Modelled builds · full arithmetic shown

The math behind every system, before you spend a dollar.

These are modelled builds, not client stories. Each one shows the starting situation, exactly what gets installed, a before/after table, and the arithmetic — so you can substitute your own numbers and see whether the system clears its own cost.

We publish named client results only with permission and only once measured. Until then, everything here is labelled for what it is.

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Builds documented
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Industries
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Numbers hidden
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Client names used
HVAC · AI Missed-Call Text-Back

A 6-truck HVAC shop stops losing summer emergency calls

Modelled on a shop taking 400 inbound calls a month in peak season, missing roughly a quarter of them, with an average ticket of $480.

Inbound calls / month: 400400Calls missed: ~100~100

Read the full build math →

Contractors · AI Quote Follow-up

A remodeling contractor recovers quotes that went quiet

Modelled on a contractor sending 30 quotes a month at an $11,000 average project value and a 22% baseline close rate.

Quotes sent / month: 3030Follow-up touches per quote: 0–19 (auto-paused on reply)

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Plumbers · AI Review Responder

A plumbing shop compounds its Google rating instead of coasting on it

Modelled on a two-van shop completing 120 jobs a month, sitting on 41 reviews and a 4.3 rating.

Jobs completed / month: 120120Review requests sent: ~15 (verbal)120 (automatic)

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Roofers · AI Appointment Setter

A storm-season roofer stops burning ad spend on tire-kickers

Modelled on a roofer spending $6,000 a month on paid ads, generating 150 leads, of which most were never going to buy.

Ad spend / month: $6,000$6,000Leads generated: 150150

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Dentists · AI Automation System

A two-chair practice reactivates patients who quietly stopped coming

Modelled on a practice with 1,800 patient records, of which 620 had not booked in over 18 months, at a $210 hygiene visit value.

Inactive patient records: 620620 workedReactivation outreach sent: Ad hoc620 across 3 touches

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Restaurants · AI Content Engine

A neighbourhood restaurant fills slow weeknights from its own guest list

Modelled on a 70-cover restaurant with 2,400 opted-in guest emails and a $46 average cover, running two thin nights a week.

Guest emails on file: 2,400 (unused)2,400 (worked weekly)Marketing sends / month: 0–14 + automations

Read the full build math →

Illustrative build — modelled scenario, not a named client

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