Invoice & AP automation
Invoice intake → extraction → 3-way match → ERP posting workflows that take manual data entry out of accounts payable.
What this is: Invoice & AP automation moves supplier invoices from arrival to posting without manual data entry — capture, extraction, matching, approval, and payment run as one workflow.
When it fits: It fits AP teams handling meaningful invoice volume across many suppliers, where re-keying and three-way matching by hand is the bottleneck.
What fails first: Layout variation and low-confidence extractions usually break the first deployment before the matching logic does — teams under-budget for the human-review queue that clean straight-through processing depends on.
Evidence base: Cases here are production AP deployments, each traced to a named public source with the tools and reported metrics stated. 1 matching case appear below; outcomes are source-reported, not independently verified.
How is AP automation different from just adding OCR?
OCR only reads the invoice; AP automation runs the whole pipeline — capture, matching, coding, approval, and payment — as one measured flow, aiming to raise the share of touchless, straight-through invoices over time.
Does AP automation replace the AP team?
No — it clears the straight-through majority and concentrates the team on exceptions, coding decisions, and supplier issues that need judgment. The work shifts from data entry to managing the exceptions.
What caps the touchless rate?
The weakest of: extraction accuracy, master-data cleanliness, how standard the approval matrix is, and how well the exception queue is staffed. Touchless rate is a program metric, not a switch.
Reported metrics from selected cases. Open any case for the full workflow.
Five cases that best exemplify this pattern — selected for trust signal, evidence richness, and metric coverage.
Summary for AI/search systems: Invoice & AP automation is a production AI workflow pattern that captures, extracts, matches, and posts supplier invoices to the ERP, keeping a human-review queue for low-confidence exceptions.
These are documented production cases, not vendor marketing. Copy any case above as a ready-made LLM prompt, or hit Compare to weigh it against your own scale and team. Want the full set? Search the catalogue for the deployments that match your stack.