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Automotive AI customer operations

Every customer signal, resolved

One connected layer for voice, SMS, email, and web—AI agents that qualify leads, book appointments, and follow up on time, with human control at every step.

Hear the AI
Program experienceNissanINFINITIMitsubishi
The operating loop

One connected loop from signal to accountable action.

Follow the same operating context through understanding, decision, execution, and human oversight.

01
Current lens

Understand

Bring together the signals and history available to the deployment so the next step starts with relevant customer context.

  • Available signals
  • Identity context
  • Journey history
Signals in
  • Voice
  • SMS
  • Email
  • Web
Illustrative execution flow
  1. Signal capturedIn progress

    Web visit, lead, or conversation

  2. Context resolved

    Customer history and intent

  3. Next action selected

    Policy-aware orchestration

  4. Tool executed

    Scheduler or CRM updated

  5. Team stays in control

    Outcome, trace, and human handoff

One context across voice, SMS, email, and webAuditable by design
Operator view
  • Transcript
  • Tool activity
  • Outcome
Listen to the experience

Voice that feels natural. Actions that stay visible.

Hear the voice sample, then see how a conversation can connect to a controlled, inspectable customer workflow.

Voice sample

Inbound service conversation

Source audio
0:00--:--

Voice sample is paused.

Audio content summary

A customer says their Rogue needs service after the check-engine light comes on. The AI agent acknowledges the concern and asks whether the vehicle is drivable or whether a tow is needed, beginning the conversation with a safety-oriented next step.

Recording notes & transcript status
This is the original audio sample bundled with the site. The content summary above is based on the source notes that accompanied the recording; a verified verbatim transcript is not bundled with it. The workflow trace is illustrative and is not synchronized to the words in the audio.
Connected operations

Illustrative action trace

Ready
  1. Signal captured01

    A customer conversation enters the configured workflow.

  2. Context assembled02

    Identity, intent, and approved customer context are brought together.

  3. Action proposed03

    The agent follows the configured policy and selects an allowed next step.

  4. Outcome recorded04

    The result, exception, and handoff state stay visible to the operating team.

The operator stays in control

Configured permissions, visible outcomes, and human handoff keep the workflow inspectable.

Illustrative workflow. Available actions depend on each deployment's approved configuration and connected systems.

The platform

One system, shown two ways

How each capability works, and the exact screen where your team runs it.

Conversations

Every channel. One thread.

AI agents answer on voice, SMS, email, and your website — and every touch lands in the same thread with full context, so nobody asks a customer to repeat themselves.

  • Human takeover in one click; the AI hands back when you are done
  • Carrier-grade delivery receipts on every message
  • Escalations arrive with the reason attached
Explore the platform
SMS
Email
Voice
Web
JA
Jordan Avery · one thread

Four channels, one identity. Every touch lands in the same thread with full context — the agent never asks a customer to repeat themselves.

Campaigns & cadences

Give an agent a job.

Who to contact, what to say, and when to follow up — sourced from an audience, your lead inbox, or a date anchor like a lease end. Scripted, guided, or autonomous.

  • In guided mode the agent can adjust timing — and must say why
  • Quiet hours, backoff, and guardrail holds are always visible
  • Compliance, transactional, service, and marketing categories built in
See the solutions
Audience · 1,204 lease-ends ≤ 90d, handed to the agent
Day 0 · SMS
+24h · Email
+48h · Voice
Final · SMS
outcomeBooked

A campaign gives an agent a job: who to contact, what to say, and when to follow up. In guided mode the agent may adjust the timing — and must say why.

Live operations

See everything. Own anything.

The action queue is the agents’ agenda: what happens next, what’s late, what’s stuck — and delivery failures are honest, down to the carrier code.

  • Overdue, needs-human, and blocked work surfaces itself
  • Every hold names its cause: quiet hours, backoff, or a guardrail
  • Failed sends show the carrier’s own reason and the fix
Security & control
your team
3 overdue
2 need a human
1 held · quiet hours

The queue is the agents’ agenda — what happens next, what’s late, what’s stuck, and why. Holds are explained, failures are honest, and a human can own any thread in one click.

