An AI bank detail change verification agent recognises bank change requests in email, portal messages and attachments, even when they are phrased as a routine update or arrive with an invoice.
A supplier asks to change its bank details.
The agent tests sender, channel and wording.
It compares new details with those on file.
A person verifies by phone on the known number.
Only a verified change updates the vendor master.
Pending payments are held until the change is verified.
It checks the request against the supplier record: sender address, domain, language and timing, and notes anything unusual, such as a new sender or a request just before a large payment.
It prepares the verification task with the contact details on file and the questions to ask, and keeps the change on hold until a person confirms it.
Fraudsters pose as real suppliers and ask for a bank change, because one convincing email can redirect every future payment.
Suppliers do change banks, so a genuine and a fake request read alike.
A look-alike domain passes a quick glance.
Requests often land right before a known payment.
A polite request with urgency can bypass caution.
People confirm using whichever number the email provided.
The agent spots a bank change in incoming messages, forms and invoices that show different details from the record.
It checks the sender, domain, previous contacts and the new account country against what is on file.
It rates the request on signals like new sender, urgency and mismatched names.
It drafts a task with a contact taken from the contract or earlier records, never from the request.
The new details stay inactive until a person records a successful verification.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Channel | Requests are accepted from any email. | Requests are checked against known contacts and channels. |
| Pressure | Urgent wording leads to rushed changes. | Urgency language is flagged as a risk cue. |
| Callbacks | Callbacks use the number in the request. | Callbacks use the number held on file. |
| Timing | Changes apply before checks finish. | Payments wait until verification completes. |
| Record | Little evidence is kept. | Each change stores its source and checks. |
| If | Then | Who decides |
|---|---|---|
| Request comes from a known contact | Starts the standard check | Vendor admin verifies |
| Request comes from an unknown sender | Flags as high risk | Vendor admin calls the known contact |
| Request asks to change account to a new country | Flags the change | Finance reviews |
| Request is marked urgent | Notes pressure language | Vendor admin treats it with extra care |
| Payment is due before verification | Holds the payment | AP lead decides |
| Callback confirms the change | Allows the update | Vendor admin applies it |
The agent notes unusual style or timing and insists on a callback. The vendor admin may escalate to security.
The agent links the supplier's public notice if one exists. The vendor admin still calls.
The agent requires the supplier's own written request. A person validates it.
The agent groups the requests as a possible campaign. The AP lead alerts security.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Capture every request.
Flag odd channels and urgency.
Use callbacks for all changes.
Block affected payments.
This shows whether every change is checked before money moves. Anything less than full coverage is exposure.
Quick answers to what people ask most about bank detail change verification.
Book a demoIt is the checking of a request to change a supplier's bank details, to confirm it genuinely comes from the supplier before payments use the new account.
It compares the sender and details against your records and looks for signals such as look-alike domains, new accounts abroad and unusual timing.
No. It holds the change and prepares verification. A person confirms and an authorised user updates the record.
Bank detail verification checks a new supplier at onboarding. This step covers a change for an existing supplier, where the fraud risk is different.
Duplicate payment prevention is the control that stops the same obligation from being paid twice, by checking proposed payments against past and pending payments before release.
→Invoice anomaly detection is the practice of finding invoices that look out of pattern, for example an unusual amount, a new item, an odd timing or a different format from the same supplier.
→Duplicate invoice detection is the check that finds an invoice that has already been received or paid, whether as an exact copy or with small changes to the number, date or amount.
→Vendor impersonation detection is the identification of messages or invoices sent by someone pretending to be a genuine supplier, usually to redirect a payment.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
