The Cost of Fraudulent Invoices: Why Bad Data Is the Real Vulnerability

Most organizations assume invoice fraud requires a sophisticated attacker. It doesn’t — it happens because fragmented, unverified supplier records make it impossible for AP teams to confirm who they’re actually paying.

Three professionals reviewing data together on a laptop in an office setting.

Every AP team has controls. Invoice approval workflows, payment thresholds, three-way matching, audit trails. And yet, 75% of procurement leaders say data quality issues are detracting from their confidence in their organization’s AI investments¹ — and the same fragmented, unverified supplier records that make AI unreliable are the exact ones your accounts payable team is approving payments against right now.

Fraudulent invoices don’t succeed because attackers are sophisticated. They succeed because the data underneath your controls can’t tell a real supplier from a fake one. Duplicate vendor records create multiple payment paths. Unverified entities can’t be challenged. Fragmented vendor masters across ERP systems mean there’s no single source of truth to catch a suspicious invoice before it’s paid.

This post breaks down what the numbers actually say about invoice fraud, why most organizations are more exposed than they realize, and what it takes to close the gap at the source.

How big is the invoice fraud problem?

The short answer: bigger than most finance teams want to acknowledge, and more preventable than most procurement teams realize.

Procurement teams are already under pressure: workloads are projected to increase 10% while budgets grow just 1%, creating a 9% efficiency gap that leaves little room to absorb the cost of fraud and bad data.² That same data quality problem shows up directly in accounts payable exposure.

Consider what the numbers say:

79% of organizations were hit by attempted or actual payments fraud in 2024.³

$1.2M is the average annual cost of invoice fraud per organization, across an average of nine successful attempts per year out of thirteen.⁴

5% of annual revenue is lost to fraud on average across organizations.⁵

$12.9M is the average annual cost of poor data quality per organization.⁶

The root cause isn’t sophistication, it’s visibility.

Most organizations assume invoice fraud requires a determined, technically sophisticated attacker. In practice, the bar is much lower.

As Elouise Epstein, Partner at Kearney, puts it: “The easiest way to hack a company is just to send a bunch of fraudulent invoices in and see if they get paid. And the fact that there is a percentage that get paid, sometimes as much as 80%, is just a complete failure.”

The reason so many fraudulent invoices get paid is because of data. AP teams can only verify what they can see. When the vendor master is fragmented across systems, full of duplicates, and built on unverified supplier identities, the controls on top of it are checking invoices against data that was never trustworthy to begin with.

The three structural problems that create the most exposure:

Duplicate vendor records: The same supplier entered under different names, IDs, or ERP instances creates multiple payment pathways. A fraudulent invoice submitted under a slight name variation may pass controls that would catch an exact match.

Unverified supplier identities: When vendor records aren’t matched to verified legal entities — the registered companies, their officers, their jurisdictions — your AP team has no way to distinguish a legitimate vendor from a shell. Without that verification at the record level, invoice approval becomes a judgment call rather than a data-backed decision.

Fragmented vendor masters: Most large enterprises run supplier data across multiple ERP systems, procurement tools, and spreadsheets. There’s no single version of supplier truth. That fragmentation means a suspicious invoice may be approved in one system that would be flagged in another, or simply never compared at all.

What clean supplier data actually prevents

Fixing invoice fraud risk starts with fixing the data those controls depend on.

When every supplier in your vendor master is verified against a legal entity, your AP team stops approving payments on faith and verification becomes a data-backed check, not an assumption.

Specifically, clean and continuously maintained supplier data:

Eliminates the duplicate records that create ghost vendor risk: When supplier identities are resolved across systems, there’s one record to approve against, not several that could each serve as a payment pathway.

Flags changes that signal risk before a payment runs: Sudden changes to banking details, addresses, or company status are among the clearest early indicators of fraud. Monitoring supplier records continuously — not just at onboarding — means your team is alerted when something changes rather than discovering it after a payment has gone out.

Supports real-time sanctions and know-your-business checks at the entity level: Sanctions screening against an unverified or fragmented vendor record is incomplete by design. Entity-level verification makes those checks meaningful.

Makes your vendor master defensible to auditors, not just readable: Clean, sourced, hierarchy-mapped supplier records give compliance and audit teams the provenance trail they need, without the manual reconstruction that fragmented data requires.

How Atlas addresses this at the source

Atlas is an enterprise supplier data foundation that gives procurement, AP, and finance teams verified, continuously maintained records on every legal entity (registered company) in their vendor master.

Built on a proprietary dataset of 239M+ legal entities across 145 countries, Atlas achieves an approximately 85% automated match rate against even the most fragmented vendor master environments. It identifies the same supplier across systems, links subsidiaries to ultimate parents, and resolves the naming inconsistencies that create payment risk.

Verify who you’re paying: Atlas confirms the legal existence, registered name, corporate officers, and jurisdiction of every supplier in your vendor master. This helps your AP team to know if a vendor is who they say they are before an invoice reaches the approval queue.

Surface duplicate and conflicting records: Atlas identifies and resolves supplier records that appear under different names, IDs, or ERP instances across your systems, giving AP a single trusted record to approve against.

Flag changes that signal risk: Atlas monitors supplier records continuously, not just at onboarding, so your team is alerted when banking details, company status, or entity structure changes unexpectedly.

Integrate into the systems your team already uses: Atlas connects natively into SAP, Oracle, Coupa, and other ERP and procurement systems, so clean supplier data flows into your existing AP workflows without manual steps or parallel processes.

Your invoice controls are only as strong as the data behind them. Atlas makes sure that data is right.

Ready to close the gap?

If your vendor master hasn’t been verified, and matched to authoritative legal entity records, your AP controls have a gap that invoice fraud exploits. Atlas closes it.

Talk to us about what Atlas can do for your vendor master