AI-Powered Invoice & Payment Fraud: A Growing Threat to Businesses

Scammers are posing as legitimate businesses on social media. Here’s how the scam works and what you can do to protect yourself.

Imagine receiving what appears to be an invoice from a vendor that includes updated wiring instructions. The message looks authentic and aligns with past communications. You process the payment, only to later realize the funds were sent to a fraudster. This scenario is common with the rise of AI fraud, and it could affect your business. 

What Is AI Invoice & Payment Fraud?

These scams involve fraudsters using artificial intelligence to create realistic invoices, emails, and payment requests. While similar to traditional business email compromise scams, AI makes these attacks more convincing by closely imitating real communication.

Scammers may pose as people your business regularly interacts with, including:

  • Vendors or suppliers
  • Employees, particularly those in accounting or finance
  • Senior leaders, such as CEOs or CFOs, requesting urgent action

How AI Invoice Scams Work

Fraudsters often begin by gathering detailed information about your business, such as vendor relationships, internal processes, and payment cycles. Using this, they generate believable messages or documents with AI. You might receive what appears to be a standard or urgent request, prompting you to act quickly. Once the payment is made, it is redirected to a fraudulent account.

Common tactics include:

  • Requests for updated bank or wire details
  • Fake invoices designed to match your usual format
  • Urgent payment instructions that appear to come from leadership

Why These Scams Are Effective

Advancements in AI have made it easier for criminals to replicate tone, language, and formatting. This reduces the traditional warning signs, like spelling errors or awkward phrasing, that once made scams easier to detect. Additionally, these attacks are no longer limited to large organizations. Businesses of all sizes are potential targets.

Warning Signs to Look For

Even sophisticated scams can leave clues. Be cautious if you notice:

  • Unexpected changes to payment instructions
  • Requests to skip standard approval procedures
  • Urgent or last-minute payment demands
  • Slight variations in email addresses or domains
  • Invoices that look correct, but don’t align with internal records

How To Prevent AI Invoice Scams

Awareness is important, but combining it with strong processes and tools can significantly reduce your risk. 

Internal Controls

  • Require two levels of approval for payments
  • Separate responsibilities for invoice approval and payment processing
  • Establish thresholds that trigger additional verification 

Verification Practices

  • Confirm any payment changes through a trusted, known contact method
  • Use previously saved contact details when reaching out to vendors, or use a contact method outside of email

Employee Education

  • Train your teams to recognize AI-enhanced fraud attempts
  • Encourage your employees to slow down and verify unusual requests

Technology Solutions

  • Implement fraud detection systems and alerts
  • Enable notifications for account or payment changes
  • Consider tools like Positive Pay or ACH filters

What to Do If Fraud Is Suspected

If something doesn’t seem right, act immediately. Pause or attempt to stop the transaction, contact your financial institution, and report the issue internally. Be sure to notify any affected vendors or partners and keep detailed records of the incident.

Jefferson Bank offers resources to help protect your business from fraud. Download our Business Fraud Prevention Checklist today.  

The information provided in these articles is intended for informational purposes only. It is not to be construed as the opinion of Central Bancompany, Inc., and/or its subsidiaries and does not imply endorsement or support of any of the mentioned information, products, services, or providers. All information presented is without any representation, guaranty, or warranty regarding the accuracy, relevance, or completeness of the information.