06 · AI automation

Stop re-keying. Start routing.

Invoices, forms, applications and emails arrive as unstructured text. We build AI automation that reads them, extracts what matters into clean structured data, and routes each one — with uncertain cases sent to a person.

Illustrative extraction: an invoice is read and the supplier, ABN, invoice number, due date, total and purchase order number are extracted into structured JSON, validated, and routed to the accounts payable queue.

What we automate

The paperwork between your systems.

EXTRACT

Document extraction

Invoices, forms, certificates and contracts turned into validated, structured records.

CLASSIFY

Classification

Inbound email, tickets and documents sorted by type, urgency and owner.

ROUTE

Workflow routing

Records pushed to the right queue or system, with the evidence attached.

SUMMARISE

Summaries

Long submissions and threads condensed into the fields a reviewer needs.

Built to be trusted

Automation that knows when to ask.

The goal isn’t zero human involvement — it’s putting people on the cases that need judgement and letting the rest flow.

  • Schema validation — every extraction is checked against required fields, formats and business rules.
  • Confidence thresholds — low-confidence fields go to a review queue with the source highlighted.
  • Cross-checks — values matched against systems of record, such as purchase orders or customer records.
  • Exception handling — clear paths for duplicates, unreadable files and unexpected document types.
  • Measured accuracy — field-level accuracy tracked against a labelled sample, before and after launch.

FAQ

Automation questions.

Does it work on scanned documents?

Yes. We combine OCR with layout-aware models. Very poor scans are routed for review rather than guessed.

Can it write into our finance or case system?

Yes, through the system’s API or import process, using a dedicated account with only the permissions the workflow needs.

How is this different from traditional OCR templates?

Template tools break when layouts change. Language-model extraction handles new layouts and free text, while validation keeps the output as strict as a template.

Which documents eat your team’s week?

Send us a description of the document types and volumes. We’ll outline an automation and how we’d measure its accuracy.