Turn WhatsApp Into Your Agency's Recurring Revenue Machine

Deploy unlimited AI receptionists for your clients. One core. One command. Infinite instances. 85–95% margin.

npm install -g conny-ai
See the business model →

Calculate Your MRR

Active Clients 10
Average Monthly Charge
Monthly Revenue
$2,970
API Cost
$100
Annual Projection
$35,640

Built for Any Industry

Restaurants

Reservations, menu queries, and opening hours automatically handled.

$147–297/mo

Salons & Spas

Bookings, service prices, upsells, and appointment reminders.

$197–397/mo

Real Estate

Immediate lead qualification and property listing details on demand.

$297–597/mo

Medical/Dental

Patient consultations, pre-screening, FAQs, and scheduling.

$347–697/mo

E-commerce

Order tracking, returns processing, and instant customer support.

$197–497/mo

Gyms

Class schedules, membership renewals, and facility information.

$197–397/mo

Deploy at Scale

1

Install & Train

Set up Conny core on a single VPS. Create your first persona using natural language rules and knowledge base documents.

2

Clone to Clients

Deploy completely isolated instances for each client. They share zero state, meaning strict data privacy across your portfolio.

3

1-Click Core Sync

Clients pay you monthly. When you update the core AI engine, push improvements to all instances simultaneously with a single command.

Hub-and-Spoke Architecture

Your Conny Core
Restaurant A
.env | db | persona
Salon B
.env | db | persona
Medical C
.env | db | persona
Add Client
conny sync --add

Why Agencies Choose Conny

Feature Voiceflow n8n / Zapier Custom Build Conny ✓
Cost Structure $50+/mo per client Per execution ($$) $10k+ fixed cost $6/mo flat (VPS)
Vendor Lock-in Yes Yes No No (Open Source)
Multi-Tenant Architecture Pay per instance Complex logic Built-in Built-in
Global Upgrades Manual updates Manual updates Manual deployments 1-Command CLI