AI phone intake for auto repair shops

An AI receptionist for auto repair calls that need a clear next step.

Configure Truvoca to collect the caller's contact details, vehicle information, service concern, and preferred timing, then create the verified request, notification, or staff route your shop has defined.

This is a configured vertical workflow, not a claim that Truvoca replaces a service advisor. Diagnosis, estimates, parts availability, booking, towing, repair-order updates, payments, and shop-system actions remain unavailable as public promises until the exact behavior is tested.

30 minutes over Google Meet. Times are shown in Eastern European Time (GMT+03:00). Scheduling runs on Google Calendar, so choosing a time takes you into Google’s service.

See the intake flow
  • Structured vehicle and service-request intake
  • Approved appointment-request or confirmation path
  • Clear staff handoff for judgment
  • Recorded outcome in the verified workflow

Calls arrive while the work keeps moving

Give each caller a clear route without interrupting every bay.

Service advisors may be checking in vehicles, reviewing technician findings, coordinating parts, or speaking with customers already on site. At the same time, new customers call about a noise or warning light, existing customers ask for an update, and vendors or towing providers need the correct person.

Truvoca can separate repeatable intake from questions that require shop knowledge. The goal is not to invent an answer; it is to capture the right facts and make the next owner visible.

  • New service request
  • Existing-customer callback request
  • Appointment request or confirmation
  • Repair status or estimate question for staff
  • Vendor, warranty, parts, or towing route
  • Wrong number or out-of-scope call

Start with calls that have defined outcomes

Choose the auto repair workflow your team can govern.

Each call type needs its own data, action, and boundary. Appointment confirmation is the current production-adjacent proof; the other examples are configured or require validation for the shop's systems.

  • Service-request intake Configurable

    collect vehicle, concern, contact, and preferred timing.

  • Appointment request Validation required

    capture a request or book only after availability and write-back tests.

  • Appointment confirmation Production-adjacent

    apply the verified confirmation model to approved shop data.

  • Repair status or estimate question Staff route

    identify the record only if verified, then send the question to the responsible advisor.

  • After-hours intake Gated

    publish only after inbound routing, urgent-call, handoff, and fallback tests.

Collect facts without diagnosing the vehicle

Give the service team a usable intake record.

A practical schema can include caller and contact details, existing-customer status, vehicle year, make and model, the concern in the caller's own words, dashboard messages, visible or heard observations, whether the vehicle can be driven, preferred timing, and access or towing context.

The final fields, required questions, privacy limits, and destination must be validated with the shop. Truvoca should not convert the description into a diagnosis, safety decision, repair estimate, or parts recommendation.

  • Caller name and callback number
  • Vehicle year, make, model, and optional identifier after review
  • Concern described in the caller's words
  • Observed sound, smell, light, leak, or drivability signal
  • Preferred day or time and transportation constraints
  • Existing customer, vehicle, or repair order only through verified lookup

Configured demonstration — not a customer testimonial

Show how a realistic service call reaches the team.

The demo can begin with a caller describing a vehicle and concern. Truvoca collects the approved facts, avoids diagnosing the cause or quoting a price, checks only the verified information source, and creates the agreed next step.

The reviewer should see the caller-facing summary and the context delivered to staff: collected fields, exact disposition, any urgency flag, the requested next action, and the point where a person takes over. A failure or unavailable-data case should be included.

  • Approved sample vehicle and caller context
  • No diagnosis, estimate, or availability promise
  • Verified request, task, notification, or system record
  • Named staff owner and handoff fields
  • At least one missing-data or failure case

A logo is not proof of workflow support

Evaluate the exact shop-management action you need.

Tekmetric, Shop-Ware, AutoLeap, Shopmonkey, Mitchell 1, and R.O. Writer are research priorities, not claims of native availability or partnership. For a named system, Truvoca must verify the access method, objects, fields, permissions, actions, error behavior, and support owner.

