Real engagements.
Anonymised outcomes.

The provider was onboarding new clients using paper forms, then re-keying the same data into their client management system. Intake workers were spending the majority of each week on double-handling rather than supporting new clients through the process.

We mapped the entire intake flow end-to-end, replaced the paper forms with a digital intake process, and piped submissions straight into the client system with validation at the point of capture. A handoff runbook was included so the ops team could maintain and extend the flow without us.

15 or more hours per week recovered across the intake team. Faster onboarding for clients. Cleaner data on the way in, which made everything downstream easier.

Fortnightly payroll was consuming days of manual work — reconciling rostered shifts to timesheets, chasing exceptions, and cleaning up errors that only became visible after pay day. The finance team was burning out and payroll disputes were eroding staff trust.

We built an automated reconciliation layer between the rostering system, timesheet capture, and payroll preparation. Exceptions are flagged before payroll runs rather than after. Humans stayed in the loop for edge cases; everything else runs itself.

90% fewer payroll errors. Payroll preparation cut from days to hours. Finance team redirected onto higher-value work instead of error chasing.

Clinicians were spending meaningful chunks of each week preparing invoices, reconciling session data, and chasing administrative loose ends. Every hour on admin was an hour not on a client. Growth was straining the model.

We automated the invoice preparation cycle with validation against session records, plus a set of supporting admin flows that had been eating clinician time. Documentation handover included so the practice manager owns the system going forward.

8 hours per week of clinician time reallocated from admin back to billable client work. Fewer invoice disputes. Cleaner reporting on session data.

A multidisciplinary practice running physiotherapy, occupational therapy, and speech pathology was producing quarterly outcome measurement reports by hand. The practice manager was pulling data across three systems, cross-checking it against clinician session notes, and rebuilding the same report from scratch every three months. Clinicians were being interrupted mid-session to clarify or re-enter measurement data that should already have been captured at the point of care.

We built a structured outcome capture layer that feeds directly from the practice management system into an automated reporting pipeline. Clinicians now record measurements once, at the point of care, using a guided form that enforces the fields funders actually ask for. The quarterly report assembles itself on the day the quarter closes, with clinician review and sign-off as the only remaining manual step.

Twelve hours per reporting cycle recovered for the practice manager. Clinicians stopped being pulled out of sessions for retrospective data requests. Reports now ship on the day the quarter closes instead of two weeks later, and the data going into them is cleaner because it was captured once, under structured rules, rather than stitched together after the fact.

The practice was receiving new client referrals through a fax line, a generic email inbox, and a shared patient management system, with no consistent handling logic between them. New referrals were taking three business days on average to be acknowledged, triaged to the right clinician, and booked in. Clients were calling back frustrated before they had even been seen; a measurable portion were going elsewhere before the practice could respond.

We built a unified intake pipeline that pulls referrals from all three channels into a single queue, applies structured triage rules (service type, urgency, clinician availability, catchment), auto-routes each referral to the correct clinician, and sends an acknowledgement to the referrer within minutes of receipt. Complex cases are flagged for manual review by the practice manager; straightforward cases schedule automatically. Every decision the system makes is logged so the practice manager can audit the triage logic against real cases.

Referral-to-acknowledgement time dropped from around three business days to about four hours. The practice manager no longer spends the first hour of every morning triaging yesterday's inbox. Drop-off (clients going elsewhere before being scheduled) fell noticeably. The quieter win: referrers started sending more work, because the practice now responds faster than the alternatives.