Break point 1
The vehicle history is hard to use
Prior work, mileage, inspections, recommendations, warranties, and customer decisions are not visible in one timeline.
We build one auto shop operations system around the vehicle record—connecting scheduling, digital inspections, estimates, approvals, bay status, technician work, parts, payment, and future service.
Built as an AI-first custom CRM: the record stays current, routine work moves automatically, and operators can see what needs attention next.
Confirm the vehicle, concern, history, mileage, appointment, and authorization.
Capture findings, photos, videos, severity, parts, labor, and recommendations.
Present clear options and record the customer's decision without phone tag.
Manage bay and technician status, invoice, pickup, and future-service follow-up.
Repair shops that need appointments, vehicle history, inspections, estimates, customer approvals, technician work, parts, bays, invoices, and declined-service follow-up in one accountable flow.
The service advisor, technician, parts desk, and customer all need a different view of the same repair order. When those views are split across tools, approvals slow down, bays wait, customers call for updates, and declined work disappears.
Break point 1
Prior work, mileage, inspections, recommendations, warranties, and customer decisions are not visible in one timeline.
Break point 2
Inspection evidence, explanations, options, authorization, and job status move through separate conversations.
Break point 3
Waiting parts, stalled approvals, bay status, comeback risk, and declined service are difficult to manage as one queue.
One record moves forward. Each stage has a current status, a responsible owner, and a next action.
Confirm the vehicle, concern, history, mileage, appointment, and authorization.
Capture findings, photos, videos, severity, parts, labor, and recommendations.
Present clear options and record the customer's decision without phone tag.
Manage bay and technician status, invoice, pickup, and future-service follow-up.
These modules share the same customer, job, visit, matter, order, or property record. We prioritize the modules that close your biggest gap first, then expand the system as the workflow proves itself.
Complete vehicle records with VIN, mileage, past services, parts used, and manufacturer maintenance schedules. Your techs see the full picture before popping the hood.
Techs capture photos and videos during inspections. Customers see exactly what's going on with red/yellow/green condition indicators and approve repairs from their phone.
Visual board showing every bay, current job status, tech assignment, and estimated completion. Your service advisors know exactly where every vehicle stands.
When a customer declines a recommended repair, the system tracks it and triggers follow-up reminders at the right interval. Recover lost revenue without being pushy.
Automated text updates at each stage — vehicle received, inspection complete, repairs in progress, ready for pickup. Customers never have to call and ask 'is it done yet?'
Track hours flagged vs. hours billed, average repair order value, service type breakdown, and customer retention rates. Data-driven management for your shop.
Service managers see which vehicles are checked in, inspecting, waiting approval or parts, in repair, and ready.
Tie plain-language recommendations and visual evidence to the estimate and authorization.
Keep declined work, upcoming maintenance, warranty, and last-contact status attached to the vehicle.
The intelligence is built into the workflow. It captures context, prepares the next step, watches for risk, and helps operators investigate the business without losing human review or audit history.
Based on vehicle age, mileage, service history, and manufacturer schedules, AI generates personalized maintenance recommendations. Your service advisors present data-backed suggestions, not guesses.
AI turns technician inspection notes into professional, customer-friendly reports with plain-English explanations. Customers understand the 'why' behind every recommendation.
AI sends personalized follow-ups on declined services — timed based on urgency and the customer's communication preferences. Includes a reminder of what was found and why it matters.
Owners can ask questions across connected CRM records. Answers show the underlying signals and can open the affected customers, jobs, visits, matters, orders, or properties.
The CRM can connect communication, payment, scheduling, accounting, analytics, and industry systems when their APIs support it.
A connected shop system can include appointments, customer and vehicle records, repair orders, digital vehicle inspections, estimates, approvals, parts status, technician and bay workflow, invoices, payments, declined service, and reporting.
A technician records findings with condition levels, notes, photos, or video. The service advisor reviews the report, connects recommendations to an estimate, and sends the customer a clear approval experience.
Yes. A secure link can present the inspection, explanation, repair options, pricing, and authorization. The decision is recorded on the repair order and updates the shop workflow.
Yes. A production board can show each vehicle's current stage, assigned technician and bay, approval or parts blockers, promised time, and next action.
Yes. Declined recommendations stay tied to the vehicle, mileage, urgency, and customer decision. The shop can define appropriate reminder timing and stop outreach when the work is completed or no longer relevant.
An AI-first CRM can maintain the operating record and support workflows such as AI Service Recommendations, AI-Powered Inspection Reports, Automated Declined Service Recovery. Actions can use approval rules, confidence thresholds, and audit history. Owners can also investigate connected data with questions such as “Which vehicles are blocking bays while they wait for approval or parts?”
We will follow one vehicle from appointment through pickup and recommend the shop modules that create the clearest operational improvement.