AP Automation
AP automation is the use of software to move an invoice from arrival to ERP posting without manual re-keying. Drelo.ai handles the document and data side of that process — intake, capture, validation, matching and ERP integration — so your AP team spends its time on exceptions and approvals instead of typing.
AP automation is the automation of the accounts payable process: receiving supplier invoices, extracting their data, checking that data against your own records, matching it to purchase orders and receipts, routing anything unusual for human decision, and posting the result into the ERP with an audit trail behind it.
It is a process discipline, not a single feature. Three things decide whether it works in an enterprise: whether every intake channel is covered, whether validation is strict enough that posted data can be trusted, and whether exceptions reach the right person quickly.
Drelo.ai is positioned between your suppliers and your ERP. It takes in invoices from every channel, produces one validated invoice record per document or message, and hands that record to the ERP. Approval policy, payment execution and banking stay where they already live — typically in the ERP or treasury system.
Between invoice arrival and ERP posting. It owns intake, capture, validation, matching preparation and integration.
Approval authority, payment runs and bank execution remain with your finance systems and policies.
Judgement: price disputes, unexpected quantities, new vendors, blocked invoices, approvals.
Structured, checked data in the shape the ERP expects, with the source document linked to it.
The sequence below is the shape of the process. How much of each step runs without a person depends on your rules, your data quality and the scope you configure — a strict validation policy deliberately sends more invoices to review, and that is usually the correct trade-off early in a rollout.
Header and line-item fields are read from the document or message.
Checks against vendor master, PO data, tax and GL rules.
Two-way or three-way matching against purchase orders and receipts.
Exceptions and approvals handled by the people who own them.
Each stage hands a single invoice record to the next. Anything that fails a check stops at review instead of continuing to the ERP.
Intake is where most AP automation projects succeed or fail. If a channel is not covered, the invoices arriving through it stay manual, and the reported benefit never materialises.
Structured invoices arrive as machine-readable messages — EDIFACT INVOIC, ANSI X12 810 and similar formats — where fields are already defined by the standard. The work here is mapping, segment interpretation and partner-specific conventions rather than reading a layout.
PDF invoices, scans and emailed documents carry the same commercial content in a visual layout that differs per supplier. These are read field by field — invoice number, dates, vendor identifiers, tax amounts, totals and line items — and normalised into the same record shape as the structured messages.
Each captured invoice is checked before anything is passed on. A failing check produces an exception instead of a posting.
The invoice is compared with what was ordered and, where applicable, what was received, within agreed tolerances.
Exceptions carry their failure reason to a reviewer. Approval authority stays with your policy and your finance systems.
The sections below describe each of these steps in detail.
Validation is the step that makes automation safe. Each captured invoice is checked before anything is passed on, and a failing check produces an exception rather than a posting.
Exceptions are held with the reason recorded, so the reviewer sees what failed rather than rechecking the whole document. Common causes are price or quantity differences against the PO, an unknown vendor, a missing PO reference, or an invoice that duplicates one already received.
Matching compares the invoice against what was ordered and, where applicable, what was received. Two-way matching aligns the invoice with the purchase order. Three-way matching adds the goods receipt. Tolerances define how much difference is acceptable before an invoice is treated as an exception.
Matching quality depends on your own data as much as on the software: PO references on supplier invoices, consistent unit handling, and a clean vendor master all raise the share of invoices that clear without review.
Approval is an organisational rule, not a document problem. Drelo.ai prepares the invoice so that an approval decision can be made on validated data, and routes the cases that require a decision. Thresholds, delegation and segregation of duties remain governed by your policy and the systems that enforce it.
The output of AP automation is only useful if the ERP accepts it. Drelo.ai targets the ERP you already run rather than asking you to change systems, delivering the fields, codes and document structure that ERP expects for an incoming invoice.
Invoice data is prepared in the vocabulary of your own landscape — company codes, vendor master data, document types and account determination.
Structured EDI messages and PDF or scanned invoices are treated as inputs to one invoice record, so rules and mapping are defined once.
Every invoice keeps its history: what arrived, what was captured, which checks ran, which failed, who acted and what was posted.
SAP landscapes carry their own vocabulary and constraints: company codes, vendor master data, purchasing documents, tax determination and document-type rules. Drelo.ai is built by a team whose background is SAP and EDI integration work, so invoice data is prepared in SAP terms rather than translated at the last moment.
Practically, that means the mapping conversation happens in your own SAP configuration — the company codes, document types and account determination your team already maintains.
Most enterprises receive both. Large strategic suppliers send EDI; the long tail sends PDFs. Running two disconnected processes for the two channels creates duplicate exception queues and inconsistent reporting.
Drelo.ai treats both channels as inputs to one invoice record, so validation rules, exception handling and ERP mapping are defined once. The channel-level mechanics are covered in more depth on the invoice automation page.
Every invoice keeps its history: what arrived, what was captured, which checks ran, which failed, who acted, and what was posted. That record is what makes the process defensible at audit, and it is also what makes a rollout measurable — you can see where invoices actually stop.
A realistic rollout narrows scope first, then widens it once the exception rate is understood.
Timelines depend on how clean your vendor and PO data is and how many approval paths exist. Data cleanup is normal project work, not a sign the approach is wrong.
No. AP automation covers the whole accounts payable process — intake, validation, matching, approval, posting and audit trail. Invoice automation is the narrower part that turns invoice documents and EDI messages into clean, structured data. Most organisations start with invoice automation and extend outward.
No. It removes repetitive keying and reconciliation work, and leaves judgement work — disputes, unusual pricing, approval decisions, vendor relationships — with the AP team. Exceptions are routed to people rather than hidden.
No. Drelo.ai is designed to sit in front of the ERP you already run and deliver validated data into it, including SAP environments and other major ERPs.
They become exceptions with the failing check recorded, and are routed for review instead of being posted. Nothing reaches the ERP until the exception is resolved.
Scope drives the answer. A typical first scope — one entity, one ERP target, a defined set of vendors and channels — is planned in weeks rather than months. Multi-entity or multi-ERP rollouts are phased.
Yes. Structured EDI messages such as EDIFACT INVOIC and ANSI X12 810 and document invoices such as PDFs and scans both end up in the same validated invoice record. See the invoice-level detail on the invoice automation page.
Tell us which channels, ERP and entities are in scope, and we will walk through where Drelo.ai fits.