AI-Powered Data Entry Automation

Accuracy depends on the document type and quality, so we measure it on a sample of your own documents during parallel running before anything goes live. Structured documents like invoices, receipts and standard forms extract more reliably than semi-structured documents like contracts or correspondence, and confidence scoring flags low-certainty extractions for human review. The system improves continuously as it processes more of your specific document types, learning your formats, supplier naming conventions, and field patterns.

We process virtually any business document: invoices, purchase orders, receipts, delivery dockets, timesheets, application forms, contracts, correspondence, medical records, insurance claims, bank statements, utility bills, government forms, and handwritten notes. The AI handles PDFs, scanned images, photos taken on mobile phones, email attachments, and faxed documents. Multi-page documents are processed as a single unit with cross-page data extraction. We support documents in English and over 40 other languages for businesses processing international paperwork.

We integrate directly with Xero, MYOB, QuickBooks, and Reckon via their official APIs. Extracted invoice data (supplier name, ABN, amounts, GST, line items, due date) maps to your chart of accounts and posts as draft bills or expenses for review. Bank statement data reconciles against existing transactions. For enterprise accounting systems like SAP or Oracle, we use standard integration protocols. The AI learns your account code mapping over time, so fewer transactions need a person to assign the account code.

Yes, with caveats on accuracy. Our OCR engine reads clear handwriting, using contextual understanding to improve word-level accuracy. For poor-quality scans, the system applies image enhancement (deskewing, contrast adjustment, noise reduction) before extraction. Heavily degraded documents or illegible handwriting are flagged for human review rather than guessing. We provide confidence scores for every extracted field, so you know exactly which data points may need verification.

Every extracted data point receives a confidence score. Fields below your configured threshold (typically 90-95%) are routed to a human review queue with the original document displayed alongside the extracted data for quick verification. The system also validates data against business rules: ABN format checks, GST calculation verification, duplicate invoice detection, purchase order matching, and date logic validation. Exception handling is configurable. High-confidence, rule-validated extractions can be processed straight through, while anything flagged joins the review queue.

It depends on your volumes and costs. For example, if your team keys 2,000 invoices a month at 5 minutes each, that is about 167 hours a month; if automation leaves 10% of them for a 2-minute human review, the review takes about 7 hours. Value the hours saved at your own staff cost and compare the result with the plan cost on our pricing page, or use the calculators on this site with your own figures.