AI that reads invoices, forms, contracts, and compliance documents. It extracts structured data, classifies document types, and pushes results into your systems. No manual data entry. No template configuration.
Handles PDFs, scanned images, and variable layouts. Connected to Xero, MYOB, CRM, and your business tools.
Documents come in. Invoices, forms, applications, compliance certificates, contracts. Someone opens each one, reads it, types the data into a system, checks for errors, and moves to the next one. This is what accounts payable teams, admin staff, and operations coordinators do for hours every day.
The data already exists. It is right there on the document. But it is locked in a PDF, a scanned image, or a paper form. Getting it into your system requires a human to read it and retype it. That is not knowledge work. It is transcription.
AI document processing reads the document, extracts the data, validates it, and pushes it into your system: Xero, MYOB, CRM, database, or custom software. Different layouts, different formats, different suppliers. The AI adapts without templates. Your team reviews exceptions, not routine.
If your staff are spending hours typing data from documents that already contain the data, you have a document processing problem.
An invoice arrives as a PDF. Someone opens it, reads the vendor name, looks up the ABN, types in line items, checks the total, enters it into Xero. Fifteen minutes per invoice. Multiply by 200 invoices a month. That is 50 hours of data entry, from documents that already contain the data.
One supplier sends a clean PDF invoice. Another sends a scanned image. A third sends a spreadsheet attachment. A fourth uses a completely different layout. Your team has to visually hunt for the right fields in every document because nothing is standardised.
Documents pile up during busy periods. Invoices wait days for processing. Applications queue for weeks. Forms sit in a tray. The backlog creates delays, missed deadlines, and follow-up emails asking "where is my application?"
Manual data entry has a typical error rate of 1-3%. A wrong digit in an invoice amount. A misspelled supplier name. A transposed account code. One error per 50 entries does not sound like much. Until it causes a payment to the wrong amount or a compliance issue.
Documents arrive by email attachment, web portal upload, scanned mail, fax, and cloud storage. Some are PDFs. Some are images. Some are Word documents. Collecting, normalising, and processing them requires manual effort at every step.
As document volume grows, you need more people to process them. But hiring, training, and managing document processing staff is expensive, and the work is often too repetitive to retain good people.
Tell us what documents you process, how many, and where the data needs to go. We will scope an automation with a clear price and timeline.
Five document processing solutions we build most often. Most businesses start with invoices and expand to other document types.
Invoices arrive by email or upload. The AI reads the document, regardless of layout, and extracts vendor name, ABN, invoice number, date, line items, tax, and total. It matches to a purchase order if one exists. It codes to the right account based on vendor history and content.
Handles PDFs, scanned images, photos of receipts, and email body invoices. Different vendors, different formats, different layouts. The AI adapts. No templates to configure for each supplier.
Extracted data pushed to Xero, MYOB, or your accounting system. Exceptions flagged for human review with the AI's best extraction highlighted. Typical processing: under 30 seconds per document.
Paper forms, PDF applications, scanned documents. The AI reads them, extracts the data, validates it against your requirements, and creates structured records in your system. Applications that took 20 minutes to process manually take seconds.
Customer registration forms, permit applications, insurance claims, membership sign-ups, compliance submissions. The AI handles handwritten text, checkboxes, signatures, and multi-page documents.
Missing fields flagged automatically. Incomplete applications queued for follow-up. Complete applications processed straight through to your database or CRM. The AI does the data entry; your team does the decision-making.
Documents arrive in a shared inbox or upload portal: invoices, contracts, applications, returns, complaints. The AI reads each document, classifies its type, and routes it to the correct workflow or team.
Not based on filename or folder. The AI reads the actual content and determines what type of document it is. An invoice goes to accounts payable. A contract goes to legal. A compliance document goes to the quality team.
Handles mixed document batches. A single email with three attachments of different types. Each document classified and routed individually. Full logging of every classification decision.
The AI reads contracts and extracts key terms: parties, dates, values, obligations, renewal clauses, termination conditions, and special terms. Structured data pushed to your contract management system or spreadsheet.
