روبوت الدردشة لخدمة العملاء بالذكاء الاصطناعي

Frequently asked

Questions we get from people about to book.

Which model do you use?

Depends on requirements. We deploy on Claude, GPT-4 class models, or open-weight Mistral / Llama for data-sovereignty-strict customers. The model choice is part of discovery, not a default.

How accurate is it?

Stores with a structured knowledge base typically see 70 to 85 percent of customer queries resolved without human escalation. The remaining queries escalate to human agents with full conversation context attached.

Will it replace our human team?

No, it makes them more effective. Routine queries deflect to the bot; complex queries reach humans faster with context. Most stores see a 40 to 60 percent reduction in routine ticket volume.

What about hallucinations?

We use retrieval-augmented generation (RAG) so responses are grounded in your knowledge base, not the model parameters. Responses cite the source document. Confidence thresholds escalate uncertain queries to humans automatically.

Can we update the knowledge base ourselves?

Yes. The bot pulls from a structured source (Notion, Confluence, your own CMS) that your team maintains. Changes propagate to the bot within minutes.