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AI

AI in Accounting: Why Reports Slip-Up Matters for Your Small Business

November 14, 2025 By raadmin Leave a Comment

As your trusted accountant, I’ve been watching closely how artificial intelligence (AI) is increasingly used across business functions — including bookkeeping, payroll, tax-planning and financial reporting. AI offers tremendous promise: faster processing, smarter insights, reduced routine labour. But a recent high-profile mis-step by a Big 4 accounting firm shows exactly how things can go wrong — and why that matters for you, especially if you’re a small or medium business owner relying on accounting and payroll advice.

In July 2025, a Big 4 accounting firm published a report for a government department which reportedly incorporated generative-AI tools. The final version was found to contain fabricated references, mis-attributed court judgments and other factual errors — prompting Deloitte to issue a refund on part of its fee.
What’s significant is not just the mistakes themselves, but the system failures behind them — weak review, over-reliance on AI drafts, lack of provenance and human oversight.
For you as a small business owner, or someone managing payroll and accounts, this isn’t just consulting-world drama. It’s a reminder: when AI enters accounting, payroll or compliance workflows, it must be handled with discipline or it becomes a risk, not simply a productivity gain.

  1. What went wrong – and why you should care

For many small businesses, the core issues here translate into real-world risks:

  • The AI-generated elements introduced hallucinations (i.e., convincing but false content) — references and quotes that didn’t exist.
  • The review process apparently failed to catch those errors — meaning that the work reaching the client (in this case the government) was compromised.
  • Deloitte’s error undermines trust; in our sector (accounting, payroll) trust equals compliance, assurance and credibility. If your accounting tool or process uses AI in a weak way, you expose yourself to flawed advice, misclassification of payroll, incorrect tax treatment or audit issues.

In short: AI isn’t a magic bullet. Just using it doesn’t guarantee accuracy or reliability. Like we always say in accounting: checks, reviews, documented rationale still matter.

  1. Six AI-risks every SME in accounting and payroll should heed

While your business might not be drafting government-reports, here are risks that do apply in the SME context:

  1. Hallucinated outputs – AI might suggest incorrect tax rulings, mis-code payroll categories, invent vendor names or dates.
  2. Data privacy & confidentiality – When staff paste sensitive payroll, tax or client-data into generic chatbots, there’s risk of leakage or misuse.
  3. Compliance drift – The law, regulation (ATO, Fair Work, Superannuation, Payroll Tax) change regularly. If AI isn’t aligned to the correct Australian rules, you might act on outdated or incorrect advice.
  4. Opaque AI vendor behaviour – Some software may leverage “AI assistance” without telling you how much, or what validation occurs.
  5. Over-automation without human oversight – If you let AI generate payroll changes, journals, reconciliations without a human review step, small errors become big issues.
  6. Accountability gaps – If an AI-tool produces guidance but no one takes ownership, then when something goes wrong, who is accountable? This is especially important for SMEs with lean teams.

These are the kind of failures exposed in this case — and we should use this as a wake-up call for our own workflows.

  1. A practical AI governance checklist for your accounting & payroll

How can you use AI safely — and still gain benefit? As your accounting partner, here’s what I recommend we implement (or check) together:

  • Define approved tools & data-use policy: Use only tools that meet Australian privacy standards, avoid pasting TFNs, bank details, personal data into unvetted chatbots.
  • Human-in-the-loop review: Every AI-assisted output (e.g., payroll suggestion, cost-centre coding, financial forecast) must be reviewed by a qualified human (you or me).
  • Source-of-truth rule: Any advice or output from AI must be checked against legislation, ATO rulings, Fair Work awards, or professional judgement — AI doesn’t replace that.
  • Traceability / audit-trail: Keep records of what was generated by AI, prompts used, who reviewed, what changes were made. Good for compliance and future proofing.
  • Vendor due diligence: If your accounting or payroll software says “AI assisted”, check how the model was validated, how often it’s updated for Australian tax/award changes, what error-rate exists.
  • Training & awareness for your team: Staff who use AI tools need to know the risks — that the tool may be wrong, that they must apply professional judgement.
  • Start small, monitor results: Use AI for low-risk tasks (first draft letters, supplier-coding suggestions) before trusting it with payroll changes or tax advice.

When these guardrails are in place, AI becomes a booster for your accounting and payroll efficiency — not a liability.