Particularly useful for businesses managing dozens or hundreds of contracts. Instead of a person reading each one, the AI extracts the data you need and flags anything unusual: non-standard clauses, missing dates, or terms that differ from your template.
Not legal advice. Data extraction and structuring. Your legal team reviews the flagged items and makes decisions. They just do not spend hours reading standard boilerplate anymore.
Compliance submissions, safety reports, audit documents, and regulatory filings processed automatically. The AI checks for completeness, validates required fields, cross-references against requirements, and flags non-compliance.
Every document checked against every rule, every time. No human fatigue. No missed checks. No "I assumed someone else reviewed it." The AI provides consistent, documented compliance checking at scale.
Full audit trail: what was checked, which rules were applied, what passed, and what was flagged. Compliance and audit teams get a dashboard view of submission quality and compliance rates.
We helped an Australian firm replace hours of manual data entry with an intelligent processing pipeline. Documents captured via mobile now flow straight into backend systems, accurately and automatically.
Read the full case studyNot template-based OCR. AI that reads, understands, and adapts to any document layout.
PDFs, scanned images, photos, Word docs, spreadsheets, and email bodies. Typed and handwritten text. Multi-page documents. The AI reads them all.
The AI adapts to different layouts. No per-supplier or per-form templates to configure. Send a new supplier's invoice and it works on the first try.
Every extracted field has a confidence score. High-confidence extractions are auto-processed. Low-confidence items are flagged for human review. You control the threshold.
Extracted data pushed to Xero, MYOB, HubSpot, Salesforce, SharePoint, databases, and custom systems. End-to-end: document in, data in your system.
Every document processed, every field extracted, every decision logged. What was read, what was uncertain, what was flagged. Complete traceability for compliance.
A clean review screen where your team checks flagged items. Original document alongside extracted data. Corrections fed back to improve future accuracy.
A person takes 10-15 minutes to process an invoice: open the document, find the fields, type the data, check the total, code the account. At 200 invoices a month, that is 40-50 hours of manual data entry.
The AI processes the same invoice in under 30 seconds. Read, extract, validate, push to accounting. Same accuracy. A fraction of the time. Your 50-hour monthly task becomes a 2-hour review of flagged exceptions.
For forms and applications, the speed improvement is even more dramatic. A multi-page application that takes 20 minutes to key in takes the AI about 10 seconds to extract and structure.
Manual data entry has a typical error rate of 1-3%. Transposed digits, wrong account codes, misspelled names. Not because your staff are careless. Humans make mistakes on repetitive work, especially after the 40th invoice.
AI extraction is consistent. The same field is extracted the same way every time. And the confidence scoring means uncertain extractions go to humans rather than being guessed. The overall error rate drops well below 1%.
For compliance-sensitive document processing (financial records, regulatory submissions, healthcare forms), the accuracy improvement alone justifies the investment.
Document processing is labour-intensive. As volume grows, you either hire more people or your existing team works overtime. Neither option scales well. Hiring takes months. Overtime burns people out.
AI document processing scales instantly. 100 documents or 10,000. Same speed, same accuracy, same cost per document. When volume spikes (end of financial year, compliance deadlines), the system handles it without overtime.
One professional services firm was spending $85,000 a year on a team of two processing documents. The AI handles 90% of the volume for under $15,000 a year. The team now handles exceptions and quality control.
End of month. End of quarter. End of financial year. Compliance deadline. Insurance renewal season. Every business has periods where document volume spikes and the team cannot keep up.
AI processing handles spikes the same as normal days. 500 invoices in one day? Processed by lunch. 200 applications in a week? Done by Tuesday. The system does not fatigue, take breaks, or call in sick.
For seasonal businesses (agriculture, hospitality, construction), the ability to handle document volume without temporary staff is a significant operational advantage.
Any business that processes documents manually benefits. These industries see the fastest payback.
Invoice processing from email to Xero or MYOB. Extract vendor, amounts, line items, code accounts, match POs, queue approvals. 15 minutes per invoice becomes 30 seconds.
