Finance & Accounting · Document & Finance
Invoices that post themselves.

How do accountancy firms move qualified staff off data entry?
Short answer
Extract and validate client documents automatically, posting straight through only where every reconciliation check passes, and routing the rest to a triaged exception queue. The metric that matters is straight-through rate, not extraction accuracy — a wrong figure caught by a validation rule never reaches the ledger.
The situation
A concrete version of this.
An eleven-person practice handling roughly 1,800 monthly client documents arriving as photographs, scans, portal exports and email attachments.
- Qualified accountants open, sort and transcribe documents line by line
- Cross-checking against purchase orders happens when time allows
- Work bunches against filing deadlines, creating overtime peaks
- Advisory conversations are postponed to next month, every month
Why it matters
The firm's fee income is moving toward advisory while its capacity is consumed by processing — and the processing is what gets automated from underneath the profession first.
What gets built
Three things, in this order.
- 01
Extraction tuned to your client base
Generic OCR fails on exactly the formats that matter most. We tune against your real corpus, including the client who still sends a carrier bag of receipts.
- 02
Validation before posting
Totals reconcile, tax is checked, the purchase order matches, the supplier exists, the amount sits within tolerance. Nothing reaches the ledger unchecked.
- 03
Exception queue triaged by reason
Failures route by cause and severity with the disputed field highlighted, so resolution takes seconds rather than reopening the document.
The metric
Straight-through rate — share posting with no human touch
Extraction accuracy is a vendor metric. Straight-through rate is the one that converts directly into recovered capacity, and it can be worked upward month on month.
The boundary
What stays with a person
No filing is submitted unattended. Payment release always requires human authorisation. Client data is excluded from model training in writing.
Related
More for Finance & Accounting.
Working example
AI Finance Operations
A working system for this sector. Open the console and follow one record all the way through it.
Open AI Finance OperationsYou already know which process is bleeding.
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