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Duyuz

AI Chatbots Grounded in Your Real Answers

AI chatbots grounded in your approved content for support deflection and lead capture β€” with escalation paths. Built by Duyuz.

Duyuz designs AI chatbots that answer from approved knowledge β€” policies, product facts and FAQs you control β€” then escalate to humans when confidence is low or the topic is sensitive. We focus on measurable deflection and qualified lead capture, not novelty widgets. Implementation includes conversation design, guardrails, analytics and a content update process so answers stay accurate as your offer changes.

Support versus sales chatbots

Support bots need accurate policies and clear escalation. Sales bots qualify intent, capture contact details and book or hand off. Mixing both without routing rules creates frustrating loops. We define intents and handoff criteria up front.

Grounding and hallucination control

Bots should refuse or escalate when knowledge is missing. We structure source documents, test edge cases and log unanswered questions for content gaps. Invented pricing or medical/legal advice is out of scope unless your counsel approves exact copy.

Channels and integration

Web widget, WhatsApp or other channels are chosen based on where customers already ask. CRM integration ensures leads and tickets are owned by people, not lost in chat logs.

Continuous improvement

Transcript review becomes a weekly habit. New FAQs feed the knowledge base. Success metrics include containment rate for approved topics and lead quality β€” not chat volume alone.

What's included

  • Conversation designβœ“
  • Knowledge grounding setupβœ“
  • Widget/channel launchβœ“
  • Analytics and improvement cadenceβœ“
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FAQ

Can a chatbot replace our support team?

It can deflect repetitive questions; humans remain essential for exceptions and relationship work.

How do you keep answers accurate?

Approved source content, refusal behaviour, testing and a content owner who updates materials.

Do you build lead-generation chatbots?

Yes. See the lead-generation child page when published; for now we scope capture fields and qualification questions in the proposal.

Last reviewed: 2026-09-20