Language matching
A customer who writes in Arabic should be answered in Arabic, and one who switches to English should be followed.
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Dubai & the UAESaudi ArabiaBook a free auditWe build AI chatbots for businesses whose customers write in Arabic, English, or a mix of both. The bot answers from your own documents in the customer's language, collects lead details, and hands off to your team. We run the project in English; the bot's Arabic answers are tested against real questions and reviewed by an Arabic speaker on your side before launch.
Custom scope after consultation
Scoped, built, and documented by our founder. You get a fixed scope and price before work starts.
Most chatbot products are built for English first. They struggle with right-to-left text, mixed Arabic and English messages, and the gap between formal Arabic and how customers really write.
We build chatbots for businesses with Arabic-speaking customers. The bot answers from your own content in the language the customer used, and it is tested against real Arabic questions before launch. We run the project in English, and an Arabic speaker on your team signs off the answers.
A customer who writes in Arabic should be answered in Arabic, and one who switches to English should be followed.
Real messages mix dialect, English words, and Arabic written in Latin letters. The bot is tested on these, not only on formal text.
The chat interface must render Arabic correctly, including numbers, punctuation, and mixed-direction lines.
Every arabic ai chatbot development project starts with the business outcome, then the workflow, content, tools, prompts, and handoff rules are designed around that goal.
Your documents and FAQs, plus real customer questions in both languages.
Content is indexed so the bot can retrieve the right passage whichever language the question is in.
Formal or conversational Arabic, when to switch language, and what to hand to a person.
An Arabic speaker on your team reviews test answers; we adjust until they are right.
Answer policy, pricing, and process questions in Arabic and English from one knowledge base.
Collect the details your sales team needs in the customer's language and write them to your CRM.
Handle the first reply on your WhatsApp Business number at any hour.
These pages help connect arabic ai chatbot development with the wider automation system your business may need next.
Built by our founder. Client systems stay private, so these are the builds we can show in full.

A live retrieval-augmented (RAG) assistant that answers questions about our founder's work from his own documents, and says so when the answer is not in them. New files are picked up from Google Drive, split into passages, embedded, and stored in a vector database; every answer is written from the passages it retrieves.
Built with Python, FastAPI, OpenAI, LangChain, Pinecone
Published word for word, with the platform and date.
“Haseeb built an internal AI assistant for our team using our own documentation. The main thing we wanted was reliable answers instead of the usual generic AI responses. The RAG setup is working well and he also showed us how the system was structured so we can maintain it later.”
“Haseeb did exactly what we needed. The project was an AI agent for handling customer enquiries and pulling information from our internal knowledge base. The first version needed some tweaking but he was patient with the feedback and improved the responses a lot. The workflow is now running properly.”
Direct answers about how this service works, what it includes, and how it is priced.
Ask it directly. You get an answer from the engineer who would build your system.