Guide

AI Receptionist Home Services FAQ Tree

A no-send, no-spend FAQ tree showing how a fictional AI receptionist could classify broad home-services questions before human review.

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Quick Answer

This FAQ tree is a fictional local-only planning asset for the AI Receptionist venture lane.

It shows how broad home-services inquiries could be sorted for human review without collecting leads, answering calls, or touching CRM.

This FAQ tree is Option B from the AI Receptionist decision packet. It gives Lola, Matt, and Aibert a clearer way to evaluate whether the mock receptionist concept feels useful for broad home-services categories before any phone or voice-platform work exists.

Intake branches

The mock receptionist would first sort a fictional caller into one of four broad buckets:

The goal is classification only. The tree does not promise availability, confirm a job, book a visit, collect a payment, or quote a price.

Branch 1: Estimate request

Mock prompt:

“Are you looking for a general estimate, or do you already know the exact service you need?”

Safe capture:

Human review required before:

Branch 2: Repair or service request

Mock prompt:

“Is this an urgent issue, or can it wait for normal business hours?”

Safe capture:

Human review required before:

Branch 3: Scheduling question

Mock prompt:

“Are you trying to schedule a new visit, change an existing visit, or ask a timing question?”

Safe capture:

Human review required before:

Branch 4: General business question

Mock prompt:

“Is your question about services offered, service area, hours, preparation, or something else?”

Safe capture:

Human review required before:

Human handoff checks

Every branch should produce a human-review summary like:

“Fictional caller asks about a non-urgent estimate for a broad home-service category in Exampletown. Human review is required before price, availability, service area, scheduling, or next-step commitment.”

Reviewer questions:

Use the AI Receptionist Niche Selection Scorecard to compare that first review focus without touching real businesses or prospects.

For the first concrete lower-risk niche example, review the AI Receptionist Cleaning First Review Mock.

What remains blocked

Stop before:

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