Use Case

Catch invoice fraud before you pay

Duplicate submissions, phantom invoices, inflated amounts, and unauthorized charges — AI flags them for your team before payment clears.

Every Invoice

Duplicate-Checked

PO + Receipt

Required to Clear Match

Every Line

Price Validation

Complete

Audit Trail

The problem

Why manual processes leak money and slow your business.

76% of organizations hit

Fraud is widespread

In AFP's 2026 Payments Fraud and Control Survey, 76% of organizations reported attempted or actual payments fraud in 2025. Fake and altered vendor invoices are a common route in — and generative AI makes convincing fakes easier to produce.

5,000+ invoices/month

Manual review can't keep up

At scale, human reviewers catch obvious duplicates but miss subtle overcharges, re-sent duplicates, and phantom invoices with legitimate-looking details.

~12 months to detect

The cost of a missed catch

The typical occupational fraud runs about 12 months before it is detected (ACFE Report to the Nations 2024). The longer it runs, the higher the cumulative damage.

The solution

How inferonIQ solves each pain point.

Content-based duplicate detection

SHA-256 fingerprinting of vendor and line content catches duplicates regardless of invoice number, filename, or date.

Price variance detection

Line-level comparison against PO prices catches padding and inflated amounts that header-level checks miss.

Phantom invoice prevention

3-way matching requires a valid PO and receipt. Invoices without matching purchase authority are flagged immediately.

Vendor master validation

Near-duplicate vendor records and bank-account changes are flagged for verification before money moves.

Complete audit trail

Every match decision, correction, approval, override, and exception is logged with timestamps and user attribution.

Segregation of duties

Compliance checks flag when the same person creates a vendor and approves its payments.

Complete workflow

Every step from receipt to payment — fully automated.

1

Invoice ingestion & fingerprinting

Every invoice is hashed (SHA-256 content fingerprint) at ingestion. The hash captures vendor, line items, quantities, and prices — ignoring cosmetic differences like dates or invoice numbers.

2

Duplicate scan

New invoice fingerprint compared against all historical hashes. Catches re-submissions and re-sent copies of the same charge under a new invoice number.

3

Phantom invoice detection

3-way match requires valid PO + goods receipt. Invoices without matching purchase authority flagged immediately — no PO means no clean match.

4

Price variance check

Every line item compared against PO contracted price. Even 1-cent overcharges flagged when multiplied across thousands of units.

5

Vendor master validation

Vendor records checked for near-duplicate names and missing tax or master data; a changed bank account on an invoice is flagged for verification with the vendor.

6

Policy & threshold controls

Compliance checks flag non-PO spend above your limit, high-value invoices approved without the required review, and segregation-of-duties conflicts.

7

Exception hold

Suspicious invoices are held with full evidence — the reason for flagging, dollar impact, and recommended action — and assigned to a named owner.

8

Audit trail & reporting

Complete log of every decision. Reports ready for SOX testing, internal audit, and forensic review.

No-risk assessment

See what we find before you commit.

Read-only connection. We review a sample of your invoices, agreements and supplier spend, then hand back a findings report with specific figures. If there is nothing to recover, there is nothing to pay.

Read-only accessNo commitmentNothing found, nothing owed
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