Claims forms, supporting documents, and assessor reports processed automatically. Data extracted, validated, and entered into your claims management system.
Patient forms, referral letters, pathology reports, and insurance documents. Extract patient data, clinical details, and billing codes into your practice management system.
Subcontractor invoices, safety documents, permit applications, and compliance certificates. AI reads and validates against project requirements.
Applications, submissions, permits, and regulatory filings. AI checks completeness, validates against requirements, and creates structured records for processing.
Contracts, agreements, and legal correspondence. Extract key terms, parties, dates, and obligations. Flag non-standard clauses. Structure data for your contract management system.
Structured delivery focused on accuracy and integration with your existing systems.
Extracted data flows directly into the tools you already use.
Invoice data extracted and pushed directly into your accounting system. Vendor matched, account coded, approval routed. End-to-end invoice processing.
Application data, customer forms, and registration documents processed and records created in your CRM automatically.
Documents arriving by email attachment are automatically extracted and processed. No manual download and upload.
Documents in SharePoint, Google Drive, or Dropbox monitored and processed automatically when new files are added.
Extracted document data pushed to SQL databases, custom web apps, or industry-specific software via API.
Subcontractor invoices and compliance docs processed and matched to jobs in your field management system.
We were processing 300 supplier invoices a month manually. Two full-time people, 15 minutes per invoice. The AI now handles 90% of them. It reads the PDF, extracts the data, codes the account, pushes it to Xero. Our team checks the flagged ones. We reallocated one person to procurement entirely.
We write the code, design the interface, deploy the systems, and support them long-term. No subcontracting, no offshore handoffs.
You get a clear price before we start. No hourly billing that spirals, no surprise invoices at the end of the month.
We understand BAS, super, award rates, Australian privacy law, and the tools local businesses actually use: Xero, MYOB, ServiceM8, Tradify.
You talk to the people building your software. No account managers, no project managers relaying messages, no ticket queues.
You own everything: the code, the data, the hosting. No lock-in. No proprietary platforms you cannot leave.
OCR (Optical Character Recognition) converts images to text. It reads characters. AI document processing goes much further: it understands the document structure, identifies which text is a vendor name vs an invoice number vs a line item, validates data against business rules, and pushes structured data into your systems. OCR gives you raw text. AI gives you processed, validated, system-ready data.
Yes. That is the key advantage over template-based systems. The AI understands document structure, not just fixed positions. A new supplier with a different invoice layout will be processed on the first try. No template configuration needed.
The AI handles scanned documents, photos, and handwritten text. Quality affects accuracy. A clean scan extracts very accurately, while a blurry photo of a crumpled receipt will be less accurate. Handwritten text is supported but with lower confidence, meaning more items routed to human review.
For clean, typed documents, typically 92-97% field-level accuracy. For scanned or variable-quality documents, 85-93%. Items below your confidence threshold are routed to human review rather than processed with errors. Accuracy improves over time as the AI learns from corrections.
We provide a fixed-price quote after scoping. A focused solution for one document type (e.g. invoices) sits at the lower end of project size. A comprehensive solution handling multiple document types with system integrations is larger. Ongoing AI model usage is scoped during the build.
A focused single-document-type solution takes 4 to 6 weeks. Multi-document-type solutions with integrations take 6 to 10 weeks. We deliver incrementally. The highest-volume document type goes live first, then we add others.
Yes. Documents are processed in a secure, Australian-hosted environment. We do not retain document content beyond what is needed for processing. All data handling complies with Australian privacy legislation. For highly sensitive documents (medical, financial), we can deploy the processing within your own infrastructure.
Yes. Ongoing monitoring, accuracy reviews, and optimisation. We improve extraction accuracy based on real data, add new document types as needed, and ensure downstream integrations continue to work. Monthly performance reports on processing volume, accuracy, and exception rates.
Tell us which documents you process, what data you need, and where it needs to go. We will scope a solution with a clear price.
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What documents do you process? How many per month? Where does the data need to go? We will come back with a practical automation plan.
Prefer a quick chat? Call 0425 531 127. We answer the phone in Perth.
