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Status Future consideration
Categories Invoice automation
Created by Sophia Yu
Created on Apr 16, 2024

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Is it possible for Invoice Capture or Auto Coding to detect fraudulent or suspicious invoices?

Swank Motion Pictures informed me they received a fraudulent invoice that appeared to be from LinkedIn.

"There were a couple things suspicious about the email but the invoice was an exact match except for the customer number. I am curious would Centime platform recognize the Customer number they provided on the invoice would not match what is in the system?"

Suspicious element: Account number was incorrect

What is the use case?

  • As the machine learning gets more and more familiar with invoices, is it possible for the system to detect fraudulent/suspicious invoices such as when Customer Number or Ship To differs from historical invoice-captured invoices.

  • Since we capture these fields - even though they are not on the invoice form - is it possible for Autocoding to flag these discrepancies?
Impact?

  • This can elevate the value of the AP module

  • Clients are very sensitive to fraud these days

  • As we go upmarket larger clients may have invoices coming from all over and they may not catch discrepancies

Is there a work around?

Yes the client can just look more closely at the invoice
Proposed solution?

Perhaps ML/Autocoding can detect and flag when captured fields do not match the same fields on previously captured invoices.
Client / Prospects AWAITING (internal only) Swank Motion Pictures
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  • Admin
    Andrew Waters
    Reply
    |     Apr 23, 2024

    Love the idea! Will think on this and consider how we can incorporate.