AZ Motorsports: a tuning catalogue that sells while the shop works

The client

AZ Motorsports is a performance tuning operation in Brossard, Québec, run under the Quintessence Auto Group umbrella. Tuning is a catalogue-heavy business: what a shop can do depends on the vehicle, make, model, year, engine, current stage, and every combination maps to different packages, parts and pricing.

The people who can answer "what can you do for my car" are the same people with their hands in engine bays, which means the answering competes directly with the billable work.

We had already rebuilt the back office for Quintessence Auto in 2024, so when AZ Motorsports needed its tuning offer put online properly, the brief was familiar: take the knowledge that lived in the team's heads and inboxes and turn it into a system that presents it, qualifies interest and moves serious inquiries forward on its own. The build ran in March 2025 and shipped in one to two weeks.

The problem

For a tuning shop, the gap between interest and booked work is where business leaks. A prospect wants to know what is possible for their specific car and what it costs, and when the answer requires a back-and-forth with whoever is free to reply, answers come slowly, inconsistently, or not at all. Prospects comparing shops go with whoever answers first.

Meanwhile the catalogue knowledge itself, which packages fit which platforms, what each stage involves, sits in people rather than in a system, so every inquiry restarts the same conversation from zero.

The work here addressed both halves: a catalogue that answers the "what fits my car" question without a human in the loop, and a funnel behind it that captures the prospect, qualifies them and carries them toward a booking automatically instead of leaving follow-up to whoever remembers between jobs.

• Answers competed with billable work. The only people who could say what fits a given car were the people with their hands in an engine bay.
• Catalogue knowledge lived in heads. Which packages suit which platforms and stages sat with staff and in inboxes, not in a system.
• Every inquiry restarted from zero. The same conversation was had again with each prospect, inconsistently and slowly.
• Follow-up depended on memory. Interest that did not convert immediately was left to whoever remembered between jobs.

Constraints

This was a fast, focused build: one to two weeks in March 2025. The short timeline was workable because the scope was sharp, catalogue plus funnel, not a full back-office rebuild, and because the working relationship with Quintessence Auto Group was already established from the 2024 dealership build.

The catalogue had to be fully automated rather than a static page, since a tuning offer that has to be manually maintained goes stale the same way it did in the inbox. The funnel had to run end to end with AI, because the shop floor could not absorb a new manual follow-up process.