Written by David Rodgers

Quality and Operations Perspective

Written by David Rodgers, Lean Six Sigma Black Belt and ASQ-certified quality leader. This guide applies quality and process-improvement methods to finance and accounting operations from a quality and operations perspective. The author is not a CPA, auditor, tax adviser, or financial adviser.

Last editorial review: September 24, 2026. Educational content only: not medical, legal, or regulatory advice. Follow your organization's policies and the requirements that apply to you, and have subject-matter experts review any change to a live process.

  • Lean Six Sigma Black Belt
  • ASQ CQE
  • ASQ CMQ/OE
  • Quality systems and process improvement

Accounts payable processes thousands of invoices, and even a few percent of errors means hundreds of exceptions to find, correct, and re-process each month. Because the process has clear steps and countable defects, it lends itself well to the tools of quality engineering.

This guide covers the common error types and their causes, the measures to use, and a worked example that turns a month of 372 logged errors into a Pareto chart, a DPMO and sigma level, and a cost saving from focusing on the top two causes.

Open the p-Chart Calculator Open the Pareto Chart Builder

Before You Start

Educational content. This guide applies quality and process-improvement methods to finance and accounting operations. It is not accounting, audit, tax, legal, or investment advice, and it does not replace your accounting policies, applicable standards and regulations, or the judgment of qualified professionals. Changes to controls or reporting should be reviewed by your finance leadership and, where relevant, your auditors.

Why Accuracy in Accounts Payable Matters

Errors Cost Money Twice

An error costs the payment itself if it is wrong, and the time to find, correct, and re-process it.

Rework Hides in Volume

In a high-volume process, a 6% error rate means hundreds of exceptions a month, each handled by a person.

Suppliers Notice

Late or wrong payments damage supplier relationships and can cost early-payment discounts.

Controls Depend on Clean Inputs

Matching, approvals, and fraud checks work better when the data entering them is right the first time.

Common Error Types and Their Causes

Error typeTypical causesTypical countermeasure
Coding errors (wrong account or cost center)Free-text entry, unclear coding rules, requesters unfamiliar with the chart of accountsDefault coding by supplier, drop-down lists, coding at the requisition
Missing or invalid purchase orderPurchases made without a PO, PO closed or exhaustedRequire a PO before commitment, alerts for PO balance
Duplicate or near-duplicate invoicesSame invoice received by email and mail, small differences in reference numbersDuplicate checks on supplier, amount, and date; standard invoice numbering
Wrong amount or taxPrice not as ordered, tax not applied correctly, unit-of-measure mismatchThree-way match (PO, receipt, invoice) with tolerances

Measures

MeasureFormulaMeaning
First-pass yieldInvoices processed without correction / invoices receivedShare right the first time.
Error rateInvoices with an error / invoices receivedThe complement of first-pass yield.
DPMODefects / (units × opportunities per unit) × 1,000,000Defects per million opportunities. See the DPMO guide.
Touchless (straight-through) rateInvoices processed with no human intervention / invoices receivedAutomation effectiveness.
Cost per exceptionHandling time × labor rate (plus any overpayment)What an error really costs.

Worked Example: A Month of Invoices

An AP team processes 4,800 invoices in a month and logs every error found before or after payment, classified by type. It checks five points on each invoice: supplier, amount, coding, PO match, and approval. The figures are illustrative.

132 Coding errors 96 Missing orinvalid PO 60 Duplicate ornear-duplicate 54 Wrong amountor tax 30 Other 35% 61% 77% 92% 100% Invoice errors by type in one month, 372 in total (line shows cumulative share)
Coding errors and missing POs account for 228 of 372 errors, about 61%.
MeasureCalculationResult
Errors logged132 + 96 + 60 + 54 + 30372
Opportunities4,800 invoices × 5 checks24,000
DPMO372 / 24,000 × 1,000,00015,500
Approximate sigma levelInverse normal of (1 − 0.0155) plus the conventional 1.5 shiftabout 3.66
Cost of handling errors372 × $18 per exception$6,696 per month

The team focuses on the top two types. Default coding by supplier and coding drop-downs address coding errors, and a rule that a PO must exist before a purchase is committed addresses missing POs. If those countermeasures cut both types by 60%, errors fall by (132 + 96) × 0.6 = 136.8, to about 235, and handling cost falls by 136.8 × $18 = about $2,460 per month. That is a target, not a result. The team confirms it by tracking the error rate by type on a control chart. See the Transaction Quality guide.

Handling cost is not the whole picture. A duplicate payment, even when recovered, ties up cash and takes vendor follow-up, and unrecovered ones are a direct loss. Weigh these separately from processing time. Changes to approval or matching controls should be reviewed by finance leadership and, where relevant, the auditors.

Self-Assessment Questions

  • Do we log errors by type, and do we know the top two?
  • Do we know our first-pass yield and cost per exception?
  • Do we fix the source, such as coding rules and PO requirements, or only correct individual invoices?
  • Do we check for duplicates before payment?
  • Do we track error rates over time on a control chart?

Common Mistakes

Fixing the Invoice, Not the Cause

Correcting each error individually leaves the cause in place. Use Pareto analysis to find the causes.

Adding Approval Layers

More approvals add delay and rarely fix coding or PO problems. Prevent errors at entry.

Counting Only Handling Time

Overpayments, lost discounts, and supplier friction are real costs. Include them.

Weakening Controls to Go Faster

Automation should reinforce matching and duplicate checks, not bypass them.

Invoice and Payment Accuracy: Frequently Asked Questions

How do you calculate DPMO for invoices?

DPMO is defects divided by the number of units times the opportunities for a defect per unit, multiplied by 1,000,000. For example, 372 errors over 4,800 invoices with 5 checks each gives 372 divided by 24,000, times a million, or 15,500. Define the opportunities clearly and count them the same way each period.

What are the most common causes of invoice errors?

Common causes include incorrect coding, missing or invalid purchase orders, duplicate or near-duplicate invoices, and amount or tax mismatches. Most trace to entry practices and rules upstream, so fixing the source, such as default coding and requiring a PO before purchase, works better than correcting invoices one by one.

Does automating accounts payable remove errors?

It can remove many, especially rekeying and matching errors, but automation also changes where errors arise, for example in data capture or master data. Automate on top of clear rules and clean master data, keep matching and duplicate checks, and measure the touchless rate together with the error rate.

Sources and Further Reading

  • Michael George, Lean Six Sigma for Service.
  • Forrest W. Breyfogle III, Implementing Six Sigma, on DPMO and sigma levels.
  • ASQ Certified Six Sigma Black Belt Body of Knowledge.
  • Guidance on accounts payable controls published by professional accounting bodies.