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FavCRM

Free
★ 1 • Updated Sep 1, 2026, 10:02 PM

FavCRM is a booking-first CRM platform designed for solo service professionals such as coaches, tutors, trainers, salons, and appointment-based businesses.

Use Cases ▼
01

Fitness studios use FavCRM to book classes, send reminders, renew packages, and re-engage inactive members.

02

Tutors and educators manage student sessions, parent updates, invoices, and follow-ups from one dashboard.

03

Professional services like consultants track client meetings, quotes, invoices, and next-step reminders.

04

Salons and wellness centers accept appointments with deposits, reduce no-shows, and maintain client profiles.

05

Developers and agencies build custom AI applications using FavCRM's MCP tools and API, leveraging its booking, billing, and CRM primitives.

What Problem It Solves ▼

Solo service professionals often struggle with fragmented tools for scheduling, client management, payments, and communication, leading to double bookings, no-shows, and administrative overhead. FavCRM solves this by providing a single platform that starts with a paid booking link and expands to a full CRM with automated reminders, client records, invoicing, and multi-channel messaging (WhatsApp, SMS, email). This centralizes client data, streamlines bookings and payments, and reduces manual follow-up, allowing service providers to focus on delivering their services.

Key Features ▼
✓

All-in-one platform combining booking, CRM, payments, and messaging, eliminating the need for multiple tools.

✓

Flat, affordable pricing with no commissions and a 14-day free trial.

✓

AI-agent compatibility with built-in guardrails (approval gates, audit trails, handoff) for safe automation.

✓

Quick setup (10 minutes) and user-friendly interface tailored for non-technical solo service pros.

✓

Extensible via MCP tools and API, allowing developers to build custom integrations and AI-driven workflows.

Overview

FavCRM is a booking-first CRM platform designed for solo service professionals such as coaches, tutors, trainers, salons, and appointment-based businesses. It starts with a simple paid-booking link that allows clients to schedule and pay, then grows into a full workspace with customer records, payments, WhatsApp messaging, campaigns, and AI-driven operations. The platform consists of three integrated products: Booking Lite for paid appointments, WhatsApp CRM for shared inbox and broadcast messaging, and WorkSpace AI, which provides AI agents capable of reading, drafting, and executing CRM tasks via MCP tools. FavCRM offers core business modules including contacts, bookings, invoices, campaigns, commerce, and messages, all built on a unified backend. The system includes guardrails for AI agent interaction: scoped tool permissions, approval gates for sensitive actions, audit trails for every operation, and operator handoff to escalate uncertain tasks. With a flat pricing model (starting at $9.90/month for Booking Lite), no commissions, and a 10-minute setup, FavCRM aims to reduce no-shows, automate follow-ups, and give solo pros a single workspace to manage and grow their business. For developers and agencies, FavCRM provides MCP and REST API access to build custom applications on top of its production-ready business records.

Pros & Cons

Pros

+

All-in-one platform combining booking, CRM, payments, and messaging, eliminating the need for multiple tools.

+

Flat, affordable pricing with no commissions and a 14-day free trial.

+

AI-agent compatibility with built-in guardrails (approval gates, audit trails, handoff) for safe automation.

+

Quick setup (10 minutes) and user-friendly interface tailored for non-technical solo service pros.

+

Extensible via MCP tools and API, allowing developers to build custom integrations and AI-driven workflows.

Cons

−

Primarily designed for solo service pros; may lack advanced features needed by larger teams or enterprises.

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WhatsApp integration requires a separate Meta business account and incurs pass-through fees.

−

AI agent features are still emerging and may not cover all edge cases for complex business logic.

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