As AI-generated expense fraud costs businesses millions, freelancers face a double threat: their legitimate receipts may be questioned, whilst sophisticated fake invoices targeted to them slip through unchecked
The rise of AI-powered expense fraud
Doctoring receipts to commit expenses fraud is not a new concept, but it’s never been easier. The existence of free AI tools means that anyone can now fabricate convincing evidence of expenses in seconds, and this new wave of AI-generated documentation is slipping through checking systems and costing firms millions.
According to an October 2025 report in the Financial Times cited by the Institute of Chartered Accountants in England and Wales (ICAEW), the launch of OpenAI’s GPT-4o model last year coincided with a sharp rise in falsified receipts.
Software provider AppZen reported that fake AI receipts accounted for about 14% of fraudulent documents submitted in September, compared with none in 2024. Fintech group Ramp’s software flagged more than $1m (£759,868) in fraudulent invoices within just 90 days.
“Fraudsters are using generative AI to produce fake documentation such as pay slips, tax forms, receipts, invoices and bank statements which are then submitted to third parties for reimbursement or financial gain,” says Arun Chauhan, Director and Founder of Tenet Law, and a Business Fraud Alliance board member, in the ICAEW report. “These fakes are now so realistic that they can be very difficult to detect.”
Why freelancers are vulnerable
Whilst the ICAEW report focuses primarily on corporate expense fraud, freelancers face unique risks on both sides of this emerging threat. Unlike employees within larger organisations, solo workers lack the protection of dedicated finance teams and sophisticated fraud detection systems.
Legitimate expenses under suspicion
Freelancers who submit genuine receipts to clients for reimbursement may now face increased scrutiny or even false accusations. As businesses deploy AI detection tools to combat fraud, legitimate receipts, particularly those from smaller vendors with less polished receipt systems, could be flagged as suspicious.
This creates a potential administrative nightmare. Payment delays, damaged client relationships, and the need to provide additional corroborating evidence such as credit card statements or geolocation data all add burden to an already complex invoicing process.
The fake invoice trap
More concerningly, freelancers themselves are increasingly targeted by sophisticated fake invoices that appear to come from legitimate suppliers and service providers. These AI-generated documents are so convincing that they can easily slip past a busy freelancer’s defences.
Common examples of fake invoices targeting freelancers include:
- Domain and hosting renewals: Fake invoices from companies mimicking One.com, GoDaddy, Namecheap, or Hostinger, often with slightly altered email addresses like “billing@g0daddy.com“
- Email service providers: Fraudulent bills purporting to be from Gmail Workspace, Microsoft 365, or Mailchimp
- Cloud storage services: Fake Dropbox, Google Drive, or iCloud upgrade notifications with payment demands
- Design and productivity tools: Counterfeit Adobe Creative Cloud, Canva Pro, or Grammarly subscription renewals
- Antivirus and security software: False Norton, McAfee, or Bitdefender renewal notices
- Accounting software: Fake QuickBooks, Xero, or FreshBooks invoices
- Project management tools: Fraudulent Asana, Trello, or Monday.com billing notices
- Stock photo services: Counterfeit Shutterstock or Getty Images invoices
The ICAEW report notes that fraudsters are now pairing fake receipts with AI-generated voice or video deepfakes to impersonate senior staff. For freelancers, this could mean receiving a video message that appears to be from a regular client requesting urgent payment of an invoice.
How to spot AI-generated receipts and invoices
Ian Pay, head of data analytics and tech at ICAEW, says the tools that enable fraud can also help to stop it.
“There’s increasing adoption of AI to be able to detect AI,” he notes in the report. “While some people think this is a bit like marking your own homework, the reality is that AI is often quite good at identifying imperceptible patterns in the way an image has been created.”
However, Pay emphasises that human vigilance remains crucial. “If you know what to look for, AI-generated receipts are still fairly easy to spot,” he says.
“Does it include all the usual information, dates, VAT numbers, store numbers? Does it look too perfect? Even when AI adds wear and tear, it often does so uniformly. Real receipts have quirks, smudges, and folds that are hard to replicate.”
Red flags to watch for
The Business Fraud Alliance, referenced in the ICAEW report, offers practical guidance on spotting suspicious documents:
- Receipts that don’t correlate with known locations, times, or activities
- Totals that repeatedly fall just below expense limits
- Absent or inconsistent VAT or transaction details
- Images that appear two-dimensional or unnaturally lit
- Uniformly applied “wear and tear” that looks too perfect
- Lighting, texture, or alignment inconsistencies
Protective measures for freelancers
Senior Associate at Tenet Law and Business Fraud Alliance board member Esther Phillips emphasises the importance of contextual verification.
“Financial professionals can still carry out contextual verification of receipts by cross-referencing submitted receipts with employee diaries to check travel patterns and with historic expenses claims to check spending norms,” she says in the ICAEW report.
“Logic remains a key tool, but this does require allowing those doing the checking to have time to stand back and stress test and think about what they are being presented to approve.”
Freelancers can apply principles to protect themselves:
When submitting your own expenses:
- Keep comprehensive records including credit card statements, calendar entries, and location data
- Use digital payment methods wherever possible to create automatic paper trails
- Include brief contextual notes with expense submissions explaining the who, what, where, when, and why
- Retain original receipts and any supporting documentation
- Be prepared to provide additional verification if requested
When receiving invoices
- Verify sender email addresses carefully, checking for subtle alterations
- Cross-reference invoice amounts with your records of agreed rates or subscription fees
- Check invoice numbers against previous bills for consistency
- Look for the red flags identified by the Business Fraud Alliance
- Contact the supposed sender directly using contact details from their official website, not those on the invoice
- Be wary of urgent payment demands or threats of service suspension
- Enable two-factor authentication on all business accounts
- Set up direct debits for regular subscriptions rather than paying individual invoices
The culture of verification
As with anti-money-laundering (AML) and know your customer (KYC) checks, the ICAEW report emphasises that the same principles apply to expense verification: verify, contextualise, and question.
“You’re only really in trouble if your organisation has a culture of waving through claims,” says Pay. “AI receipts could be a problem, but systems for proper review should have been in place anyway. I’ve yet to see an AI-generated receipt that would genuinely fool me.”
For freelancers, this means developing your own culture of healthy scepticism. The expense reimbursement process is becoming more complex for everyone, and solo workers—who lack the support systems of larger organisations—need to be especially vigilant and meticulous with their documentation.
Fraudsters can move fast, but combining logical checks with careful scrutiny remains the best defence against even the most convincing digital forgeries. The key is to pause, question, and verify before clicking that payment button.
