SkilliHireAustralia's AI Venture Builder

    Document & Text Automation

    Stop Paying People to Re-Key Documents

    Invoices, contracts, forms and email still arrive as unstructured text, and somebody has to read them. We build systems that extract what matters and push it straight into the software you already run.

    Where the Manual Work Actually Is

    Most document work is not one big process. It is a dozen small ones: keying supplier invoices into the accounting system, checking a contract for the clauses that matter, finding the one paragraph of a policy that answers a customer, routing an inbox to the right team. Each is too small to justify a product and too repetitive to keep doing by hand. Language models made all of them solvable at once — but only with the extraction pipeline, evaluation and human review that make the output safe to act on.

    Any format
    PDF, scan, email, image or form
    Into your systems
    Xero, MYOB, CRM, ERP or database
    Human review
    Built in wherever an error would cost you
    Your choice of region
    Including Australian data residency
    Use Cases

    Real-World Applications

    Accounts payable

    Invoice & Purchase Order Extraction

    Read supplier invoices, remittances and purchase orders in any layout, match them against orders already in your system, and post them to your accounting software. Anything ambiguous goes to a person instead of guessing.

    Accounts Payable
    Xero / MYOB
    Line-item matching
    Internal knowledge

    Ask Questions of Your Own Documents

    A search box over your contracts, policies, manuals and past projects that answers in sentences and cites the source document. Built with retrieval so answers come from your files, not from what the model guessed.

    RAG
    Semantic Search
    Source Citations
    Legal & procurement

    Contract & Compliance Review

    Flag the clauses that matter to you across a contract set — termination, indemnity, auto-renewal, payment terms — and surface what is missing. A first pass for the lawyer, not a replacement for one.

    Clause Detection
    Obligation Tracking
    Risk Flags
    Back office

    Form & Application Processing

    Turn submitted forms, applications and handwritten paperwork into validated records. Field-level confidence scores route the uncertain ones to a person and let the rest through.

    OCR
    Validation
    Confidence Routing
    Customer operations

    Inbox Triage & Routing

    Classify incoming email and support requests by intent and urgency, extract the details a person would have retyped, and route to the right team with the context already attached.

    Intent Detection
    Auto-Routing
    Escalation
    Operations & QA

    Reporting From Unstructured Sources

    Pull the numbers out of documents that were never designed to be a data source — lab reports, field notes, inspection sheets, supplier certificates — into something you can query and chart.

    Structured Output
    Reporting
    Data Pipelines
    Our Process

    How We Deliver

    1

    Bring Us Your Documents

    We work from your real files, including the messy ones. Sample quality decides what is achievable, so we establish that before quoting.

    2

    Agree What Correct Means

    We build a labelled test set from your documents. Without it, nobody can tell whether the system is working or has quietly stopped.

    3

    Build the Extraction Pipeline

    Ingestion, OCR where needed, extraction, validation against your business rules, and confidence scoring on every field.

    4

    Connect It to Your Systems

    Output lands in the software you already use. An extraction that ends in a spreadsheet has moved the manual work rather than removed it.

    5

    Put a Person in the Loop

    Low-confidence results route to review. Every correction becomes training data, so accuracy improves through use.

    6

    Monitor It in Production

    Document formats change and suppliers change templates. We track accuracy against your test set and alert when it drifts.

    Technology Stack

    Claude / GPT
    Language Models
    Retrieval (RAG)
    Grounding
    Vector Search
    Semantic Retrieval
    OCR & Layout Parsing
    Scanned Documents
    Structured Output
    Schema Enforcement
    Evaluation Harness
    Accuracy Monitoring
    Python / FastAPI
    Services
    Postgres & pgvector
    Storage
    Proven Results

    ROI & Impact

    Per field
    Confidence Scoring
    Every extracted value carries a confidence score, so you decide what needs a human and what does not.
    Measured
    Accuracy You Can Audit
    Accuracy is reported against a test set built from your own documents, not quoted from a benchmark.
    Yours
    Ownership
    You own the pipeline, the prompts and the extraction logic. No lock-in to us.
    Fixed scope
    Pilot First
    We start with one document type end to end, so you see real output before committing to the rest.

    Frequently Asked Questions

    Start With One Document Type

    Send us a sample of the documents your team keys in by hand. We will tell you honestly what is automatable, what is not, and what it would take — before anyone signs anything.

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