Intelligent Invoice Validation.
Every invoice, every field, every check.
Before invoices reach matching or approval, they need to be valid on their own. Leah extracts every field accurately, screens for duplicates and fraud, verifies vendor identity, and proposes accurate GL coding. Clean invoices enter the AP queue. Bad ones never do.
Most AP teams trust their invoices. The data inside them rarely earns it.
OCR errors enter the AP queue
Off-the-shelf OCR misreads vendor names, line items, totals, and tax fields. Bad data flows downstream into matching, approvals, and the GL. AP staff spend hours correcting fields that should never have been wrong in the first place.
Duplicate invoices get paid
The same invoice arrives twice through email, vendor portal, and EDI. Slight variations in invoice number, formatting, or amount slip past rules-based matching. Industry studies put duplicate payment rates at 0.1 to 2 percent of AP spend.
Vendor identity is never validated
Bank account changes arrive in PDF letters and update remittance details without verification. Vendor master data drifts. Business email compromise scams succeed because no system checks whether the entity sending the invoice is the entity it claims to be.
GL coding mistakes flow into reporting
Coders pick the closest GL account from memory. Cost centers get assigned by habit. Errors are discovered at month-end close when reclassification is painful. Management reports reflect coding noise, not real spending behavior.
Fraud patterns invisible until anomaly
Splitting invoices below approval thresholds, round-dollar amounts, off-hours submissions, never-before-seen vendors. The signals exist in the data but no analyst is watching the full population, so fraud is found in audit, not in flow.
AP staffing costs scale with volume
Every additional thousand invoices a month means another headcount, another shift, another offshore team. The work is mostly mechanical validation. Costs rise linearly with the business while the activity itself adds no commercial value.
Every field, read accurately the first time
Leah reads invoices in any format and extracts every field with audit-grade accuracy. Header data, line items, taxes, payment terms, remittance details, and embedded references. Confidence scores accompany every field, so AP staff only see the items that genuinely need a second look.
“Our previous OCR solution required AP staff to correct one in four invoices. Leah cut that to one in thirty, and the corrections it does ask for are real ambiguities, not bad reads.”
Director of Accounts Payable, Industrial Distributor
Five steps from inbox to clean, coded invoice
Leah plugs into the channels you already use and the ERP you already run. Validation happens before the AP queue, not inside it. Once the invoice is matched against contracts and POs, see 4-Way Invoice Matching.
Receive
Leah ingests invoices from every channel: email inboxes, vendor portals, EDI, and document uploads. Format normalization happens automatically. No vendor needs to change how they send.
Extract Fields
Every field is extracted with a confidence score. Header, line items, taxes, payment terms, and remittance details flow into a structured invoice record ready for validation.
Validate Identity
Vendor identity is reconciled against the vendor master. Bank details, tax IDs, and sender domains are cross-checked. Mismatches and changes route to verification before the invoice progresses.
Screen Patterns
The invoice is evaluated against the full population for duplicates, threshold splits, round-dollar anomalies, off-hours submissions, and new-vendor signals. Suspicious items surface with reasoning.
Code & Route
GL accounts, cost centers, and approval routing are proposed based on historical treatment and policy. AP staff approve a coded, validated invoice. Clean records flow to the ERP.
Got Questions? Get Answers.
Intelligent Invoice Validation is the layer that runs before reconciliation. It makes sure each invoice is itself valid: clean field extraction, no duplicates, vendor identity confirmed, fraud signals screened, and accurate GL coding. 4-Way Invoicing then matches the validated invoice against the contract, PO, and goods receipt. The two work together, with validation feeding clean inputs into matching.
Most OCR and rules-based AP tools are good at structured invoices from a small set of vendors but degrade quickly on real-world variety. Leah is a continuous, AI-driven layer that handles every format, scores its own confidence, learns from coder behavior, and screens for fraud and duplicates across the full population. It augments AP automation rather than replacing it, plugging into the same ERP and AP system.
Rules-based matching looks for exact invoice numbers and amounts. Duplicates in real AP queues rarely look exactly the same: invoice numbers get reformatted, dates shift by a day, line items get rounded, and the same invoice arrives via three channels. Leah evaluates each invoice semantically against the full historical payment file and the live queue, surfacing exact, near, and multi-channel duplicates with a reasoned explanation.
Threshold splitting (invoices kept just below approval limits), round-dollar patterns, off-hours submissions, sudden volume changes from a vendor, never-before-seen vendor activity, and any change to bank or remittance details. Each signal includes the underlying evidence and a recommended next step. Investigation stays with your team. Leah does the watching.
Leah learns from how vendors and line item patterns have historically been coded in your ERP. As coders accept, modify, or override proposed coding, the model updates. Chart of accounts changes are picked up automatically. Coders see the proposed account, the cost center, and the reasoning for each, with confidence scores so review effort goes where it actually matters.
Yes. Leah is deployed by industrial, healthcare, retail, and engineering services customers with strict data security requirements. Invoice and vendor data does not train Leah's underlying models. Customer data is encrypted in transit and at rest. SOC 2 Type II, GDPR, CCPA, HIPAA-ready, and ISO 27001 aligned. Private instance deployment is available for customers with strict data isolation requirements.
