MotorBiz
Nominating the driver on a traffic fine, from forty minutes to under two
Fines arrive addressed to the dealership as registered owner. Someone has to say who was driving, within windows as short as 28 days.
The problem
MotorBiz is a Melbourne used-car dealership. Fines and tolls arrive addressed to the dealership as the registered owner, and the business must nominate who was actually driving, within windows as short as 28 days. Identifying the driver meant cross-referencing their dealer management system, spreadsheets, WhatsApp messages and timestamped phone photos. It took four to five hours a week, and under Victorian law, repeatedly failing to nominate can cost a company more than $22,000.
What we built
An iPad kiosk next to the key safe. Staff photograph a number plate and a driver's licence, AI extracts the details, staff confirm, and every key movement is logged with a timestamp. Fines are photographed or uploaded, the details are extracted and checked by a person, and an attribution engine matches the plate and offence time against the key log. It identifies the driver, flags the vehicle as sold, or asks for manual review. It never guesses. The system then fills the official nomination form and a browser extension loads it into the government portal, where a human ticks the captcha and presses submit. The system prepares the nomination and a person signs it, which is how we wanted it: a wrong nomination is a legal problem, not a support ticket.
How it's measured
The build targets are explicit: a nomination that took 20 to 40 minutes should take under two, and the weekly fines workload should drop from four-plus hours to under 30 minutes. Every checkout, match and submission is audit-logged, so the pilot measures those numbers in production instead of asking anyone to take our word for it.
Status
Deployed and in pilot with the dealership.
“Automating our car custody system has been a game changer for us - it's released one day per week in wages. It's a no brainer.”
Luke L, Owner, MotorBiz