A voice agent becomes part of your front desk the moment it answers a live call. It has to protect revenue, handle emergencies correctly, disclose what it is where required, and know when to hand off to a person.

I design and build AI voice receptionists for home services, clinics, and other businesses where a missed call can become a lost customer. The work starts with a call-path map: the real intents, urgency levels, escalation rules, booking destination, and the exact claims the agent may and may not make. Then I build the agent, connect the approved workflow, and test behavior beyond the happy path.

What you get: • Inbound voice agent for one primary call path • FAQ, lead-capture, booking, and human-handoff logic • Emergency and compliance guardrails • One approved calendar, form, or CRM integration • Missed-call text-back or post-call recovery workflow • Scenario QA across core, emergency, adversarial, and language cases • Launch runbook, transcript review, and handoff

The proof behind the method is Airtight Revenue, a self-built HVAC voice receptionist with emergency escalation, missed-call recovery, and a 43-scenario behavioral QA suite. Its recorded baseline was 41 pass, 0 fail, and 2 provider errors. Any emergency-scenario failure blocks deployment.

Starting at $5,000 for a focused three-week build. Telephony usage, platform fees, multilingual expansion, outbound campaigns, and complex CRM work are scoped separately.