AI vision reads the documents - incorporation papers, passports, workbooks, contracts. Deterministic rules validate every field, and a bot fills the statutory forms - up to 30-page government applications - pausing automatically at the steps that legally require a person.
Onboarding, compliance and statutory filing share the same hidden tax: a person reading a pile of documents and re-typing the contents into a form, field by field, without a mistake. It is slow, and it does not scale when volume spikes.
For a migration practice we worked with, the grind was literal: passport numbers and dates copied by hand into 30-page government forms, case after case, with lodgement deadlines that cannot slip - and one wrong country code or mismatched name triggering weeks of delay.
The same engine your team already trusts for the routine work - pointed at the way statutory forms actually behave.
Before a single field is filled, every file is scanned against the complete field catalogue of the real form, and you get a readiness report - so you only chase what genuinely needs chasing.
AI vision reads the documents once - incorporation papers, passports, proof of address, workbooks, contracts - and extracts the data into clean, structured form. Shared data (a family, a company) is entered once and reused.
Deterministic rules check the result: expired documents flagged, missing fields caught, thresholds enforced, names and dates reconciled across every source.
A bot drives the official form in a real browser, page by page, from the verified answers - saving before every step so a site outage can never wipe an hour of input.
Nothing is auto-submitted. The system fills, saves and waits for your OK - a clean final review of every page, then you lodge with confidence.
Each file comes back sorted into three states, so a case never stalls halfway through on a document nobody knew the form would ask for.
Data and documents already on file - verified, formatted and good to go straight into the form.
Conflicts and ambiguities - a name spelled differently across two passports, a date that doesn't reconcile - surfaced for a quick human call.
The exact documents and facts still to gather - each with a short note on why it's needed and where to find it.
Human-in-the-loop isn't a setting we added - it's how the platform is built. The expertise of an experienced form-filler, delivered as software, always under your control.
The system fills and saves, then waits. Every lodgement is yours to approve - explicitly, page by page.
Each page is saved before advancing, so a government-site outage can never wipe an hour of a client's input.
Every action is logged and every figure traceable - onshore in Australia, documents never leaving the country.
A modern AI-agent and browser-automation stack does the fiddly work - fast, consistent, and always under your control.
One agent navigates and reads the live form in a real browser; another reasons over the documents to detect gaps and inconsistencies.
Each form's structure - required fields, sub-forms, codes and formats - is packaged as a modular skill. New forms are added by authoring a new skill.
Robust control of a real browser session, filling by stable field identifiers across the multi-page sub-forms that trip people up.
Every page, field, dropdown value and conditional branch is documented, so auto-fill is precise and predictable.
An automated readiness pass compares each file against the form's full field catalogue - the engine behind the readiness report.
Sensitive documents stay onshore, a human approves anything that matters, and every action is logged. Built to the Privacy Act reforms.
If your process ends in a form filled from documents you already hold, we can automate the typing and keep you at the sign-off. The repetitive 90% runs itself; your people own the 10% that needs judgement.
Best for · onboarding, compliance, migration agents, KYC-heavy teams
We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.
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