, governance, stakeholder communication and interpretation of incomplete or uncertain information. For these responsibilities, experienced human oversight remains essential.
How can AI help with financial forecasting?
AI can analyse historical financial information, identify patterns and help create different forecasting scenarios. However, the assumptions behind a forecast still need to be reviewed for commercial reasonableness.
Is AI safe for confidential financial information?
It depends on the specific technology, configuration, security controls and information being shared. Businesses should understand how an AI tool handles information and establish appropriate controls before using it with confidential financial data.
Why do businesses still need Virtual CFO support?
A Virtual CFO can provide senior financial expertise without requiring a business to employ a full time CFO. This can be useful for growing businesses that need support with forecasting, reporting, financial performance and strategic decision making.
What is the role of a CFO when using AI?
The CFO remains responsible for interpreting financial information, challenging assumptions, assessing risks, considering governance and connecting financial analysis with commercial objectives.
Can AI improve KPI reporting?
Yes. AI and modern financial systems can help collect and analyse KPI information more efficiently. However, experienced financial leadership is still needed to determine which indicators matter and what changes in those indicators mean for the business.
Is AI assisted finance suitable for small businesses?
Yes. Small and growing businesses can use appropriate technology to improve efficiency and access to financial information. The value increases when those tools are combined with experienced financial judgement.
Final Thoughts
AI is becoming an important part of modern finance, but technology should remain a tool rather than the decision maker.
The strongest finance function combines reliable data, appropriate technology and experienced human judgement.
For Australian businesses, this means using AI to improve efficiency while relying on CFO expertise to understand assumptions, interpret results, manage risk, protect confidential information, strengthen governance and make commercially sound decisions.
AI can assist with analysis. Experienced CFO judgement remains responsible for what happens next.
That is where AI-Assisted, CFO-Led finance creates real value.
Ready to Bring Technology and Financial Expertise Together?
AI can make financial analysis faster, but experienced financial judgement remains essential for making confident business decisions.
If your Australian business needs support with forecasting, reporting, planning, cash flow or strategic financial decisions, myCFO.co can help you make better use of both your data and technology.
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