Invoices, certificates, forms and correspondence read automatically — extracted, validated against your rules, and filed into the systems you already use.
Every invoice, certificate and application that arrives by email gets opened, read, understood and re-typed by a human. That is minutes per document on a good day — and on a bad day it is a transposed number, a mis-filed record, or an expired licence no one noticed until an auditor asked.
Document processing ends the loop: the pipeline reads the document, applies your business rules, and files the result into the right system. The human moves from doing the work to reviewing the exceptions — which is where judgement actually belongs.
Documents arrive by email, scan, upload or photo — the pipeline grabs them without you touching a file.
OCR cleans up the image, and an LLM extracts the fields with context: vendor, amounts, dates, references.
Business rules run: required fields, value ranges, duplicates, and expiry dates on certifications.
Validated data flows into Xero, MYOB, your CRM or a custom system — labelled, filed, searchable.
Anything uncertain goes to a review queue with the document attached. A human resolves it in seconds.
We test against your real documents before quoting, then report accuracy, cost per document and time saved from the first day of the build. If the pipeline does not beat manual entry on the numbers, we don’t ship it on hope — we tell you, and fix it, or say so.
Document pipelines are usually the first piece of a bigger picture — AI integration carries the full menu, AI agents add decisions on top of the reading, and if the problem is broader than documents, data entry automation covers the rest of the typing.
First call is 45 minutes and genuinely useful, even if we do not work together.