Invoice to purchase order to receiving to payment.

A leading beverage manufacturer buried in manual invoice matching, paper trails and warehouse receiving errors.

Client: A beverage manufacturer
Sector: Manufacturing, finance operations

3 days to 15 mininvoice processing

Growth goal

Handle a growing invoice volume without adding people to matching and receiving.

Operating constraint

Every invoice was checked against purchase orders by hand, with paper trails and warehouse receiving errors feeding rework.

Measured result

Processing from three days to 15 minutes, with 94% of invoices matched automatically.

The full story

Baseline: Three days per invoice on average, repeated reconciliation, and receiving errors discovered late.
System: AI extracts and validates each invoice, deterministic matching against purchase orders and receipts, and exceptions routed to a reviewer before payment.
Controls: Nothing is paid without a match or a named approval. Every exception carries the evidence behind it.
Result: Three days to 15 minutes, 94% automatic. Finance keeps authority over every exception.

In depth

Growth needed finance to handle more invoices

A beverage manufacturer was winning more orders and pushing more volume through its production and distribution network. That growth showed up in finance as a rising stack of invoices to process, match and approve. The goal was clear. They wanted to handle a growing invoice volume without adding people to matching and receiving, and without losing control of what was paid and why. Every extra day in processing slowed reporting, clouded cash visibility and made it harder to respond to suppliers with confidence. The opportunity was there, but the operation underneath was reaching its limit.

Manual matching and paper trails hit their limit

Underneath the growth, the finance operation was strained by a slow, fragile process. Every invoice was checked against purchase orders by hand. Warehouse receiving errors fed rework. Paper trails and disconnected records meant people spent days hunting for the right document to confirm what had actually been ordered, delivered and billed. Baseline performance was three days per invoice on average, with repeated reconciliation and receiving errors discovered late. The team was working hard just to keep up, and every new supplier or product line increased the volume and complexity of the matching work. This was the cap on further growth.

A connected matching system across invoices and receipts

SIEL worked with the finance and operations teams to turn that fragile manual process into a connected, auditable workflow. AI now extracts and validates each invoice when it arrives. The system runs deterministic matching against purchase orders and receipts, using the data the company already holds rather than asking people to retype it. Where there is a clear match, the invoice flows through for payment without time spent on manual checks. Where something does not line up, the invoice is routed into a review queue with the supporting evidence attached so a person can make the call quickly and with context.

Approvals, exceptions and evidence stayed with finance

Control stayed with the finance team. Nothing is paid without a match or a named approval. The system records which rule or check each invoice passed, and when it did so. Every exception carries the evidence behind it, including the relevant parts of the purchase order and receipt history, so reviewers can see what the AI extracted and how it compared each field. That means people can override or approve with confidence, and can explain a decision later if they need to. Audit trails, approval chains and exception handling reflect the company’s existing authority structure, instead of replacing it.

Processing time collapsed and capacity grew

Once the connected workflow was live, processing time changed materially. Invoices that previously took around three days on average to work through the checks now complete in about fifteen minutes. The system automatically matches 94% of invoices against purchase orders and receipts. The finance team still handles the exceptions, but they do so with better information and far fewer manual steps. The company can now handle a higher invoice volume without adding people to matching and receiving, while keeping clear authority over every exception. For a similar manufacturer facing rising volumes, this is what building capacity to grow looks like in practice.

Bring us a workflow like this

Fixed fee, agreed before we start. A senior engineer replies within two business days.