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WhatsApp AI Chatbot
In the Gulf, South Asia, Latin America and much of Europe, WhatsApp is the default business channel. It also has rules that shape what you can build.
The rules that shape the build
WhatsApp is not email. Understanding the constraints before design saves an expensive rebuild.
Outside a 24-hour customer-initiated session window, you can only send pre-approved template messages, and templates take time to get approved and must fit defined categories. Inside the window, free-form conversation is allowed. Pricing is per conversation, categorised by whether it is marketing, utility, authentication or service.
Opt-in must be recorded before you message anyone, and quality ratings fall if recipients block or report you — which restricts your sending limits. We design the conversation flow around these mechanics rather than discovering them at launch.
- Opt-in captured and recorded before the first message
- Template library designed and submitted early for approval
- Session-window logic handled automatically in the flow
- Conversation-category pricing modelled before launch
- Quality rating monitored with alerting
- Media, location and interactive buttons used where they reduce turns
- Human handoff into a shared agent inbox
WhatsApp use cases we build
Customer support
Order status, account queries and troubleshooting in the channel customers prefer.
Lead qualification
Respond to ad and website enquiries within seconds and qualify conversationally.
Appointment booking and reminders
Book, confirm, remind and reschedule with confirmed delivery.
Order and delivery updates
Utility templates with live tracking and a reply path.
Payment and renewal reminders
Polite, scheduled follow-up with a payment link.
Document collection
Collect KYC and onboarding documents directly in the chat, validated on receipt.
Platform and system integration
- WhatsApp Business API via an official Business Solution Provider
- CRM record linking and conversation history
- Order, booking and payment systems
- Shared agent inbox for human takeover
- Document validation and storage
- Analytics on delivery, read, reply and conversion
Ten stages from first call to a system your team trusts
Every AI engagement runs this sequence. Small projects compress stages; regulated projects expand them. Nothing gets skipped silently.
Discovery
A working session with your operations and engineering leads to map the process, the systems it touches, and where the cost actually sits.
AI Opportunity Assessment
We score candidate use cases on data readiness, volume, error tolerance and payback, then rank them. Some come back "do not use AI for this" — you get that answer too.
Solution Architecture
Model selection, retrieval design, tool boundaries, data flow, failure modes and hosting topology, documented before code.
Proof of Concept
A narrow build against your real data to prove accuracy on the cases that matter, typically 2–4 weeks. Go / no-go decision at the end.
MVP
One workflow, end to end, in the hands of real users. Evaluation sets and quality thresholds are defined here, not retrofitted.
Production Development
Hardening: error handling, retries, fallbacks, cost controls, rate limits, observability, and a human escalation path for every automated decision.
Integration
Wiring into your CRM, ERP, HRMS, data warehouse, ticketing and messaging channels through APIs, webhooks and event queues.
Security Testing
Prompt-injection testing, access-control verification, PII handling review, dependency scanning and penetration testing before go-live.
Deployment
Staged rollout on your cloud or ours, with CI/CD, versioned prompts and models, and rollback in place from day one.
Monitoring & Optimization
Quality dashboards, drift detection, cost-per-transaction tracking and a retraining or re-prompting cadence agreed in writing.
Security-conscious architecture, from the first design review
Enterprise AI fails on governance more often than on models. Every system we build is designed to support enterprise security requirements and to give your risk team answers rather than assurances.
Data privacy & residency
Your data stays in the region and tenancy you nominate. We architect for no-training-on-your-data configurations and document exactly which vendor endpoints see which fields.
Role-based access control
Retrieval and tool permissions inherit your existing roles. A user cannot surface a document through the AI that they could not open directly.
Authentication & authorization
SSO via OIDC/SAML, short-lived tokens for agent tool calls, and per-tool scopes so an agent holds the narrowest possible privilege.
Encryption
TLS in transit, AES-256 at rest, managed keys via your cloud KMS, and encrypted vector stores for embedded content.
API security
Gateway-level authentication, signed webhooks, IP allowlisting, request validation and quota enforcement on every exposed endpoint.
Audit logging
Every prompt, retrieval, tool call, model version and human override is logged with a trace ID, so any output can be reconstructed months later.
Data isolation
Per-tenant separation at the storage, index and key level for multi-entity groups and regulated environments.
Secure prompt handling
System instructions are server-side, user content is treated as untrusted input, and we test against prompt-injection and tool-abuse patterns.
PII protection
Detection, masking or tokenisation of personal data before it reaches a model, with configurable redaction policies per field.
Human approval workflows
High-impact actions — payments, refunds, contract sends, record deletion — route to a named approver instead of executing autonomously.
Monitoring & anomaly detection
Alerting on unusual tool usage, cost spikes, refusal rates and quality regressions.
Rate limiting & abuse control
Per-user and per-tenant throttles, spend caps and circuit breakers so a runaway loop cannot become a runaway invoice.
Secure deployment
Private networking, secrets in a managed vault, immutable builds, dependency scanning, and infrastructure as code.
Questions enterprise buyers ask us first
What does WhatsApp Business API cost?
Why can we not message customers whenever we want?
Can a human take over the conversation?
Can it handle images and documents?
Talk to an AI solution architect
No junior sales rep, no discovery deck. The person on the call is the person who will design the system.
- Response within one business day
- Mutual NDA signed before detailed discussion
- Written scope, one price, one delivery date
- You own all source code, models and IP at launch
Bring us the process that is costing you the most.
Book a 45-minute call with a solution architect. You leave with a use-case shortlist, a reference architecture sketch and a realistic build envelope — whether or not you build it with Ezulix.