Overview
Accounts payable is manual keying plus exception handling. This pipeline does the keying — supplier, dates, totals, line items, tax — validates it against the PO and supplier master, and posts the result.
The economics come from confidence routing: high-confidence fields post automatically, uncertain ones queue for a human. That is what makes it work at volume without becoming a rubber stamp.
Business value
Removes manual keying from AP and shortens the approval cycle, while keeping a human on the exceptions that matter.
Expected outcome
Structured, validated invoice records posted for approval, with only uncertain fields requiring human attention.
Problems it solves
- Manual keying is slow and error-prone at volume
- Every supplier uses a different invoice layout
- Mismatches against the PO are found late, after approval
- No audit trail linking a posted figure to the document it came from
Who it is for
- Finance and AP teams processing meaningful invoice volume
- Shared service centres
- Operations teams handling supplier documents
Benefits
- Handles layout variation that template matching cannot
- Validates against the PO before anything reaches approval
- Per-field confidence targets human effort where it matters
- Every figure traceable back to its position in the document
Limitations
- Unusual layouts still need examples to reach good accuracy
- Multi-page line-item tables that span breaks are the common failure
- Handwritten annotations are unreliable
- Regulated environments need an audit trail of every correction
Success metrics
- Straight-through processing rate
- Field-level accuracy on a sampled audit
- Average time from receipt to approval-ready
- Cost per invoice processed
Flow diagram
Every step in order, colour-coded by how much of it runs without a human.
Scroll to pan · use the controls to zoom, expand or export.
Steps
6 steps from trigger to result.
Classify the document
- Statements misclassified as invoices cause duplicate payments — this step is not optional
Extract the fields
Validate against PO and supplier
Validate this extracted invoice against the purchase order and supplier record.
Invoice: {{invoice_json}}
Purchase order: {{po_json}}
Supplier record: {{supplier_json}}
Check and report on:
1. Does line total + tax equal the stated total?
2. Do line items match the PO in description, quantity and price?
3. Do the supplier name and bank details match the master record exactly?
4. Is this invoice number already recorded for this supplier?
Return JSON with a pass/fail per check and a short reason for each failure. Flag ANY bank detail mismatch as critical.
- A changed bank detail is the classic invoice-fraud signal — always route it to a human, never auto-approve
Route by confidence
Human exception review
AI tools
Each tool records the role it plays and whether it is required.
Integrations
Services this workflow connects to, and how each authenticates.
Prompt library
Every prompt in the workflow, in chain order. Swap the highlighted placeholders for your own values.
Validate this extracted invoice against the purchase order and supplier record.
Invoice: {{invoice_json}}
Purchase order: {{po_json}}
Supplier record: {{supplier_json}}
Check and report on:
1. Does line total + tax equal the stated total?
2. Do line items match the PO in description, quantity and price?
3. Do the supplier name and bank details match the master record exactly?
4. Is this invoice number already recorded for this supplier?
Return JSON with a pass/fail per check and a short reason for each failure. Flag ANY bank detail mismatch as critical.
Prerequisites
Have these ready before you start.
Use cases
Accounts payable at volume
Process supplier invoices without a keying team.
Shorter approval cycleMulti-entity consolidation
Normalise invoices from many entities into one chart of accounts.
Consistent codingExpense document capture
Structure receipts and expense claims alongside invoices.
Faster reimbursementMetrics
Author estimates — treat them as a starting point and measure your own runs.
Accepts
Produces
FAQ
What straight-through rate is realistic?
How does this prevent invoice fraud?
Do we need a dedicated document AI service?
Reviews
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