CRM · own product
Amanah CRM
CRM for real-estate agencies in Kyrgyzstan: WhatsApp inbox, listings, deals and an AI assistant.
- Years
- 2026
- Type
- CRM · own product
- Languages
- RU
- Team
- Muhammad Khasanza.


Challenge
At real-estate agencies, leads land in agents' personal WhatsApp chats and the client and owner base lives on their phones. The goal was a ready-made CRM built around agency workflows: every enquiry in one pipeline, listings and viewings in one system, and a client base owned by the agency rather than by individual agents.
What we built
- 01
WhatsApp inbox: the agency's chats inside the CRM, incoming enquiries flow into the pipeline; Telegram and Instagram webhooks as well.
- 02
Kanban deal pipelines with drag-and-drop, clients, tasks, viewings, approvals.
- 03
Property catalogue with a map and public share links for a single listing or a curated selection.
- 04
Telephony: calls and call recordings in the client card via a PBX webhook.
- 05
AI assistant: chat and deal "health" scoring, deal data extraction from chats, listing description generation, suggestions; multiple AI providers with fallback.
- 06
Role-based access enforced in the database (Supabase RLS), multi-tenancy and a separate platform console for companies and billing.
- 07
PDF contract generation, campaigns, scheduled reminders, analytics, push notifications (PWA).
Stack
- Next.js
- React 19
- TypeScript
- Tailwind CSS 4
- shadcn/ui
- Supabase (Auth
- PostgreSQL
- Storage
- Realtime)
- Zod
- React Hook Form
- Recharts
- Leaflet
- React-PDF
- Anthropic / OpenAI / Gemini / Groq APIs
- Resend
- Sentry
- PostHog
- Vercel.

Next case
БЭС Монтаж
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