FinTech · Invoice extraction

Invoice extraction for FinTech

For a FinTech team, invoice extraction is not data entry automation; it is the front half of a controlled payment. Supplier PDFs land in a bucket, extraction and arithmetic checks build the payable record, and a workflow holds every invoice at a named approval step — prepared by the machine, released by a person who is not the preparer — before the payment provider ever hears about it.

Object Buckets Model Inference Approval Workflows NoSQL Tables

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Domain Architecture for FinTech

The domain shape is a chain that must survive audit: the original PDF in the invoices bucket, header and line-item rows keyed by invoice id, validation results (lines sum to total, VAT pattern matches the supplier’s country, invoice number unseen before for this supplier), and then the approval. Duplicate detection is a keyed lookup against the supplier’s history, so the classic double-payment — same invoice, new email thread — flags itself at intake rather than at the bank.

Compliance, Data Residency & Governance

Invoices are retention-grade records: they sit in the project’s European zone with the approval trail attached — who approved, when, and what the page showed at that moment. Retention runs as a sweep over the retention field, skipping anything under legal hold, and writes a proof entry per deletion. When tax audit asks for a three-year-old invoice and its approval, the answer is one record chain inside one system, produced in minutes rather than assembled from an extraction vendor’s portal and an email archive.

Financial software lives under audit: who moved what, who approved it, and where the data sat while it happened. KERNSTACK’s contribution is structural rather than certificational — the project runs in one European zone on infrastructure the operator can name, every change arrives through a reviewed plan, and the trails auditors sample (payment events, approval decisions, export records) are tables in the same project instead of reconstructions across vendors. Statutory retention is expressed as fields and sweeps, so “kept for the required years, deletable after” is enforced by a scheduled job with a proof log.

Operational Impact on the Software Lifecycle Cloud

Operationally, accounts payable stops being a typing pool with a payment run attached. Clerks confirm the uncertain minority the machine flags; the arithmetic checks run on every invoice including the boring ones; and month-end loses its overtime spike because approval stopped depending on finding the right person near a printer. The control environment improves at the same time as the cost falls, which is the combination finance leadership actually asked for.

Key Domain Entities & Workflows

Primary FinTech Data Entities: accounts, ledger entries, payment events, supplier invoices, approval records
Governed Lifecycle Workflows: KYC document review, payout approval, invoice approval, statement export, period close
Integrated Platform Services: buckets, inference, workflows, tables

Compare this integrated blueprint with the general Invoice extraction reference architecture or explore our European Sovereign Cloud guarantees.

FinTech · Invoice extraction Flow

IngressSupplier PDF into bucketinvoice-extraction

StateLine items + validated totalsproject resource

ReviewHuman approves for paymentdeclared in stack.json

stack.json — FinTech Invoice extraction plan · deploy

{
  "resources": {
    "buckets": [{ "name": "supplier-invoices" }],
    "workers": [{ "name": "extract-invoice", "runtime": "python" }],
    "tables": [
      { "name": "payables", "key_name": "invoice_id", "key_type": "S", "indexes": [] },
      { "name": "payable-lines", "key_name": "invoice_id", "key_type": "S", "sortkey_name": "line_no", "sortkey_type": "N", "indexes": [] }
    ],
    "workflows": [{ "name": "approve-payable", "steps": [
      { "id": "extract", "worker": "extract-invoice" },
      { "id": "approve", "human": { "title": "Approve payable (preparer cannot approve)" } }
    ] }]
  }
}

Estimated Footprint · Team Plan ~1.200 credits / mo

Assumes 3k supplier invoices a month, extraction compute at 0.01 credits per GiB-second, a fifth of invoices reaching the approval step.

Metered from one shared balance across compute (0.01 cr/GiB-s), storage (0.04 cr/GB-hr), network (9.00 cr/GiB), and catalog models. See full credit reference →

FAQ

Frequently asked questions

How is segregation of duties enforced?

In the workflow: extraction and preparation are machine steps, the approval is a human step, and the pay instruction is only created downstream of an approved state. Who prepared and who approved are both in the record, so the control is demonstrable, not asserted.

What stops the same invoice being paid twice?

A keyed duplicate check at intake — supplier plus invoice number against the payables history — flags the second arrival before any approval. The genuine original and its approval remain the single path to payment.

How long are invoices kept?

For the statutory period your retention field declares, enforced by a scheduled sweep that skips legal holds and logs every deletion. The invoice, its extracted rows, and its approval age together in one project, in the European zone.

Connected in the Project Graph

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