This is the delivery page rather than the research page. Three real Auto Repair situations the agent has to handle, the four-phase timeline from kickoff to live traffic, and the three numbers we commit to: 10 use cases mapped, $1,100–$4,000/mo savings range and 21-day implementation.
Three situations this has to handle
The Monday morning rush — Monday at 8:15am. Your shop opens at 8 and the phone has rung 14 times in 15 minutes. Your two service advisors are at the counter checking in cars. In the old workflow, 8 of those calls go to voicemail and 4 of them never call back. With the agent, every call is answered live. Bookings drop straight into Tekmetric. Your advisors keep checking in cars without interruption. By 9am you have 11 new appointments on the week's calendar versus the typical 5.
The digital-inspection upsell — A customer drops off a 2018 SUV for a routine oil change. The tech runs a DVI and finds $1,800 of legitimate recommended work — front brakes, rear shocks, transmission service, cabin filter. In the old workflow, the advisor would have called, the customer would have been at work, would have called back at 4pm, would have approved the cheapest item, and the rest would have been lost to indecision. With the AI flow, the customer gets an SMS at 11am with photos and per-item approve/decline links. By 1pm she's approved $1,400 of the $1,800 — items she could see the photos of and feel comfortable with. Your ARO on that ticket goes from $90 to $1,490.
The maintenance-reminder year — Your shop has 2,800 active customers in the database, each with one or more vehicles and a service history. In the old workflow, your service writer maybe runs a manual reminder campaign twice a year on the easiest cohort. The agent runs personalized maintenance reminders continuously, hitting each vehicle at the right mileage/time interval. Repeat-visit rate climbs materially across the year; customer LTV expands; your bays stay full even in the slow seasons.
The four phases
Week 1 — Discovery + scope. Map your shop software, service menu, pricing, DVI tool, and integrations.
Weeks 2–3 — Build voice agent for booking + status. Wire inspection-finding SMS flow. Pilot internally; service advisor roleplays 30+ inquiries.
Week 4 — Live pilot on overflow. Advisor listens daily, tunes rules. Onboard maintenance-reminder outbound and review automation.
Months 2–3 — Full rollout. Add collision-intake automation, parts-arrival outbound, and fleet-account workflow. Weekly KPI review (ARO, appointments per day, return-customer rate).
What the auto repair service advisor opens with
"Hi, my check engine light just came on. Can I bring my car in today?" That is the first line, and it is deliberately a question rather than a greeting — the fastest way to find out whether this is an emergency or a price enquiry is to ask.
The three KPIs we commit to
10 use cases mapped
$1,100–$4,000/mo savings range
21-day implementation
Related trades we build for
Operators in insurance, hvac and plumbing run a similar build, because the failure pattern is the same even when the vocabulary is not.