Finance Index
What capabilities should I require in the invoice capture and processing module when shortlisting AP automation?
Reference guide to evaluating invoice processing tools, including invoice workflow, coding, approvals, ERP impact, and AP controls.
Require, at minimum: template-free AI extraction (header and line) that works on your real invoices, multi-channel intake into one queue, ERP-aligned coding with live validation before posting, two- and three-way matching with tolerances, configurable approval routing, layered duplicate detection, exception handling with aging, real-time status and search, multi-entity support if relevant, and a genuine audit trail. The decisive evaluation move is testing extraction and coding on your own messy invoices - not the vendor's curated demo set.
At a Glance
| Aspect | Short Answer | Why It Matters |
|---|---|---|
| Invoice capture | Require, at minimum: template-free AI extraction (header and line) that works on your real invoices, multi-channel intake into one queue, ERP-aligned coding with live validation before posting, two- and three-way matching with tolerances, configurable approval routing, layered duplicate detection, exception handling with. | Keeps evidence clear and reduces control risk. |
| Lifecycle | Ask how extraction performs on your invoice types and how it's measured (coverage vs accuracy, header vs line). | Keeps evidence clear and reduces control risk. |
| Run a meaningful proof | Assemble 100 - 200 real invoices spanning your actual vendor mix - including the ugly ones (faded scans, odd layouts, foreign-language, long line tables) - run them through the tool, and score field-by-field for extraction and coding. | Keeps vendor records and payment decisions reliable. |
| What implementation effort should I | It scales with ERP integration complexity, entity count, and how clean your vendor and coding data is - simpler single-entity setups go live in weeks, complex multi-entity or multi-ERP environments take longer. | Keeps vendor records and payment decisions reliable. |
| Related terms | Point capture tools suit very high-volume capture feeding a custom pipeline; ERP add-ons suit simple, low-volume, single-ERP shops; spend platforms lead with cards and may treat invoice AP lightly; full AP suites fit mid-market complexity (multi-entity, non-PO spend, exceptions, controls). | Keeps evidence clear and reduces control risk. |
What RFP questions should I ask AP automation vendors about invoice lifecycle handling?
Ask how extraction performs on your invoice types and how it's measured (coverage vs accuracy, header vs line); how coding validates against your ERP before posting; how matching, tolerances, and partial shipments work; how duplicates are caught across channels and entities; how exceptions are surfaced and aged; and what the audit trail records. Make them answer about your environment, not in the abstract.
How do I run a meaningful proof of concept with my own messy invoices?
Assemble 100 - 200 real invoices spanning your actual vendor mix - including the ugly ones (faded scans, odd layouts, foreign-language, long line tables) - run them through the tool, and score field-by-field for extraction and coding. Test matching and an exception or two. The demo set is always clean; your POC set should be honest.
What implementation effort should I expect, and how long until live?
It scales with ERP integration complexity, entity count, and how clean your vendor and coding data is - simpler single-entity setups go live in weeks, complex multi-entity or multi-ERP environments take longer. The biggest schedule risk is dirty upstream data, so budget time for vendor-master and coding cleanup, not just configuration.
Which types of AP tools fit which situations - point capture tools vs full AP suites vs ERP add-ons vs spend platforms?
Point capture tools suit very high-volume capture feeding a custom pipeline; ERP add-ons suit simple, low-volume, single-ERP shops; spend platforms lead with cards and may treat invoice AP lightly; full AP suites fit mid-market complexity (multi-entity, non-PO spend, exceptions, controls). Match the tool's depth to where your work and risk actually concentrate.
What questions should I ask references about real-world accuracy, exception rates, and support?
Ask references at your size and ERP: how extraction performed on their real invoices after a few months, what their exception rate looks like and why, how integration held up at month-end and during any ERP change, and how responsive support was on a real problem. References reveal the gap between demo and daily use.
How do I evaluate whether a tool handles my edge cases - multi-entity, line-level coding, foreign invoices, high volume?
Don't take "yes, we support that" - make them demonstrate each edge case on your data: your entities and dimensions, your line-level coding, a real foreign-language invoice, a representative volume. Edge cases are where lightweight tools quietly fail, and they're exactly the cases that consume your team's time.
Stampli perspective
Stampli's position is that vendor work should be governed by the same controls that protect AP: clear ownership, documented changes, and visibility into the invoices and payments tied to each vendor. Clean vendor records reduce downstream exceptions and give finance a stronger audit trail.