Diagnosis Case 01 / 06 Accounts payable is half a person's full-time job
Two hundred supplier invoices a week. Every one of them keyed in by hand — supplier, ABN, invoice number, line items, GST, totals. The same person types the same fields, every day, into Xero, MYOB or NetSuite.
That is half a salary, every year, spent on a task software has been able to do for five years.
We deploy AI invoice capture that reads the supplier PDF, extracts the fields, matches to the right supplier and purchase order, and stages a draft bill in your accounting platform. The AP clerk reviews, not types. Volume that took a full week is processed in an afternoon.
Diagnosis Case 02 / 06 Every supplier sends invoices in a different format
Some suppliers send proper PDFs with structured tables. Others send screenshots of spreadsheets. Some email a body with the invoice typed in. Some attach scans of paper invoices with handwritten line items.
No template approach handles all of that — you end up back to manual entry for the messy ones.
We use modern AI extraction (Rossum-style platforms plus custom fine-tuning) that handles all of them. Confidence scores flag the few that need human review. The rest flow through to the accounting platform untouched.
Diagnosis Case 03 / 06 Product master data is messy across every system
Same product appears as five different SKUs across the inventory system, the POS, the online store and the supplier catalogue. Different descriptions. Different units of measure. Different categories. Reporting and reconciliation are unreliable as a result.
The cleanup keeps not happening because no one wants to spend three weeks on it.
We build AI-driven product parsing that ingests supplier catalogues, online stores, POS exports and inventory dumps — and clusters them into one clean product master. Brand, family, size, colour, variant, SKU all matched. Manual review of the edge cases takes hours, not weeks.
Diagnosis Case 04 / 06 Important documents are filed where nobody finds them
Contracts, SOPs, policy documents, maintenance manuals, training material — all in PDFs in SharePoint or Google Drive. When someone needs to know "what does the contract say about late delivery?" — they spend half an hour searching folders and skimming pages.
The knowledge is captured. It just is not accessible.
We build a RAG (retrieval-augmented generation) layer over your document library. Staff ask questions in plain English; the AI answers from the documents and shows the source paragraph. Onboarding, compliance and customer-facing teams stop drowning in document folders.
Diagnosis Case 05 / 06 Engineering estimates rely on extracting data from supplier PDFs by hand
Estimators receive supplier catalogues, technical specs, drawing schedules and quote sheets as PDFs. The estimating software needs the data as line items. So the estimator spends two days per estimate copying values from PDFs into the estimating tool.
The estimate quality depends on whether the estimator was tired on Friday afternoon.
We build extraction pipelines tuned to your specific document types — supplier price lists, drawing schedules, take-off sheets. Estimates that took two days build in two hours. The estimator focuses on judgement, not data entry.
Diagnosis Case 06 / 06 Approval workflows still happen in email threads
Supplier invoice arrives. AP forwards to the project manager for approval. PM is on site for three days. Invoice waits. Eventually it is approved (or not). The chain is in a 12-message email thread that nobody can audit later.
Accounts payable is held hostage to the slowest email reply.
We build structured approval workflows that route invoices to the right approver based on supplier, project or amount. Approvals happen in a portal or mobile app with one click. Audit trail captured automatically. Late-running approvals escalate before they hit the late-payment fee.
