How Veyra Accounting processes 1,200 invoices a month with zero data entry
A bookkeeping firm was typing every client invoice into the ledger by hand. Now invoices are read, matched, and posted automatically, exceptions flagged.
1,200
invoices/month automated
99.2%
extraction accuracy
0
manual entries
5 wks
to production
Data entry was the whole job
Veyra's team hand-keyed 1,200 supplier invoices a month across dozens of client ledgers. It was slow, error-prone, and the bottleneck on taking new clients.
The work wasn't judgment — it was typing. That's exactly what should be automated first.
PER INVOICE · BEFORE
× 1,200 a month
Read, match, post — checked at every step
Incoming invoices hit a pipeline that extracts the data, matches it against the right purchase order, and posts it — routing anything uncertain to a human.
Teach it the documents
Trained extraction on Veyra's real invoice formats across their client base.
Match and post
Wired to each client ledger: line items are matched to POs and posted automatically.
Confidence gates
Anything below a confidence threshold — odd totals, missing POs — is flagged for review instead of posted.
> abs build --client veyra
Training extraction model…
✓︎ Invoice formats learned: 42
✓︎ Ledger + PO matching connected
✓︎ Confidence gate set: < 0.95 → review
Deployed to production. Day 33.
▮
The bottleneck became a background task
Invoices now post themselves. The team reviews only the small share the system flags, and Veyra took on new clients without adding headcount for data entry.
Data entry
full-time → exceptions only
Extraction accuracy
human error → 99.2%
Invoices/month
capped → 1,200+
More case studies
View all →Want a system like this one?
A 30-minute call, no pitch deck. We'll tell you honestly whether a system like this fits your business.