Solution guide · AI on AWS + NVIDIA
WhatsApp AI Agents in Arabic and English, Connected to Your CRM and Running on AWS
Customers in the Middle East expect fast answers on WhatsApp, in Arabic or English, at any hour. Here's how we build an AI agent that answers, looks up orders and hands off to your team.
- WhatsApp Business Platform
- AWS
- NVIDIA NIM
- NeMo Retriever
- NeMo Guardrails
- Zoho · Odoo · Business Central
This is a solution guide: it shows how we design and build this kind of system. It is not a client case study. See a related case study →
Why a basic chatbot isn't enough
Button-menu bots break as soon as a customer types freely, mixes Arabic and English or uses a local dialect. Customers then wait for a person, often until the next working day.
- Customers write in Gulf, Levantine or Egyptian Arabic, in English, or in Arabizi (Arabic in Latin letters).
- Answers need live data, such as order status, stock or appointment times.
- Sensitive data can't go to tools you don't control.
- Staff need the full conversation when a chat is handed over.
- Managers can't see what customers ask most.
What we build
We build the agent as part of your systems, not as a separate chatbot.
Natural Arabic and English
The agent understands free text, mixed languages and Arabizi, and replies in the customer's language.
Answers from your own knowledge
It answers from your approved documents, price lists and policies, using NVIDIA NeMo Retriever to find the right passage.
Live lookups in your systems
With permission, it checks orders, bookings, invoices or stock in Zoho, Odoo or Business Central.
Guardrails
NVIDIA NeMo Guardrails keeps the agent on approved topics and blocks requests for data it should not share.
Human handoff
Complaints, payments and unclear cases go to the right team with the full conversation and a short summary.
Reports
Managers see top questions, handoff reasons, response times and sales leads from chat.
How a conversation flows
- MessageA customer writes on WhatsApp, in any mix of Arabic and English.
- RouteThe message reaches your agent service on AWS through a secure webhook.
- ThinkThe model, served with NVIDIA NIM, reads the message and picks the tool or document it needs.
- CheckGuardrails confirm the answer uses approved data and fits your rules.
- Reply or hand offThe customer gets an answer in seconds, or a person takes over.
- RecordThe conversation and its outcome are saved in your CRM.
Our recommended stack on AWS
| Layer | Tool | What it does |
|---|---|---|
| Channel | WhatsApp Business Platform (Cloud API) | Messages, templates, media |
| Entry point | Amazon API Gateway and AWS Lambda | Secure webhooks and routing |
| Agent service | Amazon EKS | Agent logic, tools, memory |
| Language model | NVIDIA NIM on GPU instances | Arabic and English language model |
| Knowledge | NVIDIA NeMo Retriever with a vector database | Search across your documents |
| Safety | NVIDIA NeMo Guardrails | Topic and data rules |
| Systems | Zoho, Odoo, Business Central or custom APIs | Orders, bookings, customer records |
Typical rollout plan
- 1 weekDesignWe agree what the agent answers, what it looks up and when it hands off.
- 2–4 weeksBuildWe set up the AWS environment, model, knowledge base and system connections.
- 1–2 weeksTestYour team tests real questions in Arabic and English, and we tune the answers.
- 1 weekLaunchWe go live on your WhatsApp number and review conversations daily at first.
What to prepare
- Your WhatsApp Business account and phone number
- FAQs, policies, price lists and product data
- API access to your CRM or ERP
- Who takes over chats, and during which hours
- Topics the agent must never answer
Common questions
Can it understand Gulf and Levantine dialects?
Modern multilingual models handle common dialects well. We test with your real customer messages and tune instructions and examples where answers fall short.
Does customer data leave our control?
The model runs with NVIDIA NIM inside your AWS account, so conversations and lookups stay in your environment. WhatsApp itself is run by Meta, under Meta's terms.
Can we start without our own GPUs?
Yes. Some teams start with a managed model service on AWS and move to NIM on their own GPU instances as volume grows. We design the agent so the model can be swapped.
How is this different from a button-menu bot?
Menu bots follow fixed paths. An AI agent understands free text, looks up live data and knows when to call a person.
Want an AI agent on your WhatsApp?
Send us your 20 most common customer questions. We'll show you how the agent would answer them, in Arabic and English.
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