Duplicate payments
Exact and near-duplicate invoices across vendor codes, amount tolerances, reversed digits, and date windows — including duplicates split across partial payments.
RISK COVERAGE
Accounts Payable Risk Analytics
Find payment leakage and invoice fraud across the full accounts payable ledger, with supporting evidence attached to every finding.
Accounts payable is where enterprises lose money quietly. A duplicate invoice clears because the vendor code differs by one character. An overpayment sits inside a tolerance nobody reviews. A three-way match exception is approved to close the period. None of it looks like fraud, and all of it leaves the building as cash.
foretale.ai runs accounts payable analytics across the complete ledger rather than a judgement sample. It reads your invoice, purchase order, goods receipt, vendor master, and payment data, learns how those records relate in your ERP, and tests every transaction against the scenarios below.
WHAT WE DETECT
Risks tested in this domain
Invoice fraud
Fictitious suppliers, altered bank details, invoices with no purchase order, and billing patterns that do not match the goods or services received.
Invoice overpayments
Payments above the invoiced or ordered amount, unapplied credit notes, missed early-payment discounts, and currency or tax miscalculations.
Payment leakage
Duplicate remittances, payments to inactive or blocked vendors, unclaimed rebates, and amounts paid outside contracted price or term.
Three-way match exceptions
Quantity and value gaps between purchase order, goods receipt, and invoice, including receipts posted after payment and matches forced through manual override.
Manual and bypassed controls
Invoices entered and approved by the same user, approvals below threshold on split invoices, and postings made outside normal business hours.
HOW IT RUNS
Understand → Plan → Execute → Explain
foretale.ai maps your data and relationships, plans the analytics for this domain, tests the full population, and returns findings with evidence attached. Your team keeps every judgement.
DATA USED
What we need from your systems
- Invoice header and line items
- Purchase orders and line-level releases
- Goods receipts and service entry sheets
- Vendor master, including bank and tax attributes
- Payment and clearing documents
- Approval workflow and user change logs
Related reading
Frequently asked questions
What analytics detect duplicate payments in accounts payable?
Effective duplicate payment detection needs more than one rule. It requires exact-match tests, fuzzy matching on invoice numbers and amounts, cross-vendor matching on shared bank accounts and tax identifiers, partial and split payment tests, and credit note reconciliation. A single same-vendor, same-invoice, same-amount rule finds only exact duplicates, which is the category your ERP usually blocks already.
How is this different from the duplicate invoice check in our ERP?
ERP duplicate checks are preventive controls that compare a new invoice against a narrow set of fields at the moment of entry. They do not catch near-duplicates, duplicates across different vendor codes for the same underlying supplier, or duplicates that clear through partial payments. foretale.ai tests the posted ledger after the fact, across all of those patterns at once.
Do we need to build a data model before accounts payable analytics can run?
No. foretale.ai maps the relationships between your invoice, purchase order, receipt, vendor, and payment tables automatically as part of its Understand step, so teams do not need to build or maintain a manual data model first.
Can findings be used as audit evidence?
Yes. Every finding carries the underlying transactions, the logic that flagged it, and the data lineage behind it, so reviewers can trace how a conclusion was reached and attach it to audit documentation.
NEXT STEP
See it on your data.
Request a focused walkthrough—usually within one business day.