ACFE 2024Monitoring cuts typical fraud losses in half →

Fraud takes 5% of revenue1. Most businesses never see it coming.

Probity continuously monitors QuickBooks Online and your bank accounts for the vendor, payment, and payroll patterns behind employee fraud, so it’s caught early, when losses are smallest.

The cost of fraud
$5T

an estimated loss to occupational fraud worldwide every year

ACFE 2024 · p. 9
The problem, by the numbers

Occupational fraud is common, expensive, and it hides in plain sight for a year or more.

$3.1B

Lost across the 1,921 fraud cases studied

ACFE 2024 · p. 9
$1.66M

Average loss per fraud case

ACFE 2024 · 1,921 cases
22%

Of cases cost the victim $1 million or more

ACFE 2024 · p. 9
57%

Of victim organizations recovered nothing

ACFE 2024 · Fig. 60

Every month it goes unnoticed, it gets more expensive

Certified Fraud Examiners estimate fraud takes 5% of revenue a year. The typical scheme runs 12 months before anyone notices. When an owner or executive is behind it, 24 months.

Even the median case costs $145,000, and $141,000 at companies with fewer than 100 employees.

$10,000,000

Illustration only: 5% of revenue a year, accruing evenly while a scheme goes undetected. Your actual exposure will differ.

6 months$250,000
12 months · typical scheme$500,000
18 months$750,000
24 months · owner or executive$1,000,000
Estimated loss at 5% of annual revenue · months undetected

Source: ACFE, Occupational Fraud 2024: A Report to the Nations, pp. 4, 9, 15, 32, 75; Fig. 41 (p. 53).

What actually works

Monitoring cuts losses in half, and catches fraud twice as fast

Organizations that proactively monitor and analyze their financial data lose half as much and find fraud in half the time. Most small businesses don’t have it. Probity provides it on the systems they already use.

Median loss per case

With vs. without proactive data monitoring

With monitoring$100K
Without monitoring$200K

Median months to detection

With vs. without proactive data monitoring

With monitoring9 mo
Without monitoring18 mo
19%

of small businesses (fewer than 100 employees) use proactive data monitoring.

Organizations with 100+ employees53%

Source: ACFE 2024, Figs. 28–30 (pp. 40–44).

How fraud gets caught today

Mostly by a tip. Almost never by monitoring.

43% of frauds are uncovered because someone speaks up. Only 3% are caught by automated transaction monitoring, yet those cases were found in a median of 6 months with $83,000 lost. Cases found by an external audit ran 18 months and cost $227,000.

How frauds were initially detected, ACFE 2024 Fig. 13
MethodShare of cases
Tip43%
Internal audit14%
Management review13%
Document examination6%
Account reconciliation5%
By accident5%
External audit3%
Automated transaction or data monitoring3%
Initial detection method, % of cases. ACFE 2024, Fig. 13 (p. 24); Fig. 15 (p. 25).
How Probity helps

Catch it in the first months, not the second year

Probity reviews every transaction, flags the patterns behind billing, payroll, and check fraud, and shows the full story behind each alert: who created the vendor, who entered the bill, who approved it, and what hit the bank.

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What Probity catches

Twelve patterns behind employee fraud, watched on every transaction

Most schemes don’t look like theft. They look like an ordinary bill, a routine payment, a new vendor. Probity looks for the patterns that give them away.

Billing

Duplicate invoices and payments

The same bill entered or paid twice, including resubmissions under a new date.

Ghost vendors

New vendors with missing details that start receiving payments quickly.

Bills without a PO or support

Bills paid with no purchase order or supporting document behind them.

Payments

Split payment structuring

Payments broken up to stay just under an approval limit.

Rapid succession payments

Several payments to the same payee in a short window.

Weekend and off-hours payments

Money moving when nobody is usually working.

Books and bank

Unrecorded bank payments

Money that left the bank with no matching entry in the books.

Large payments to non-1099 vendors

Big payments to vendors not set up for tax reporting.

Payroll anomalies

Unusual payroll transactions and changes to normal pay patterns.

Patterns

Vendor payments outside baseline

Amounts or timing that break from a vendor’s own history.

First-digit analysis

Amounts that don’t follow the natural distribution of real transactions (Benford’s law).

Vendor risk ranking

Every vendor ranked by how far its activity drifts from normal.

Want to know which of these are already in your books?

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For business owners

An independent set of eyes on every dollar

Continuous monitoring without adding headcount, with alerts your owner or controller can act on.

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For MSPs

Their IT is managed. Their cybersecurity is managed. Why isn’t their money?

Offer managed fraud detection the way you deliver MDR, with one login across every client.

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