  1. Where AI does work well in SME finance

It’s not all risk — there are practical win-wins for small business:

  • Invoice-processing-tool that suggests accounting codes (human reviews afterwards).
  • Spend-analysis dashboards that flag anomalies (you still decide on action).
  • Drafting standard letters or memos (you still personalise and check).
  • Payroll-software that highlights unusual payroll entries (you still approve).

In these cases you get improved efficiency and better oversight — but the key is controlled use, not delegate-and-forget.

  1. Book a Consultation: Stay Ahead of AI Risks

If you’re unsure how AI might impact your accounting or payroll, let’s talk. The Deloitte case shows what happens when AI goes unchecked — and small businesses can’t afford those mistakes.

Book a quick consultation with us to:

  • Understand the real risks of AI in your finance systems
  • Learn how to protect your data, compliance, and payroll accuracy
  • Get practical steps to use AI safely and confidently

AI should work for your business, not against it.
Book your consultation today and let’s make sure your accounting and payroll stay secure and future-ready.

Conclusion
This case is more than just a headline — it’s a reminder that in accounting and payroll, precision, accountability and trust matter. AI can absolutely be part of your business toolkit, but only when used with professional rigour. Let’s ensure your finance processes are efficient, modern and safe.

 

Filed Under: Uncategorised Tagged With: accounting, AI, Reports, software

Artificial Intelligence – The Future of Finance

May 17, 2018 By raadmin

Artificial Intelligence – The Future of Finance

If someone said the letters AI to you 20 years ago, you would think they were insane. The prospect of artificial intelligence never seemed real but since the technology era really took off, AI is a reality, not just a dream. Each and every day we are subject to artificial intelligence, from auto-correct on phones and computers to Siri and Google assistant on your smartphones.

The corporate giants are investing heavily in AI because they know it’s not the future anymore, it’s the present. AI provides so many possibilities that us mere mortals never thought possible, that’s why our absolute favorite corporation – Xero are investing heavily in this transformative technology. Unfortunately, as with all technology advancements, there are misunderstandings and massive concerns. Does Skynet ring a bell, anyone?

The Difference Between AI and Machine Learning

AI concept creator John McCarthy explains AI as: “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.” This definition moves away from the concept of ‘thinking machines’, as we’ve seen in the Blockbuster  ‘Terminator’. The definition of AI varies based on the goals corporations are trying to achieve.

Machine learning is a data analysis technique that teaches computers to learn from experience. Machine learning uses both supervised and unsupervised learning to predict future outputs and find patterns or structures within input data. Machines use learning algorithms to ‘learn’ information directly from data without relying on predetermined equations as models.

Google Assistant

Tech Mogul Google has always been the forerunner with technology, especially with the release of the small but powerful Google home. Google home utilises the intelligent and responsive google assistant that you can find on any 2016+ Android or Google smartphone. This tiny inexpensive gadget sits anywhere in your house or office and provides you with a whole myriad of features, including but not limited to: playing music, sending directions, providing weather and traffic updates.

Appointment Setter

Even though Google is absolutely obliterating the AI market with Google assistant and Google home, they are furthering this development even more. Enter stage right, the Google Duplex. What is Google duplex? Another step in the direction of advanced AI. Google Duplex is an appointment setter, not an online one mind you, but Google Duplex actually calls the restaurant or hairdresser that you want to book at.




The Backlash

Unfortunately, this new technological advancement has prompted concerns about the ‘fate of the human race.’ In a nutshell, people are worried that we are playing with fire and are about to get burnt. Some claim Duplex is not only strange but completely unethical whilst others are applauding Google for this massive feat. I don’t want to imagine how many man-hours went into accurate speech recognition. Those against the innovative technology said it was immoral for the robot not to identify itself prior to booking the appointment. Google has since given in to these demands and will avoid the assistant ‘deceiving’ humans when setting appointments by identifying itself as a robot to the recipient.

Will AI Affect the Way I Work?

Because of the second payments directive PSD2, significant changes are coming to the accounting industry (significantly good that is). Finally, the big banks won’t be allowed to hold onto user data, this vital information can now be shared (with user permission) to third parties. What does this mean exactly? Management accountants and business advisors will be able to utilise businesses’ banking and account records to accurately predict data and turn towards intelligent cashflow.

 

Filed Under: Small Business, Technology Tagged With: AI, finance, google, ML, technology

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