Yes. Our chatbots support full Arabic NLP including Modern Standard Arabic and Saudi/Gulf dialects. We handle Arabic morphology, mixed Arabic-English input (Arabizi), right-to-left interfaces, and culturally appropriate responses. Arabic is not an afterthought but a first-class language in every bot we build.

We use a RAG (Retrieval-Augmented Generation) architecture that combines your business knowledge base with GPT-4, Claude, or open-source LLMs. This ensures the bot gives accurate, domain-specific answers rather than generic responses. We implement guardrails, content filtering, and fallback mechanisms for production reliability.

Absolutely. We build chatbots with a channel-agnostic architecture. The same bot logic deploys across WhatsApp Business API, website widgets, mobile apps, Telegram, Facebook Messenger, and more. Each channel gets optimized UI while sharing the same intelligence layer.

We work with whatever you have: FAQs, support tickets, product documentation, internal wikis, or even recorded conversations. Our team helps structure and clean the data. For LLM-based bots, even 50-100 FAQ pairs can produce excellent results with RAG architecture.

Yes. We implement intelligent escalation that detects when the bot cannot resolve a query or when the user requests a human agent. The handoff includes full conversation context so the agent can continue seamlessly. We integrate with Zendesk, Freshdesk, Intercom, and custom CRM systems.

Ongoing costs include LLM API usage (typically $50-500/month depending on volume), hosting ($20-100/month), and optional maintenance sprints for updates and improvements. We provide transparent cost breakdowns and help optimize token usage to minimize LLM costs.