Auto Repair Shops · AI Dev Team
Estimate Write-Ups, Parts Lookups, and Declined-Repair Follow-Ups: An AI Dev Team for Your Auto Repair Shop
Your mechanics shouldn't be off the floor for thirty minutes building an estimate, and your service advisor shouldn't be tabbing through four vendor portals to confirm a brake rotor is in stock. Most auto repair shops already run Tekmetric, Shopmonkey, AutoLeap, or Mitchell 1 — the gap isn't the SMS, it's the glue around it. Asaasin's AI Dev Team embeds with your shop's stack, learns how your advisors actually write tickets and how your parts manager actually sources, and ships software that removes the manual steps eating your bay hours.
What we build for Auto Repair Shops
Auto-draft estimates from DVI photos and tech notes inside Tekmetric or Shopmonkey
Technicians dictate or snap the inspection; the system drafts a line-itemed estimate with labor times pulled from Mitchell 1 or Motor, ready for the advisor to review and send for DVI approval.
Unify parts availability across WorldPac, NAPA PROLink, WHI Nexpart, and your local jobbers
One search hits every vendor portal you use, returns price and ETA side-by-side, and writes the chosen part straight back into the RO so the advisor never re-keys a part number.
Automate declined-repair follow-up by mileage, season, and safety priority
Every declined line item gets queued for a personalized text or email at the right interval — brake pads before winter, timing belt before the next service — so deferred work actually comes back.
How a Build Pod fits
A Build Pod is a small, dedicated team — a senior AI engineer, a full-stack engineer, and a PM who owns the roadmap with you. We start by sitting in the shop (or on a Loom of the shop) for a week, watching how a ticket actually moves from key drop to invoice, then we ship the first working tool in two to three weeks against your real Tekmetric or Shopmonkey data, not a sandbox.
From there the pod runs on a monthly subscription, so the same engineers keep extending the system as you find new gaps — a CarFax pull on check-in, a tech-productivity dashboard, a callback queue tied to declined jobs. You own the code and the data; we own shipping it through your stack without breaking how your advisors and techs already work.
Frequently asked questions
- Is there an AI for automotive repair?
- There are general diagnostic copilots and a few SMS-bundled features (AutoLeap's campaigns, Shopmonkey's messaging), but most shops still need custom glue between their SMS, parts vendors, and customer comms. That's the work a Build Pod does.
- Will AI affect auto mechanic jobs?
- AI mostly removes the paperwork around a tech — estimate write-ups, parts lookups, status texts — so technicians spend more billable hours actually turning wrenches. Diagnostics and repair stay human; the 30-minute estimate doesn't have to.
- Which AI is best for automotive diagnostics?
- For OBD-II and OEM-specific diagnostics, the scan tool you already trust (Snap-on, Autel, Launch) still wins. We don't replace it — we plug its output, plus Mitchell 1 or ALLDATA repair info, into your estimate and RO flow so the diagnosis becomes a draft ticket automatically.
- How long before we see working software in our shop?
- First production tool in 2–3 weeks, running against your live Tekmetric, Shopmonkey, or AutoLeap data. We pick the workflow with the biggest time leak first — usually estimate drafting or parts lookup — and ship that before touching anything else.
- Do you work with our existing shop management software?
- Yes. We integrate with Tekmetric, Shopmonkey, AutoLeap, Mitchell 1, Protractor, and Garage360 via their APIs, plus vendor portals like WorldPac, NAPA PROLink, and WHI Nexpart. If a system has no API, we build a thin desktop or browser bridge so your team's workflow doesn't change.
- Who owns the code and the customer data?
- You do. Code lives in your GitHub org, data stays in your database or your SMS, and there's no lock-in to a proprietary Asaasin platform. If you ever pause the pod, the software keeps running.
Ready to ship AI for auto repair shops?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod