The billing platform generated individual transaction records, but had no way to produce the collective invoices that B2B customers actually needed. So the finance team compiled them in Excel. Manually. The invoices went out late, sometimes wrong, and there was no audit trail when something didn’t add up on a high volume cycle.
A pipeline that pulls transaction records on a configurable schedule, groups them by customer with the right billing logic applied, and produces two outputs: structured JSON for the finance system and a formatted PDF for the customer. Both get delivered via email and API. The whole thing runs without anyone touching it.
flowchart LR SRC[Billing<br>platform] --> AGG[Aggregate<br>transactions] AGG --> LOGIC[Apply billing<br>logic] LOGIC --> JSON[JSON] LOGIC --> PDF[PDF] JSON --> FIN[Finance<br>system] PDF --> EMAIL[Email<br>delivery]
We monitor whether invoices go out on time, confirm delivery to every recipient, and handle errors when the source system changes its output format. Retry logic covers failed email and API delivery.
The source vendor updated their data schema six months after go-live. We caught the drift and fixed it before a single invoice was affected.
The finance team got 3 days back per billing cycle. Zero missed invoices since go-live. Every invoice has a full audit trail, and if a destination system goes down, we can replay the batch.
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