Invoice Automation
Invoice automation turns incoming invoices — structured EDI messages and document invoices alike — into one validated, structured record that your ERP can accept. This page covers the invoice itself: capture, extraction, normalisation, validation, routing, status and posting.
Invoice automation is the processing of invoice data. An invoice arrives in whatever form the supplier sends it, its fields are read, those fields are mapped to one internal structure, checked, and then handed to the finance system that needs them.
The distinction matters when scoping a project. Invoice automation is primarily about processing invoice data and documents. AP automation is the broader accounts-payable process that consumes that data — matching, approval, posting policy and payment preparation.
Processing the invoice itself — the document or message and the data inside it.
The accounts payable process that consumes validated invoice data.
Invoice automation is a prerequisite for AP automation, not a substitute for it.
Capture is the point at which an invoice enters a controlled process. Until then it is an email attachment or a message in a queue; after it, it is a tracked record.
Whatever the channel, the original document or message stays linked to the extracted data for review and audit.
Each captured invoice keeps its original document or message alongside the extracted data, so the source is always available for review and audit.
Document invoices carry their data in a visual layout. Two suppliers can describe the same commercial transaction with completely different positioning, wording and table structure, and both are valid invoices.
Drelo.ai is designed to read these without maintaining a per-vendor template, because template maintenance is what makes the long tail of suppliers uneconomic to automate.
Structured invoices arrive as defined messages — EDIFACT INVOIC, ANSI X12 810 and related formats — where the standard already defines the fields. Nothing has to be read from a layout, but the message still has to be interpreted correctly.
The point of handling EDI and documents in one platform is that the validation rules and ERP mapping behind them are defined once instead of twice.
Header and line-item values are read, each carrying a confidence signal.
Units, currencies, tax codes and supplier identifiers are aligned to one record shape.
Arithmetic, identity, completeness, duplicates and references are checked.
Clean records continue; anything that fails a check waits visibly for review.
Each stage is described in detail in the sections that follow.
Extraction produces field values, and each value carries a confidence signal. A confident extraction continues through the process; a weak or missing one is surfaced for confirmation rather than silently accepted.
Line-item extraction is the part that determines what is possible later. Header totals are enough to register a document, but matching, GL coding and spend analysis all need line-level data.
Normalisation is the step that makes invoices from different channels comparable. The same commercial fact — a quantity, a tax rate, a currency, a supplier — has to end up in the same field, in the same format, regardless of how it arrived.
Validation decides whether an invoice record can be trusted. Checks run against the record itself and against your reference data.
Routing sends each invoice where it can actually progress. Clean invoices continue toward posting. Anything that failed a check goes to the person or team who can resolve that specific failure, with the reason attached.
Routing rules are usually a mix of entity, supplier, amount and failure type — and they are worth revisiting after the first weeks of live data, when the real exception mix becomes visible.
Every invoice has a state: captured, extracted, validated, in exception, approved or posted. Having that state in one place answers the questions AP teams are asked daily — where is this invoice, why has it not been posted, and what is it waiting on.
The steps below describe how one invoice moves through processing. How many invoices clear without a person depends on your data quality and how strict your validation rules are.
The invoice is taken in from its channel and becomes a tracked record.
Header and line data are read and mapped to one internal shape.
Arithmetic, duplicates, references and required fields are checked.
Clean invoices continue; exceptions go to the person who can resolve them.
One invoice record moves through the lifecycle. Anything that fails a check is routed for review rather than posted.
An exception is an invoice that cannot safely continue. It is a normal part of the process, not a failure of it — the goal is for exceptions to be few, explained and quickly resolvable.
The end state of invoice automation is a validated record delivered to the ERP in the shape it expects, with the original document linked to it. Field mapping, entity and currency handling, and tax and GL determination are all part of that delivery.
Where the invoice sits inside the wider payables process — matching against purchase orders and receipts, approval routing, audit trail and SAP-specific considerations — is covered on the AP automation page.
Invoice automation is the processing of invoice documents and messages into validated, structured data that a finance system can use — capture, extraction, normalisation, validation, routing and posting. It is the data layer of accounts payable rather than the full payables process.
Invoice automation is about the invoice itself. AP automation is the broader accounts payable process around it, including matching against purchase orders, approval workflow and payment preparation. Invoice automation is a prerequisite for AP automation, not a substitute for it.
Drelo.ai is built to read invoices without maintaining a layout template for each vendor, which is what makes the long tail of suppliers workable. Field-level review during onboarding is still normal for unusual layouts.
Both. Line-item data is what makes matching and GL coding possible; header-only extraction limits you to basic document registration.
It is flagged rather than guessed. A low-confidence or incomplete extraction becomes an exception with the affected fields identified, so a person confirms the data instead of a wrong value reaching the ERP.
Structured EDI messages such as EDIFACT INVOIC and ANSI X12 810, and document invoices such as PDFs, scans and emailed attachments. Both are normalised into the same invoice record.
Send us the formats and channels you receive today, and we will show how they are captured, validated and posted.