Self-hosted multi-tenant AI voice receptionist MVP
Voice Receptionist SaaS
A voice receptionist platform for agents, knowledge bases, calls, recordings, leads, appointments, phone numbers, subscriptions, and provider settings.
Business Problem
The friction this project addresses.
Small businesses miss calls and need a configurable receptionist system that can capture leads and appointments without locking them into a single AI provider.
Solution
How the system responds.
A self-hosted MVP with tenant accounts, voice agents, provider selection, knowledge base uploads, Twilio and SIP webhook stubs, analytics, admin APIs, tests, Docker, and metrics.
Features
Core product capabilities.
- Voice agent CRUD
- Knowledge base uploads
- Call history
- Lead capture
- Appointment booking
- Provider settings
Technology Stack
Implementation foundation.
Business Impact
Why the system matters.
- Demonstrates AI receptionist architecture
- Supports local or hosted deployment paths
- Creates a base for real telephony integration
Lessons Learned
Implementation lessons.
- Provider flexibility matters in AI systems
- Operational AI products need analytics, admin controls, and clear persistence boundaries
FAQ
Project questions.
What does this project prove?
Voice Receptionist SaaS proves Secunda24 can turn a real operational problem into a structured, demo-ready system.
Can this pattern be adapted?
Yes. The same intake, workflow, dashboard, and integration patterns can be adapted for other business processes.
Want a system like Voice Receptionist SaaS?
Book a practical automation consultation and map the system that should exist next.