Stop reading invoices, checking documents, and inspecting by eye alone.
Computer vision and document intelligence: OCR, classification, verification flows, image analysis, and visual inspection.
If several of these are true for your business, this service is usually where the fastest return sits.
Not every element applies to every business. We scope to what your operations need, and say so when something is not worth doing.
Invoices, purchase orders, delivery notes, contracts, and forms read end to end — including line items, tables, stamps, and handwriting — with confidence scores on every field.
Mixed batches sorted automatically by type, then routed to the right process and filed against the right job — no manual sorting step at the front.
Identity and compliance checks that compare a document against a record, detect tampering, and flag mismatches for review rather than approving on trust.
Camera-based inspection for defects, counts, presence/absence, and dimensional checks — consistent across every shift, with images retained as evidence.
Proof of delivery, site condition, damage claims, and asset checks captured on a phone, automatically read, tagged, geo-stamped, and attached to the right record.
Historic scans and registers turned into searchable, indexed records so information that was effectively lost becomes usable again.
Indicative ranges from comparable engagements. Your assessment produces numbers for your own operations.
Every engagement ends with artefacts your team can use, extend, and operate without us. Documentation and handover are part of the scope, not an optional extra.
Each phase is independently valuable. You can pause after any of them and still be better off than when you started.
A few hundred of your actual documents — the crumpled, photographed, badly-lit ones included. Clean samples produce misleading accuracy.
Every field named, typed, and given validation rules, plus the business rules for what counts as a valid document.
Run the pipeline against a labelled set and report per-field accuracy honestly, so thresholds are set on evidence.
Ingestion, extraction, validation, review queue, and write-back into your systems — the full production path.
Everything reviewed at first; the automatic-processing threshold rises as measured accuracy justifies it.
Chosen for how well it is supported and how easily your team can take it on — not for how impressive it sounds.
The sectors where we most often deliver this work, and where the payback is usually fastest.
No — that is precisely why we use modern multimodal models rather than template-based OCR. There is no per-supplier template to maintain, and a new supplier's first invoice is handled without any configuration.
Common, and handled. We deliberately include poor-quality samples in the benchmark set so the reported accuracy reflects real conditions rather than a flatbed scan.
Printed and reasonably neat handwriting, yes, with good accuracy. Difficult handwriting gets lower confidence and routes to review, which is the correct behaviour — silent guessing on a handwritten quantity is worse than asking.
Confidence thresholds and validation rules. Totals must reconcile against line items, GST numbers must be well-formed, dates must be plausible. Anything failing a rule or falling below the confidence threshold goes to a person, and every automatic decision is auditable.
Hand the repetitive decisions to a system that never gets tired.
Get the work out of registers, WhatsApp threads, and spreadsheets — and onto a system.
Every call answered, qualified, and logged — including the ones after hours.
Start with a short conversation. We will tell you honestly whether this is the right place to begin, or whether something else pays back faster.