LOT 003 · Voice AI · Pilot Stage
VOXAGENT
AI voice infrastructure for service businesses.Service businesses — clinics, agencies, dealerships, real estate, professional services — lose 20-40% of inbound calls because nobody picks up. The fixes on the market are robotic IVRs from 2014 or expensive call-center contracts. Neither matches the bar customers now expect.
The case
Why VOXAGENT
Our thesis
A voice agent that sounds human, knows the business, schedules into the calendar, and routes intelligently is now achievable — and within 12 months it will be the default expectation for any service business.
What it is
VOXAGENT is a deployable AI voice layer that answers, qualifies, schedules, and routes for service businesses — built on top of a knowledge layer specific to each business.
Under the hood
How it's built
Cloudflare Workers (orchestration), Twilio (telephony), low-latency edge audio routing.
Stack
- Realtime voice models (OpenAI Realtime / Deepgram + Cartesia hybrid)
- Per-business knowledge layer with retrieval grounded in the company's services + policies
- Calendar + CRM integrations (Cal.com, Google Calendar, HubSpot, custom)
- Call analytics dashboard with transcript review + intent classification
Approach
- 01Verticalize before generalizing — start with one industry, win it, then expand.
- 02Treat voice as the surface, not the product. The product is reliable conversion of inbound intent.
- 03Build the dashboard the business owner actually uses, not the one that demos well.
The goal
Replace the missed-call problem in service businesses with a voice agent that pays for itself inside the first month.
Next step
Want this kind of system inside your business?
We take two Blueprint Sprints a month. Rodrigo reads every application and replies within two business days.