AI‑Driven Fraud Is Targeting Accounts Payable. Here’s How to Stay Ahead

According to the FBI’s 2025 Internet Crime Report, business email compromise cost organisations more than three billion dollars last year. It is now one of the most financially damaging forms of cybercrime.

AI has made these attacks harder to spot. The right response is not asking your team to be more suspicious. It is putting simple checks around high‑risk actions.

Why Accounts Payable teams are targeted

Accounts Payable sits where trust and timing meet.

Your team handles invoices, supplier details, and payments, often under pressure. For attackers, that combination is ideal.

AI has made this faster and easier. Messages that once took time and skill to create can now be generated at scale and tailored to your business.

What AI‑enhanced fraud looks like day to day

Emails that blend into normal work

Modern fraud emails are well written and match the tone of the person being impersonated. They reference real projects, invoices, and payment runs.

For teams handling large volumes of routine messages, that familiarity lowers defences.

Invoice changes and payment redirection

Attackers often intercept real invoice conversations and quietly change bank details. Sometimes they resend a genuine invoice with a small edit. Sometimes they claim a supplier has updated their account.

Because the surrounding context is real, the request looks normal.

Voice cloning and executive impersonation

AI tools can now copy someone’s voice from a short recording. This makes phone calls and voicemails sound completely convincing.

For teams used to verbal approval on urgent payments, this removes a check many people still trust.

Why traditional checks are no longer enough

Training still matters, but the signals people were taught to look for are disappearing.

When a fake request looks exactly like a real one, the risk should not sit with the person reading it.

Build the process around the risk

Make out‑of‑band checks standard

Any request to change supplier bank details or approve an urgent payment should be confirmed using a separate, trusted channel.

Call a supplier using a number already on file. Check directly with a colleague. Do not reply to the same email thread.

Limit access and protect sign‑ins

Restrict who can make changes in financial systems. Use multi‑factor authentication wherever possible.

Extra sign‑in checks can slow things down or stop fraud before money moves.

Support a culture that allows people to pause

Fraud prevention works when people feel safe questioning requests, even from senior leadership.

Pausing a payment to check it is not blocking progress. It is good process.

Shift the burden from people to process

AI‑driven fraud will keep evolving. Your response does not need to be complex.

Clear checks. Consistent steps. A team that knows it is always right to slow down on high‑risk actions.