CRM and sales decision
WAZZAP AI
A capable developer can reproduce the core WhatsApp auto-responder, lead qualification and booking flow in ~40 hours and modest monthly costs, but you will lose the vendor-managed polish, enterprise onboarding, GPT-5 access and some compliance/legal assurances that Wazzap AI advertises.
Visit website↗$29/mo
$348/yr
Read off the official pricing page.
$100one-off40 h to build
$150/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 6 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All WAZZAP AI alternatives, with the arithmetic →
What a replacement has to do
- Receive WhatsApp messages via webhooks → run an LLM to classify/compose replies and actions → persist conversation state and events → call calendar/CRM APIs to create bookings and sync leads → respond to WhatsApp via the Business Cloud API and expose an admin UI for logs/metrics.
What it still won’t have
- Access to vendor-provided GPT-5 model tier (the product advertises GPT-5 access)
- Polished, non-technical onboarding, hosted UI and managed service experience
- Vendor SLA, VIP onboarding and account support
- Built-in DPA/legal assurance and any vendor-managed compliance attestations out of the box
- White-label & domain-level branding included in higher tiers
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted WhatsApp AI assistant service using Node.js (Express) backend, Postgres DB, Redis (sessions/rate-limit), React admin UI, and deploy to a single DigitalOcean droplet or AWS t3.small. Core features in scope: 1) webhook receiver for WhatsApp Business Cloud API with message validation; 2) LLM integration via OpenAI-compatible API (configurable model/key) for reply generation and intent/slot extraction; 3) conversation and KB storage in Postgres with simple RAG-like retrieval for context; 4) Google Calendar integration to create and confirm bookings; 5) outbound sender to WhatsApp and webhook delivery status handling; 6) admin UI to view/search conversations, escalate to human, and show basic metrics (messages/day, unanswered). Out of scope: multi-tenant billing portal, white-label branding domain hosting, SOC/ISO certifications, deep CRM ecosystem integrations. Include retries, rate limit handling, logging, error handling, basic unit/integration tests, and Docker deployment scripts.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productWazzap AI — Home
- official pricingWazzap AI — Pricing
- official docsWazzap AI — Documentation
- open sourceArnasDon/wacrm
- open sourcekrayin/laravel-crm
Integrity checks
What held up, and what did not.
