Document processing.
One pattern, many skins.

Audits pay-category mappings against ATO STP Phase 2 income types and flags generic or high-risk codes before lodgement — heading off correction events and audits.

Turns a shift's scattered progress and incident notes into a one-page ISBAR-structured handover — vitals, meds, intake, mobility, falls, mood — with the source note quoted on every line and clinical risks flagged for the RN.

Turns informal field spray notes into a structured, APVMA-compliant chemical-application log — date, block, product, batch, rate, wind, operator, withholding period — quoting the source note and flagging any gap rather than inferring it.

Watches the driver logs, telematics, and maintenance records where Chain of Responsibility evidence lands, flags a fatigue, mass, or work-hour breach before an inspection finds it, and assembles an audit-ready evidence pack against the Heavy Vehicle National Law — surfacing exceptions for the compliance manager, never signing off on its own.

Watches the folders where spray diaries, water tests, and training certificates land, flags anything missing or expired, and assembles a Freshcare- or HARPS-ready evidence pack against the standard's checklist.

Turns a document-heavy tender pack into a clause-by-clause compliance matrix — requirement, source clause and page, owner, evidence required, and the risk if it is missed — so the bid/no-bid call is made with the whole picture, not a partial read under deadline.

Reads each inbound Freedom of Information request, extracts the reference, applicant, date and scope, routes it to the owning department and starts the 30-day statutory clock, then flags requests touching third-party personal affairs for exemption review before the officer signs anything.

Reads prior-study transcripts, extracts course, grade and credit line by line, and proposes credit equivalencies against your unit list — for a registrar to confirm, not the machine to finalise.

Turns thousands of open-ended course-evaluation comments into themes with counts and verbatim quotes, separating strengths from friction — and marks any thin theme as low-confidence rather than overstating it.

Reads inbound customer orders arriving as email text and varied PDFs, extracts them into ERP-ready fields, and flags any mismatch against your item master — landing a clean, reviewable record instead of a re-keyed one.

Assembles a lot's genealogy — receiving, production, and shipment records — into a traceability pack on demand, listing the records and fields that are missing, so a mock recall or audit takes minutes instead of a folder hunt. A person verifies before anything is sent.

Reads PODs, bills of lading, and packing lists as they arrive, extracts the fields, checks each consignment against the manifest for missing signatures, GPS mismatches, and docket errors, and pushes the clean ones into the TMS while routing exceptions to a review queue — never closing or invoicing a consignment on its own.