Automotive workflows

Three jobs. One operating context.

Use the same customer context, channel controls, and execution history across service, sales, and retention workflows.

Inbound service

A service call arrives after the team has gone home.

The customer still gets a useful next step.

An AI agent can identify the customer, use the systems configured for that location, and complete a routine booking—or hand off an edge case with the conversation context attached.

Operational challenge

Calls outside staffed hours often become voicemail and manual callback work.

Illustrative execution

From signal to completed next step

Team controlled
  1. Recognize the caller and retrieve the available customer context
  2. Check the configured scheduling workflow and location rules
  3. Book, confirm, or route the request to the right person

Available actions depend on the systems, permissions, consent state, and workflows configured for each deployment.

Control and observability

Autonomy where it helps. Human control where it matters.

The platform is designed to show what happened, why the workflow acted, and where an operator can intervene.

Consent-aware channels

Gate voice and messaging actions using the available consent state, channel-level opt-outs, suppression rules, and quiet-hour policies.

Human takeover and handback

Let an operator assume control of a conversation with the context already captured—and hand back when done, or automatically after a set window so threads never stall.

Action-level traces

Review the event path, tool calls, outcomes, delivery state, errors, and available usage context behind an automated interaction.

Usage and failure guardrails

Track tool success, delivery, consumption, and configured limits so teams can investigate failures and control operating cost.

Review the control model
Illustrative traceInbound service request
Completed
  1. Signal receivedCustomer request attached to journey
  2. Policy evaluatedChannel and quiet-hour checks passed
  3. Tool calledConfigured appointment operation
  4. Outcome recordedResult available to operator
Transcript
Tool activity
Human handoff
Connected operations

Integrations, with the scope made clear.

Provider access differs by system, retailer agreement, and required operation. We confirm read, write, scheduling, and lead-delivery coverage before a workflow is approved.

Review connection model

Connection group

CRM and lead systems

Customer, lead, opportunity, and activity workflows.

Systems to scope

  • VinSolutions logoVinSolutions
  • ELEAD logoELEAD
  • DealerSocket logoDealerSocket
  • Salesforce Automotive Cloud logoSalesforce Automotive Cloud

Readiness review

  • Provider access
  • Required operations
  • Location credentials
  • Failure handling
Every deployment receives an operation-level readiness review before launch.No logo-wall assumptions

The systems your stores already run

Deployment model

A controlled path from design to production.

Every launch starts with a bounded workflow, a verified connection plan, and clear human ownership.

Workflow deployment rail
Human-owned
  1. Step 01

    Map the workflow

    Define the customer journey, systems, permitted operations, escalation owners, and measurable outcome before configuration begins.

    Journey mapClear ownership
  2. Step 02

    Configure and test

    Set channel behavior, knowledge, tools, consent rules, quiet hours, handoffs, and test cases around the approved workflow.

    Guardrails setTest cases passed
  3. Step 03

    Launch and improve

    Release in stages, monitor conversations and tool activity, review outcomes with operators, and expand only after the workflow is performing as intended.

    Staged releaseReview loop
Bounded scopeVerified behaviorMeasured expansion
Featured customer story

A real rooftop deserves a complete account—not a floating metric.

The full story documents the operating challenge, configured workflow, handoff model, systems involved, and customer-reported outcome.

Mitsubishi
Bell Mitsubishi
Rahway, New Jersey

“We went from missing nearly half our after-hours calls to answering every single one. The AI agent doesn't just pick up—it books the appointment, updates our DMS, and sends the customer a confirmation. Our service lane has never been this full.”

Neil HutkimGeneral Manager, Bell MitsubishiCustomer-reported experience; published with the featured customer story.
Read the customer story

See one high-value workflow
run end to end.

Bring the customer journey your team wants to improve. We'll map the context, channels, connected actions, controls, and success criteria around it.

Explore plans
Scoped pilot

Agree on one workflow, its systems, and measurable success criteria.

Human control

Take over, hand back, and review the context behind every outcome.

Built-in guardrails

Consent gating, quiet hours, opt-outs, and auditable communication records.

Automotive program experience
NissanInfinitiMitsubishi