SAP AP Automation
Most enterprise accounts-payable work eventually ends in SAP. Drelo.ai focuses on what happens before that point — receiving invoices from every channel, reading their data, validating it, preparing matching references and routing exceptions — and then hands a validated invoice record to SAP through the integration path agreed for that landscape.
In an SAP-centric organisation, the ERP is not one system among many — it is the system of record for vendors, purchase orders, goods receipts, tax determination and the financial documents themselves. Anything that touches accounts payable has to respect that.
This changes what invoice automation has to get right. It is not enough to read an invoice accurately. The data has to align with SAP master data, carry the references SAP needs, and arrive in a form the landscape accepts. Automation that ignores this simply moves the manual work from keying to correcting.
Invoices arrive from several channels, are processed into one validated record, and are handed to the SAP environment through the integration path agreed for that landscape.
Integration pattern depends on the SAP landscape. Drelo.ai is not presented as an SAP-certified product.
Invoices arrive as documents or as structured messages.
Header and line-item data is read from each invoice.
Data is checked against master data and business rules.
Invoice data is prepared against purchase order and receipt references.
Anything that fails a check is routed for human decision.
Validated data is handed to SAP through the agreed integration path.
Company codes, vendor master data, purchasing documents, tax determination and document-type rules as they are configured in your own landscape.
API, middleware, IDoc-style message exchange or file-based transfer — the pattern is chosen per landscape rather than assumed.
Anything that fails validation or matching stops before SAP with its reason recorded, instead of creating a document that has to be corrected later.
Described conceptually. No SAP certification or partner status is implied.
ECC landscapes are usually long-established, heavily customised and stable. The invoice data that reaches them has to fit conventions that were set years earlier: vendor number ranges, company code structures, tax codes, document types and custom fields that mean something specific to the business.
For invoice automation, this means the validation rules matter more than the extraction technology. An invoice that is read perfectly but carries a vendor reference the ECC system does not recognise is still an exception. Drelo.ai treats that as the normal case to design for, not an edge case.
S/4HANA landscapes tend to offer more modern integration options and, in many programmes, arrive together with a decision to simplify processes rather than carry old ones forward. That often makes the invoice intake layer part of a wider redesign discussion.
The practical implication is timing. If an S/4HANA migration is in progress, invoice automation scope is usually set against the target landscape rather than the one being retired, so that the integration built is the one that survives the migration.
Integration architecture depends on the SAP landscape and implementation requirements. The patterns below are the recognised options in SAP environments. They are described here so that scoping conversations start from shared vocabulary — not as a statement that every method is delivered out-of-the-box in every project.
SAP's long-established document-based message format. Widely used for inbound invoice data in ECC and still present in many S/4HANA landscapes, and often the path of least resistance where the organisation already operates IDoc interfaces.
Integration through service interfaces exposed by or for the SAP system. Attractive where near-real-time behaviour and clear request/response error handling are wanted, and where the landscape and security model support it.
An integration platform sits between Drelo.ai and SAP and owns routing, mapping and monitoring. Common in landscapes that already centralise integration, because it keeps interface governance in one place.
Structured files exchanged on an agreed schedule through an agreed transport. Still used where batch processing fits the business rhythm or where controls favour it over direct connections.
Which of these applies — and whether more than one is needed for different invoice channels or entities — is confirmed during scoping with the team that owns the SAP landscape. We would rather define that precisely than claim a universal connector.
Everything that determines the quality of what SAP receives happens before integration. This is the part Drelo.ai owns.
Header and line-item data is read from each invoice: supplier identity, invoice number and date, currency, references, tax amounts, totals, and the lines themselves with descriptions, quantities, unit prices and line totals. Document invoices and structured messages both end in the same internal shape.
The captured data is then checked rather than trusted. Arithmetic consistency, plausibility of tax amounts, recognisability of the supplier, presence of the references the landscape needs, and duplicate detection against what has already been processed.
For invoices that reference a purchase order, the invoice lines are prepared against the purchase order and receipt references so that quantity and price differences are visible as differences rather than discovered later. Two-way and three-way matching logic both start from this preparation.
An exception is not a failure of automation — it is automation doing its job by refusing to pass on data it cannot stand behind. What matters is that each exception states which check failed, on which invoice, and who needs to act.
Nothing that fails validation is handed to SAP as if it had passed. The invoice waits, visibly, with its reason attached.
SAP-centric organisations rarely receive invoices through one channel. Larger suppliers may send structured EDI messages, while the long tail sends PDFs by email and occasionally paper that gets scanned. Both routes have to land in the same place.
Drelo.ai treats channel as an intake detail rather than a separate process: structured messages are parsed and mapped, documents are captured and normalised, and both produce the same validated invoice record before integration. The structured side is covered in depth on the EDI invoice automation page, and the document side on the invoice automation page.
For each processed invoice, the source document or message, the captured data, the checks applied and their outcome, any exception raised and how it was resolved, and what was handed to SAP should all be traceable together. In an SAP-centric environment this is what makes the automated path defensible at audit rather than merely faster.
Scope is defined narrowly first, then widened. A first scope is typically one entity, one SAP target, one integration pattern and a defined set of suppliers and channels, with validation rules written against that entity's actual master data.
Timelines depend on landscape complexity, integration governance and how ready master data is. We would rather agree a scope and a sequence with you than quote a duration before that is known.
We do not present Drelo.ai as an SAP-certified product. It is an invoice processing layer that integrates with SAP landscapes through the integration method agreed for that landscape. If a certification requirement applies to your procurement process, raise it early so it can be addressed explicitly rather than assumed.
Both are common targets. The invoice processing side — intake, capture, validation, matching preparation and exception handling — is the same. What differs is the integration architecture, which depends on the release, the landscape and the implementation requirements.
That is a design decision, not a fixed answer. IDoc-based integration, API-based integration, integration through middleware and file-based integration are all recognised patterns in SAP landscapes. Which one is appropriate depends on the SAP landscape and implementation requirements, and it is confirmed during scoping rather than promised in advance.
Drelo.ai produces the validated invoice record and hands it to SAP through the agreed integration path. Whether creation happens automatically or after a review step is a configuration and governance decision made with your finance and SAP teams.
The intention is to work with the landscape you already run. Any change on the SAP side depends on the integration pattern chosen and is agreed with the team that owns the system.
Yes — both are treated as invoice sources and both are normalised into the same validated record before integration. The structured side is covered in more detail on the EDI invoice automation page.
Tell us which SAP release you run, how invoices arrive today and who owns integration. We will describe what a realistic first scope looks like.