Audit exception rate
This shows how often invoices breach policy. Track the rate by test and by approver to see which control needs attention.
- Compare periods using the same set of tests.
- Break results down by supplier and cost center.
An AI invoice audit agent runs your audit tests across every invoice in a period, covering approval authority, match status, contract prices, tax data, supplier status and coding validity.
The agent picks invoices by risk or period.
It collects invoice, PO, receipt and approval records.
It checks each item against the policy.
An auditor reads findings and decides.
Exceptions are listed with evidence.
Corrective actions are followed up.
It assembles an evidence file per exception, with the invoice, the approvals, the PO or contract and the rule that failed, so an auditor starts from facts.
It summarises exceptions by type, supplier, approver and period, and keeps the test definitions and results so the same audit can be repeated.
Sample-based audits examine a small slice of invoices and miss the pattern that sits in the rest.
A problem affecting a small group of suppliers may never be sampled.
Collecting approvals, POs and contracts for each item is slow.
Policies and thresholds shift and old tests no longer apply.
Audits after year end reveal issues that happened months before.
Manual audits vary between auditors.
The agent takes your audit rules, such as approval limits, PO requirements and contract prices.
It tests every invoice in scope and records pass or fail for each rule.
For each failure it collects the invoice, approvals and linked documents.
It groups exceptions by cause and ranks them by value and risk.
It produces a findings list with the evidence, for auditors to examine and conclude.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Sampling | Samples are small and chosen by hand. | Larger sets can be tested with a risk-based selection. |
| Evidence | Auditors request documents one by one. | Evidence is pulled together per invoice. |
| Consistency | Different auditors test differently. | The same tests run on each invoice. |
| Timing | Audits happen after year end. | Tests can run regularly. |
| Follow-up | Fixes are tracked in email. | Actions are tracked until closed. |
| If | Then | Who decides |
|---|---|---|
| Invoice lacks an approval record | Flags a control failure | Auditor decides |
| Approver exceeds their limit | Flags it | Auditor decides |
| Receipt dated after payment | Flags it | Auditor decides |
| Payee differs from the vendor record | Flags it | Auditor decides |
| Invoice has no PO where policy requires one | Flags it | Auditor and AP lead review |
| Finding is accepted | Opens a corrective action | AP lead owns it |
The agent lists what is missing and asks the owner to supply it. The auditor decides if it is adequate.
The agent applies the policy version in force at each date. The auditor confirms.
The agent checks the delegation record. The auditor judges its validity.
The agent applies the entity's rule set. The local controller confirms.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with a few controls.
Test a small set.
Test whole periods.
Run regularly.
This shows how often invoices breach policy. Track the rate by test and by approver to see which control needs attention.
Quick answers to what people ask most about invoice audit.
Book a demoIt is a review of invoices to confirm they followed policy and are supported by proper approvals, contracts, POs and records.
It applies your audit tests to every invoice in scope, gathers evidence for failures and reports exceptions for people to review.
No. It extends coverage and prepares evidence, while auditors decide what the findings mean and what to do about them.
Yes, the same tests can run on pending invoices, so issues are found before payment. Findings are still reviewed by people.
Vendor impersonation detection is the identification of messages or invoices sent by someone pretending to be a genuine supplier, usually to redirect a payment.
→Invoice anomaly detection is the practice of finding invoices that look out of pattern, for example an unusual amount, a new item, an odd timing or a different format from the same supplier.
→Bank detail change verification is the control applied when an existing supplier asks to change its bank account, a common route for payment fraud.
→Duplicate payment prevention is the control that stops the same obligation from being paid twice, by checking proposed payments against past and pending payments before release.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.