Missed-Call Rescue & Booking Agent | Real Minds AI
AutomotiveCustomer-service agentlive

Missed-Call Rescue & Booking Agent

Answers or texts back missed service calls in seconds, captures the vehicle and issue, offers real open slots, and writes the booking into the scheduler — routing anything ambiguous to an advisor instead of confirming on its own.

realmindsai.com.au/theater/demos/automotive_missed-call-rescue-booking-agent.html · sandbox · read-only
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How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

Roughly one in four inbound service calls hits voicemail when advisors are juggling the lane during a compressed morning window with no after-hours cover. The mechanism the brief describes is the same everywhere: a missed call is usually a missed repair order, because the caller just rings the workshop down the road and books there.

This pattern answers or texts back the missed caller within seconds, captures the vehicle and the described issue, offers genuine open slots, and writes the booking into the scheduler — with anything unclear (an urgent safety concern, an unknown vehicle, a warranty question) routed to an advisor to handle. Nothing confirms a booking on its own.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–4 weeks. Most of it is template work we've already done.

Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
Scheduler/DMS booking integration, call-flow scripting.
stack · Make · Twilio · scheduler API · LLM
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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