Turn a tire enquiry into a clear next step
Get the car and job details. Help the shop plan its next step.
This is a fictional business example. It shows how a workflow could work. It is not a client project or a measured result.
The starting point
Where the work
gets stuck.
In this fictional scenario, seasonal tire demand fills the phone line. Mechanics repeat availability and pricing answers while quotes and booking details are scattered across messages.
An illustrative workflow
- The receptionist captures the vehicle and service request using the shop’s approved questions.
- Supported scheduling and pricing rules supply a quote or booking option, with uncertain work sent to staff.
- Confirmations, follow-ups and a schedule digest keep outstanding enquiries visible.
Intended benefits / To be tested in a pilot
What could improve.
Reduce repeated details gathering at the counter.
Give customers a documented quote or booking next step.
Help the owner see open enquiries alongside scheduled work.
Illustrative scenario, not a client result. Pricing and duration depend on approved rules and confirmed vehicle details. Diagnosis, safety decisions and work outside those rules remain with the shop.
The change in the working day
Before and after
the handoff.
Qualitative workflow examples. These are not measured customer results.
| What to compare | Before | With the proposed workflow |
|---|---|---|
| Seasonal calls | Mechanics repeat service and availability answers during jobs. | Approved questions and answers gather the request before staff involvement. |
| Quotes | A verbal quote ends without a clear next action. | A documented quote or review request connects to the supported booking flow. |
| Schedule | The owner holds the bay plan and open enquiries in memory. | A digest shows confirmed work, pending quotes and parts dependencies. |
| Follow-up | Unaccepted quotes disappear into messages. | Agreed reminders and an exception queue keep them visible. |
Scroll sideways to compare all columns on a small screen.
See the detail
What the exchange
could look like.
Fictional conversation and digest. No booking conversion, missed-call rate or labour saving is asserted. Prices, duration and availability require approved rules and reliable source data. Vehicle diagnosis and safety decisions remain with the shop.
A tire-change request becomes a booking
- Customer
Can I book a winter tire changeover? The tires are already on rims.
- AI assistant
I’m the shop’s AI assistant. I can gather the vehicle details and check the approved service and scheduling options. If the details do not match a standard service, the team will review it.
- Customer
A Wednesday morning slot would be best.
- Illustrative booking step
The customer reviews the applicable service estimate and selects an available slot in the connected scheduler.
- AI assistant
The scheduler has confirmed the booking. The shop will confirm the condition and scope of the work on arrival; you’ll receive the booking details and agreed reminder.
The week-ahead shop digest
- Confirmed bookings
The week’s scheduled services are grouped by bay and day using the connected schedule.
- Open quotes
Sent quotes with no customer decision remain pending. Agreed follow-up messages are listed separately from confirmed work.
- Parts dependencies
Jobs awaiting parts are flagged for staff review before a completion time is promised.
- Owner decisions
Nonstandard requests and uncertain service details are assigned for review.
What connects it.
- AI receptionist with approved service questions
- Scoped quote and scheduling connection
- Confirmations and agreed quote follow-up
- Bay schedule and outstanding-work digest
Something sound familiar?
Bring the real version from your business. We’ll work through the next step.