Industry · Finance

Close the books without the week.

Finance teams are measured on accuracy but spend their time on transcription. The transcription is the part a machine should be doing.

Invoices auto-matched
~90%
Month-end close
5 days → 1
To production
6–10 wks
On every entry
Full trail
What we build · Use cases

Four problems, four systems.

Each of these eats a real part of the week today. Each one is automatable now — not in some future roadmap.

Use case01

Invoice Processing

Read once, by a machine.

Problem

Invoices arrive as PDFs, photos, and email bodies. Someone keys them in, and a transposed digit surfaces three months later.

Solution

OCR extraction with validation against the purchase order, auto-matching what agrees and routing only the exceptions to a person.

Use case02

Reconciliation

Statements that reconcile themselves.

Problem

Bank statements are matched to ledger entries by hand in a spreadsheet, once a month, under time pressure.

Solution

Continuous matching against the ledger with a queue of only the genuinely ambiguous items — so close week stops being a week.

Use case03

Reporting

Numbers ready before they're asked for.

Problem

Monthly and quarterly reports are rebuilt by hand each cycle. By the time the board sees them, they describe the past.

Solution

Reports generated from the ledger on a schedule, with live dashboards for the figures people check between cycles.

Use case04

Risk & Anomalies

Catch it in the week, not the audit.

Problem

Duplicate payments, unusual vendors, and out-of-pattern amounts are found during the audit — long after the money left.

Solution

Anomaly scoring on every entry with early-warning alerts, so the question gets asked while the payment can still be stopped.

Related sectors

Adjacent operations.

Start here

Working in finance?

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