Start the payment run
appse ai begins the payment workflow when it is started, so finance decides when incoming payment emails are processed. A run can be timed around the bank statement rather than firing on every arriving message.
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appse ai reads the payment advice PDFs in your inbox, matches each one to its SAP Business One record, and creates the payment draft for review.
Apps used in this template
About this template
A payment advice arrives as a PDF attached to an email, and the work it creates is entirely clerical: open it, read what was paid and against what, find the matching record in the ERP, and key a payment draft. Finance does this before the real decision, which is whether the draft is right. This template does the reading and the matching and leaves the judgement where it belongs, by stopping at a draft rather than a posting.
Key benefits
Inside the flow
appse ai retrieves the latest relevant emails from Microsoft Outlook and splits them so each is handled on its own. Filters narrow the run to qualifying emails, then to their attachments, then to the PDFs. Each PDF is decoded and checked against the processing conditions before OpenAI extracts the payment information. The extracted detail is structured, matched against a SAP Business One record, and used to create a payment draft.
appse ai begins the payment workflow when it is started, so finance decides when incoming payment emails are processed. A run can be timed around the bank statement rather than firing on every arriving message.
appse ai retrieves the latest relevant emails from Microsoft Outlook, bringing recent payment and document messages into the run. Nothing has to be forwarded into a processing folder first.
appse ai splits the retrieved collection so each message is evaluated and processed independently. One awkward email does not stall the rest of the batch.
appse ai applies a filter so only messages meeting the required conditions continue. General correspondence that happens to share the mailbox stays out of the payment process.
For each qualifying email, appse ai retrieves the attachments through Microsoft Outlook so the documents can be inspected automatically rather than opened by a person.
Where an email carries more than one attachment, appse ai separates them so each file is handled individually. A remittance sent alongside an unrelated document does not confuse the extraction.
appse ai filters the attachments so only the required PDF documents continue. Signature images and other incidental files are dropped before anything is decoded.
appse ai decodes the selected PDF content from its encoded format, preparing it for analysis. This is the step that turns a mail attachment into something the extraction can actually read.
appse ai confirms the document meets the required status or processing criteria before going further. Only qualifying documents reach extraction, which is what keeps the run focused on payment advice rather than every PDF in the mailbox.
appse ai passes the qualifying document to OpenAI, which reads it and extracts the payment information needed downstream. Payment advice arrives in each customer's own layout, so reading the document beats mapping a fixed template.
appse ai converts the OpenAI response into structured JSON, giving the extracted information a consistent shape. That consistency is what lets one process handle documents from every payer.
appse ai searches SAP Business One for the corresponding record using the extracted information, connecting the incoming payment document to the right transaction or account. The match is made before anything is created.
appse ai creates the payment draft in SAP Business One, ready for review. Stopping at a draft is deliberate: the clerical work is automated and the financial decision stays with a person.
Turn payment advice PDFs into matched SAP Business One payment drafts, and leave the posting decision with finance.
01
Payment documents become SAP Business One drafts without anyone downloading attachments, reading them and keying payment information.
02
Payment information is extracted and structured before it reaches the ERP, which removes the transposition mistakes repetitive keying produces.
03
Splitting and filtering let the workflow process many emails and attachments individually, so a busy day is handled the same as a quiet one.
04
Email, attachment, PDF and status checks mean only genuine payment documents reach the creation stage rather than everything in the mailbox.
05
Document analysis, record matching and draft creation collapse the gap between a payment advice arriving and it being ready for review.
06
A draft is created rather than a posted transaction, so automation handles the clerical work and a person still approves the money.
07
The draft arrives already linked to the SAP Business One record it belongs to, so review is a check rather than a search.
01
Payment documents become SAP Business One drafts without anyone downloading attachments, reading them and keying payment information.
02
Payment information is extracted and structured before it reaches the ERP, which removes the transposition mistakes repetitive keying produces.
03
Splitting and filtering let the workflow process many emails and attachments individually, so a busy day is handled the same as a quiet one.
04
Email, attachment, PDF and status checks mean only genuine payment documents reach the creation stage rather than everything in the mailbox.
05
Document analysis, record matching and draft creation collapse the gap between a payment advice arriving and it being ready for review.
06
A draft is created rather than a posted transaction, so automation handles the clerical work and a person still approves the money.
07
The draft arrives already linked to the SAP Business One record it belongs to, so review is a check rather than a search.
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