Australian finance teams already know business email compromise is expensive. The newer problem is that AI BEC attacks make old payment fraud tactics look more credible, more personal and harder to spot under time pressure.
The numbers justify the concern. The ACCC's National Anti-Scam Centre reported Australians lost $2.74 billion to scams in 2023, with payment redirection scams causing about $91.6 million in reported losses. The Australian Signals Directorate also received nearly 87,400 cybercrime reports in 2023 to 2024, roughly one every six minutes.
In this article:
- AI BEC attacks are a finance-control problem
- How AI changes business email compromise
- Deepfake payment fraud scenarios to watch
- Where AI payment fraud enters Xero workflows
- Controls that reduce AI BEC attack risk
- Related reading
- What to do next
AI BEC attacks are a finance-control problem
Business email compromise used to be framed as an email-security issue. A criminal compromised a mailbox, sent a fake invoice or impersonated an executive, then hoped someone in accounts payable would act before checking.
That framing is now too narrow. AI BEC attacks are not only about suspicious links or stolen passwords. They target the moment a finance team decides whether a supplier bank change, urgent invoice or payment approval can be trusted.
For Australian SMBs, that moment often happens inside a lean finance process. One person receives the supplier email. Another enters or approves a bill in Xero. A manager signs off because the supplier relationship looks familiar. A batch payment is then uploaded to the bank.
The fraud may not require malware. It may not require direct access to Xero. It only needs a convincing enough instruction to move money to the wrong account.
That is why finance leaders need to treat AI-enabled BEC as a controls problem. Email filtering and MFA matter, but they are not substitutes for supplier verification, approval separation and review evidence.
How AI changes business email compromise
Traditional BEC often had clues. The language felt awkward. The sender used a strange phrase. The urgency seemed theatrical. The invoice format was slightly wrong.
Generative AI removes many of those weak signals. Attackers can now write polished emails, match a supplier's tone and generate follow-up messages that sound consistent across a thread.
Personalised emails are easier to create. Public websites, LinkedIn profiles and supplier announcements give criminals enough context to write messages that mention real projects, roles and timing.
Bad grammar is no longer a reliable warning sign. Finance teams have long been told to look for spelling mistakes. AI phishing can produce clean, professional Australian English that looks like a normal supplier message.
Attackers can scale research. Instead of manually preparing one high-value target, criminals can use automation to prepare many tailored attempts across suppliers, bookkeepers and executives.
Voice and video can support the lie. Deepfake tools can imitate a person well enough to create pressure in a short call, especially when the request feels routine and the finance team is already expecting an approval.
This does not mean every suspicious email is a Hollywood-style deepfake. Most fraud still works because normal processes are rushed. AI simply makes the deception easier to produce and harder to dismiss.
The best response is not panic. It is to move trust away from the message itself and into a repeatable verification process.
Deepfake payment fraud scenarios to watch
Deepfake payment fraud is most dangerous when it supports a request that already fits the business context. Finance teams should look beyond dramatic fake video calls and focus on everyday payment workflows.
Supplier bank-detail change requests
A supplier emails to say their bank account has changed. The email refers to a real invoice, a real staff member and a real upcoming payment.
An AI-written message may look normal. If the team confirms the change by replying to the same email thread, the attacker controls the whole verification loop.
The safer approach is to call a trusted number already held in your supplier master file, not the number in the email. Document who called, who answered, what was confirmed and who approved the change.
Executive approval pressure
A CFO, director or practice owner appears to approve an urgent payment. The request might arrive by email, Teams, text or a short voice call.
The red flag is not only the technology. The red flag is a request that bypasses the normal approval path because it sounds senior, urgent or confidential.
Your process should make that impossible. Any payment above threshold should require the same evidence and second-person review, even when the apparent request comes from the CEO.
Fake supplier follow-up calls
A finance officer receives an email about a changed bank account, then a call from someone claiming to be the supplier's accounts team. The call feels reassuring because it confirms the same details.
If the caller used AI voice tools or simply scripted the call from public information, that confirmation is weak. The team still needs to call back through a known number from an independent record.
Compromised mailbox plus AI-written instructions
Some BEC attempts start from a genuinely compromised supplier mailbox. That makes the email domain look legitimate and may place the fraud inside an existing conversation.
AI then helps the attacker continue the thread convincingly. This is why visual inspection of email addresses is not enough. Payment details must be verified when risk changes, even if the email thread looks real.
Where AI payment fraud enters Xero workflows
Xero is often the operating system for Australian SMB finance teams. That makes it central to prevention, but it also means attackers try to influence what gets entered, approved and paid.
