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Illustrative case study — a representative example of the kind of AI automation project we build, not a completed client engagement yet.

Bondi Junction Physio Group

Bondi Junction, Sydney — AI Automation

The challenge

Bondi Junction Physio Group was losing a meaningful chunk of billable hours to no-shows and late cancellations, with no reminder system beyond a receptionist manually calling clients the day before — a job that ate half a morning and still missed people who didn't answer.

What we built

  • Automated intake forms sent the moment a booking is made, so paperwork is done before the client arrives
  • An AI model trained on past booking patterns that scores each appointment's no-show risk, so at-risk bookings get an extra reminder instead of the same generic sequence for everyone
  • A reminder sequence — SMS and email — at 48 hours and 3 hours before each appointment, with a one-tap reschedule link
  • Automatic waitlist fill: a cancelled slot pings the next person on the waitlist instead of sitting empty

The result

No-shows dropped by around 40% in the first two months. Because the AI model concentrates extra follow-up on the appointments actually at risk, the clinic didn't need to bombard every client with reminders to get the result — and the front desk got back the better part of a morning each week that used to go to manual reminder calls.

"No-shows were costing us real money every week. The AI-assisted reminder system flags who's likely to miss their slot and follows up automatically — we haven't had to think about it since." Josh N., Clinic Director, Bondi Junction Physio Group