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home-services · Front desk · AugmentBuy it

AI receptionist that catches missed calls

01 — The scenario

A home-services business where this lands in Customer Service.

The friction
missed-callsafter-hoursbookinglead-capture

02 — What is actually going wrong

Your techs are under a house or up a ladder when the phone rings, so calls go to voicemail. Most callers do not leave one — they ring the next plumber on the list. The lost job never shows up in any report, which is exactly why it goes unfixed for years.

How it works

Calls that ring out roll to a voice agent instead of voicemail. It answers in your business name, works out whether the job is an emergency, quotes your standard callout, and books straight into the dispatch calendar. Anything it cannot handle it takes details for and texts to you.

What good looks like

Your voicemail box stops filling up. Every morning there are jobs on the calendar that were booked while nobody was at a desk, and the after-hours callers who used to vanish are now showing as first-appointment slots.

03 — The problem, in money

$67,567$1,233,375/ yr at stake
Modeled
  • Missed calls per week22 calls50 callsPlaceholder — not a validated benchmarkStarting point
  • Booking rate on recovered calls0.35 ratio0.5 ratioPlaceholder — not a validated benchmarkStarting point
  • Average job value450 USD2,530 USDPlaceholder — not a validated benchmarkStarting point

04 — The options

Buy$200–$500 / moOff-the-shelf tooling, live sooner.
Bin$0Do nothing — and accept the leak.

05 — The call

Buy it

Buy it. An off-the-shelf tool wins this one — it gets you live faster, and the math does not justify building from scratch.

06 — How this goes wrong

  • Letting it quote prices on jobs it cannot see. Callout fee, yes; "roughly two grand for a hot water cylinder", no — you will be held to it.
  • No handover path. If the agent cannot answer, it must take a number and text a human, not loop the caller through the same three questions.
  • Booking into a calendar that is not the real one. If dispatch runs off a whiteboard, you will double-book a van in week one.
  • Leaving the emergency script generic. A burst pipe and a dripping tap need different urgency, and getting that backwards costs more than the missed call did.

07 — How you would actually do it

  1. 01Measure the real number first: pull a month of call logs and count rung-out and after-hours calls. This is also your baseline.
  2. 02Pick the failover point — usually ring-for-20-seconds, then divert, so humans still get first crack.
  3. 03Write the call script around your five most common job types and your actual callout fee.
  4. 04Connect it to the dispatch calendar with write access to one test technician only.
  5. 05Run it after-hours for two weeks before letting it take daytime overflow.
  6. 06Review transcripts weekly for the first month — that is where the script bugs live.

08 — Tools worth looking at

VapiDeveloper-grade voice agents; best if you want control over the script and integrations.
Retell AISimilar footing to Vapi, strong on latency and call handover.
Goodcall / Slang.aiPackaged for trades and hospitality — faster to stand up, less flexible.
ServiceTitan / JobberIf you already run one of these, check their native call handling before buying a third tool.

Named for orientation, not endorsement. No affiliate arrangements, and nothing here has been paid for.

09 — Run it on your numbers

Start from industry averages, then drag the inputs to match your business. The number moves live.Drag each input to your number — the starting points are neutral midpoints, not industry data. The number moves live.

Worth to your business
$67,567per year
Modeled — industry averages
Revenue$180,180Modeled
Cost savings$0Modeled
Hours / week0Modeled
Industry averages
22 calls
Industry avg: 22 callsPlaceholder — not a validated benchmark
0.35 ratio
Industry avg: 0.35 ratioPlaceholder — not a validated benchmark
450 USD
Industry avg: 450 USDPlaceholder — not a validated benchmark

10 — The evidence · what others report

No hard numbers reported.

Reported numbers are third-party claims, source-attributed — not verified by me, and never blended into the model above.

11 — Questions owners ask

Every figure is Modeled — computed from industry-average benchmarks against the scenario’s formula. Move the sliders to your own inputs and the numbers recalculate live. Nothing here is a promise; it is a starting estimate you can pressure-test.
The library is organized by department, outcome, effort and readiness so you can find what fits. Add scenarios to your plan, tune the inputs, and see the combined picture on your plan dashboard.
Want this to be a Projected number? That's what the Audit produces — my forecast on your real data, with my name on it.
Build means a custom system is the right move; Buy means an off-the-shelf tool wins; Bin means the math does not justify doing it at all. Binned scenarios can be favorited for reference but never enter a plan.

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