Supplier contact setup
A new supplier record should never be treated as low risk just because the first invoice is small. Fraudsters may establish a normal-looking supplier first, then increase payment value later.
Require ABN checks, authorised requester details and independent contact records before the supplier becomes payment-ready. If the supplier is created by an external bookkeeper, make sure the business owner or finance manager still approves payment details.
Bank-detail changes
Bank-detail changes are the highest-risk point in the workflow. A single changed account number can redirect multiple legitimate invoices.
For Xero-using teams, the control should be simple. No supplier bank detail change is accepted from email alone. Every change needs out-of-band verification, dual approval and audit evidence.
If your team needs a deeper process, start with our guide on how to verify supplier bank details in Australia.
Bill approvals
Bill approval confirms that the invoice looks valid, but it does not always confirm the payment destination. A bill can be approved while the supplier's bank details have quietly changed.
Finance managers should separate invoice approval from payment release. Before payment, review first-time payees, changed bank details, unusual amounts and invoices that arrive outside the supplier's normal pattern.
Batch payments
Batch payments create efficiency, but they can also hide risk. A fraudulent payment may sit among dozens of ordinary supplier payments.
Before releasing a batch, require a short exception review. Look for new suppliers, changed accounts, round-dollar amounts, urgent one-off payments and anything approved outside normal timing.
Reconciliation and investigation
Bank reconciliation usually happens after money has left. It can identify problems, but it cannot prevent an instant or same-day payment from reaching the wrong account.
Use reconciliation as a detection layer, not the main control. For suspicious activity, Xero history, notes and audit trail evidence can help reconstruct who changed what and when. Our Xero audit log guide explains how to use that evidence during a fraud review.
Controls that reduce AI BEC attack risk
The goal is not to detect every AI-written message by style. That is unrealistic. The goal is to make sure no single message, call or video can move money without independent verification.
1. Verify bank changes outside the original channel
Never verify a bank-detail change by replying to the same email, calling the number in the email signature or using a contact supplied in the request.
Use a trusted number from your supplier master file, contract, previous onboarding pack or independently verified website. Record the verification evidence before payment details are changed.
2. Apply dual approval to high-risk events
Dual approval should apply to new suppliers, bank-detail changes, high-value payments and urgent exceptions.
The second approver should review the evidence, not just click approve. For small teams, the second approver might be the owner, CFO, external accountant or another manager with payment authority.
3. Protect Xero access with MFA and least privilege
MFA reduces the risk of account takeover. Least-privilege access reduces what a compromised or misused account can change.
Review who can create suppliers, edit contact details, approve bills and access payment files. Remove old users, reduce unnecessary permissions and ensure external advisers have only the access they need.
4. Create an urgency override rule
AI BEC attacks often lean on urgency. A supplier says payroll will fail. A director says the deal will collapse. A caller says the account must be changed before today's run.
Your rule should be clear: urgency increases verification, not reduces it. If a request is urgent, unusual or confidential, it gets escalated and documented.
5. Review first-time and changed-account payments before release
Before each payment run, isolate payments to new suppliers and suppliers with recently changed bank details.
These items need a deliberate second look. Confirm the invoice, supplier, approval trail and bank-detail verification evidence before including them in a batch.
6. Train staff on process, not just red flags
Red-flag training is useful, but AI makes visual and language clues less dependable.
Train the team to follow a payment script. What information must be checked? Which requests need escalation? Which phone numbers are trusted? What evidence must be saved? Who can override the process, if anyone?
Related reading
- BEC Scams in Australia: 2026 Prevention Guide
- How to Verify Supplier Bank Details in Australia
- Dual Approval Payments: Your Best Defence Against Fraud
What to do next
AI BEC attacks are not a future risk for finance teams. They are an upgrade to fraud patterns that already cost Australian businesses money: payment redirection, supplier impersonation, invoice fraud and rushed approval overrides.
The practical defence is to stop trusting the surface of the message. A polished email, familiar supplier name or convincing phone call should never be enough to change payment details or release funds.
For Xero-based finance teams, start with the highest-risk control. Review how supplier bank details are changed, who approves them and whether evidence is retained. Then review new-payee payments, batch-payment exceptions and user permissions.
OutflowGuard helps Australian Xero teams monitor supplier bank-detail changes, alert the right people and enforce dual approval before risky changes become real payments. It is not a replacement for good judgement, but it gives finance teams a control layer that does not rely on spotting every AI-generated scam by eye.
Sources
- ACCC National Anti-Scam Centre, Targeting Scams Report 2023
- Australian Signals Directorate, Cyber Threat Report July 2023 to June 2024
- Australian Cyber Security Centre business email compromise guidance