Auto repair shops-grade AI receptionist, shipped by people who've done it before.

Our goal is to give auto repair shops a three-day weekend, so people can spend more time with their families and the people they love :)

Most auto repair shops we talk to aren't short of dashboards or tools - they're short of an hour back in the week. That's the lens we put on AI receptionist: not a tech showcase, but a careful look at the one or two workflows where an auto repair shop is paying for the same problem to be solved twice.

What AI receptionist actually does

A 24/7 AI receptionist that answers calls and chats, books appointments, takes deposits, and routes urgent issues to a real human. Sounds Kiwi. Doesn't fumble names.

  • 01 Voice + chat, both trained on your business
  • 02 Knows your services, prices, and availability
  • 03 Books direct into your calendar - no double-bookings
  • 04 After-hours coverage with morning summary email

Built on: Vapi Twilio Claude Cal.com Stripe

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI receptionist compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The two or three things that decide whether this works for auto repair shops.

  • Mechanics quote from underneath a car and answer the phone from underneath a car, and one of those always loses.
  • Booking, quoting, and parts follow-up are the admin layer that decides how many cars a workshop can turn over in a week.
Talk to us about this →

How we build AI receptionist for auto repair shops.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for an auto repair shop business, so value lands before the build is finished. 24/7 AI front desk.

Talk to us

How the work runs

The outcome for auto repair shops

Captures the 30-40% of enquiries that used to go to voicemail. For auto repair shops, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

Start a conversation

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for AI receptionist with an auto repair shop?

Most auto repair shops have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI receptionist cost for an auto repair shop?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

What's the realistic outcome for auto repair shops?

Captures the 30-40% of enquiries that used to go to voicemail. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What happens if we want to swap a vendor out later?

AI receptionist is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Vapi, Twilio, Claude, Cal.com, Stripe are our defaults, but the build is intentionally portable.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.