An Arabic chatbot that understands MSA and Gulf dialects, answers from your approved content on WhatsApp and web, handles simple requests, and hands over to a person with a full summary when needed.
"WhatsApp never stops, and our team can't keep up." In Oman and the GCC, WhatsApp is the channel customers prefer, and messages arrive around the clock: prices, appointments, branch locations, order status. Most are repetitive, but each one waits its turn.
At peak times and after hours, replies slip by hours and customers go to a competitor who answers faster. Some companies tried older button-menu bots and found they couldn't understand a question typed in Omani or Gulf dialect, frustrating customers instead of helping them.
Worse, when the bot fails, the customer starts again from scratch with an agent and has to explain everything twice.
We build an Arabic chatbot on modern language models that understands questions the way your customers actually type them, and answers only from your own content. It's part of our AI solutions, and we always simplify the customer journey before automating it.
We test the bot on real customer messages (with personal data masked), including Omani and Gulf dialects, common misspellings and mixed Arabic-English text. Together we agree an acceptable accuracy level before launch.
The bot draws on a knowledge base we build from your policies, prices, product guides and FAQs, so it doesn't invent answers. When it can't find one, it says so plainly and hands over.
We connect the bot to the official WhatsApp Business Platform and your website, with one place to manage content and reports. It can handle simple requests such as booking an appointment, tracking an order or logging a complaint by connecting to your systems, or pass more complex work to AI agents.
When a customer asks for a person, the topic is sensitive, or the bot's confidence drops, the conversation moves to your team with a clear summary. The customer doesn't repeat themselves; your agent picks up where the bot left off.
We track automatic resolution rate, handover rate, response time and customer satisfaction, and refresh the knowledge base monthly. Conversation storage and retention follow Oman's Personal Data Protection Law. If customers send documents in chat, we connect them to intelligent document processing, and conversation data can feed predictive analytics. See also our Arabic WhatsApp chatbot guide.
Early pilots typically aim for the bot to resolve 30–50% of repetitive questions with no human involvement, with instant 24/7 replies. That share grows as we add content based on what customers actually ask. Just as important, your team is freed for the conversations that need real expertise and empathy.
We analyse current conversations and define recurring questions, bot scope and handover rules.
We build the knowledge base, configure the bot and connect it to WhatsApp, web and your systems.
We test on real messages, then launch to a segment of customers and measure results.
We refresh content and widen the range of questions and actions based on the reports.
55%
of bookings completed by the assistant with no staff input
An illustrative example of an Arabic WhatsApp assistant that books, changes and cancels appointments around the clock for a Muscat clinic group, connected directly to the clinic system, with reminders and smooth hand-off to staff.
Read the case studyWhat to know before launching a WhatsApp chatbot: the official WhatsApp Business Platform, Gulf dialect understanding, handover to agents, CRM integration, template and opt-in rules, and how to measure success.
Book a free 30-minute consultation. We will map one process with you and show where the savings are, with no obligation.
