Vault Zero field notes
A useful AI receptionist starts with the calls around it.
Costs, call flows, pilot scorecards, safety boundaries, and failure tests for home-service operators who want evidence before changing the phone system.
Latest notes
6 notes, newest firstThe 30-day AI receptionist pilot scorecard for home-service teams
A four-week pilot plan with measurable intake, routing, transfer, safety, reliability, staff-workload, and caller-experience decision gates.
How much does an AI receptionist cost for a home-service business?
A practical worksheet for estimating AI receptionist cost from real call volume, provider charges, setup work, quality review, and human fallback.
AI receptionist for plumbers: what to automate, what to route, and what to measure
A practical buyer's guide to using an AI receptionist for plumbing calls without letting automation guess at emergencies, pricing, or dispatch.
AI receptionist vs answering service: a complete cost-comparison worksheet
Compare AI and human answering services with the same workload, outcome, fallback, and quality assumptions instead of relying on advertised monthly prices.
AI receptionist for HVAC after-hours calls: intake and safety boundaries
A practical after-hours HVAC call flow that separates emergency direction, urgent human callbacks, and routine scheduling without asking AI to diagnose equipment.
How to test an AI receptionist: transfers, scheduling conflicts, outages, and emergencies
An end-to-end failure-mode test plan for AI phone receptionists, including expected results, evidence, containment, and launch-blocking defects.