Until connector QA passes, the page may describe a custom assessment and show whether the path is Available, Custom, or Planned. A generic connection does not prove appointment booking, repair-order lookup, status updates, or write-back.

  • System and verified status
  • Objects and fields the workflow may read
  • Actions and fields it may write
  • Authentication and minimum permissions
  • Failure, duplicate, and reconciliation behavior
  • Last reviewed date and maintained owner

Service judgment stays with the shop

Route diagnosis, pricing, safety, and disputes to the right person.

The automated path should stop for safety-critical symptoms, diagnostic questions, estimate approval, warranty disputes, angry or vulnerable callers, towing, payment questions, missing shop data, and any request outside the approved script.

The handoff mechanism may be a transfer, callback task, or notification only after the destination, schedule, context, no-answer behavior, and fallback are tested. Truvoca does not provide driving or repair advice and does not promise emergency response.

  • Safety or drivability concern
  • Diagnosis, repair recommendation, or estimate
  • Warranty, payment, refund, or authorization dispute
  • Towing or roadside request
  • Sensitive complaint or angry caller
  • Unavailable vehicle, customer, parts, or repair-order data

Test the script before it reaches real callers

Use a controlled demo to decide whether the workflow fits your shop.

Review the intake fields, approved knowledge, forbidden promises, call categories, dispositions, system behavior, handoff, and failure paths with the service and operations owners. Test realistic variations across vehicle types, missing information, existing and new customers, and out-of-scope requests.

A good fit has repeatable intake rules, a named owner, maintained shop information, and a reliable destination for exceptions. Exclude diagnosis, autonomous estimates, emergency dispatch, or undocumented system actions.

  • Configured script and required fields
  • Approved static information and update owner
  • Test matrix with successful and failed calls
  • Disposition and staff-context review
  • Verified connector action or explicit no-write state
  • Named launch and monitoring owner

Bring one high-volume call type

See how Truvoca would structure your shop's next step.

Tell us which calls matter, which intake fields the service team needs, which software stores the work, when the shop is staffed, where exceptions should go, and what the agent must never say or do. We will prepare a scoped demonstration with a safe sample flow.

Do not submit customer, vehicle, payment, credential, or confidential repair-order data through the public form.

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FAQ

FAQ

Can Truvoca diagnose a vehicle problem?

No. Truvoca can capture the caller's description and approved observations, then use the verified route for staff review. It should not identify the cause, tell the caller whether driving is safe, or recommend a repair.

Can it provide a repair estimate?

Not as a general capability. The workflow may provide explicitly approved static information or route the request to staff, but diagnosis-based pricing, parts, labor, taxes, and estimate approval require the shop's systems and judgment.

What vehicle details can it collect?

A validated schema may include year, make, model, optional identifier, caller details, concern in the caller's words, observations, drivability signal, timing, and existing-customer status. Required and optional fields are confirmed with the shop.

Can it book a service appointment?

Only after service duration, availability, shop rules, permissions, write-back, confirmation, and failure behavior are verified. Otherwise Truvoca captures an appointment request and makes staff follow-up explicit.

What happens with a safety or towing request?

The agent follows a tested stop and handoff rule, uses approved caller wording, and does not provide safety advice or guarantee towing or emergency response. The destination and no-answer fallback must be proven.

Does it integrate with our shop-management system?

The system and exact action must be assessed. The integration registry should show Available, Custom, or Planned plus verified objects, reads, writes, errors, and last review; a logo alone is not support evidence.

How does staff receive the call context?

The implementation names the tested system record, task, notification, or transfer and the approved fields included. Context should state what was collected, the disposition, requested next action, and any exception.

Can we control what the agent is allowed to say?

Yes. The workflow uses approved scripts and data sources, forbidden claims, stop conditions, and escalation rules. The public page should name only behavior that has been reviewed and tested.

Book a demo

30 minutes over Google Meet. Times are shown in Eastern European Time (GMT+03:00). Scheduling runs on Google Calendar, so choosing a time takes you into Google’s service. What the calendar collects

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