Customer Support Automation in Saudi Arabia

We design transparency into the experience — the bot identifies itself when relevant, and customers can always ask for a human and get one. The goal is honest, useful AI, not deceptive automation. In practice most customers care about getting their problem solved fast more than about whether the first reply came from a person.

Anything classified as a complaint, refund request, or VIP escalation goes directly to the right human agent with the full conversation, customer history, and the AI's best-guess intent attached. The handoff is seamless — the customer does not repeat themselves.

Yes. Most Saudi deployments use Arabic as primary with English fallback. The bot detects the language of each customer message and responds in the same language — including switching mid-conversation if the customer does.

We build a knowledge base from your existing materials — product catalog, FAQs, return policy, shipping rules, terms. The AI answers only from this knowledge, and when it doesn't know, it says so and escalates instead of making things up.

You edit the knowledge base; the AI's answers update with it. We provide a simple interface so your team — not us — owns the knowledge content. The AI is the engine; your team owns the truth.

A focused rollout typically goes live in 3–5 weeks — about 1–2 weeks for knowledge-base setup and conversation design, 1–2 weeks of pilot tuning, then full cutover. The pace depends on how clean your existing customer-facing content is.

Yes. Every ticket has a clock, a priority, and an SLA target. The system measures first-response time, resolution time, escalation rate, and aging, and surfaces breaches on the team's dashboard — and via WhatsApp alert when something is about to miss. SLA reporting is built in, not bolted on.

By default we keep the full conversation history per customer indefinitely inside your ticketing system or CRM — so when a customer returns six months later, the next agent (or the AI) has the complete background. Retention policies can be tightened if your industry or jurisdiction requires it.

Yes — sentiment analysis runs on every inbound message in Arabic and English. When a conversation shifts negatively, the system tags the ticket, raises its priority, and routes it to a senior agent. We use this to catch escalations early instead of after a public complaint.