Use cases/Automotive
Built around your business

More time in the bay. Less time on hold.

Bring service inquiries, booking requests and customer callbacks into one place. Give the service desk enough context to pick up the next conversation.

A connected support day

The next person
gets the whole story.

A driver describes a problem in chat and calls later for an update. The advisor can see the vehicle details and the earlier request before asking another question.

Related history and a shared working Inbox help the team pick up the request with context. Internal Team conversations keep colleagues close to the answer.

Explore this part of Message →
For Automotive

Useful work.
Clear next steps.

Build around the requests your team already handles. Start with the knowledge, channels and handoffs that make those conversations easier.

01

Collect a useful service request

Ask for the vehicle, the requested service and a short description of the issue. Technical diagnosis and final estimates stay with the qualified advisor.

02

Offer the services you actually book

Configure service types and their durations. Use approved booking options instead of letting AI invent a price or an appointment slot.

03

Answer common shop questions

Make hours, location, inspection requirements and published service information available as approved knowledge.

04

Give callbacks an owner

Send the request to the advisor with the conversation link and promised time. Keep the callback visible until it is acknowledged or completed.

Teach it your business

Good answers start
with your knowledge.

Scan your website or answer the onboarding interview. Review the drafts, publish approved answers and set company-specific guidance for AI. Connect only the sources that belong in this workspace.

See how Message AI learns →
QUESTION 01

“Can I book an inspection?”

QUESTION 02

“What details do you need about my car?”

QUESTION 03

“Can my service advisor call me back?”

Connected context

Bring the relevant tools.

Choose connections for your workflow. Open each guide to see its actual capabilities, required permissions and setup.

Start with one real request

Make the trial
look like your workday.

Connect one channel, publish a small set of approved answers and invite the people who will use the workspace. Test the experience from both sides of the conversation.

  • Ask a routine question your team answers every day
  • Try a request that needs customer verification
  • Ask for a person and review the handoff
  • Continue the request through a second channel
Before you start

A few useful answers.

Does AI arrive knowing our automotive business?

No. Build its knowledge from your approved information and connected sources. Review generated articles, configure company guidance and test your actual questions before enabling customer-facing replies.

Can a person take over?

Yes. Your team can handle requests that need judgment, authorization or information AI does not have. Use assignments, internal discussion and customer history to give the next person the context.

Does every connected system allow AI to make changes?

No. Read-only connections provide permitted information; they do not authorize refunds, cancellations, account changes or other actions. Check each connector’s capabilities and keep decisions with the appropriate person or system.

What does a workspace cost?

Chat, Tickets or Phones start at $5/month each with five human support agents included. Support is $10 and Business is $15. Additional services, AI add-ons and usage can be charged separately. The pricing page explains the starting costs.

Better conversations for your team.

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