Frequently Asked Questions

Rule-based bots follow fixed scripts and respond only to exact keyword matches. AI chatbots use natural language processing to understand intent and context—handling varied phrasing, typos, and follow-up questions naturally. They learn from conversations and improve over time.

AI chatbots maintain conversation context across multiple messages, remember previous interactions, and ask clarifying questions when needed. When queries exceed their training, they seamlessly escalate to human agents with full conversation history intact.

Yes. Modern AI chatbots detect language automatically and respond in the customer's preferred language. Multi-language support can be configured based on your target markets—the AI handles translation and cultural nuances.

Start with your existing FAQs, product documentation, support ticket history, and common customer questions. The AI learns your business terminology, tone of voice, and domain-specific knowledge. Most businesses have enough content in existing materials to get started.

With platforms like Duzel, most businesses go live within days—not months. Initial setup takes a few hours: connect WhatsApp, upload knowledge base content, configure basic flows. Fine-tuning happens continuously as you review conversations.

No. Modern platforms provide no-code interfaces for training, configuration, and management. You can update responses, add knowledge, and adjust settings without technical expertise. Developers can use APIs for advanced customizations if needed.

Yes. AI chatbot platforms integrate with CRMs (Salesforce, HubSpot), helpdesks (Zendesk, Freshdesk), e-commerce platforms (Shopify, WooCommerce), and custom APIs. This allows the chatbot to access customer data, update records, and trigger workflows automatically.

The chatbot connects to WhatsApp through the official Business API, which requires Meta verification. Platforms like Duzel handle API setup, compliance, and webhook management—you don't need to manage infrastructure directly.

Yes, with customer opt-in. You can send order updates, appointment reminders, promotional messages, and re-engagement campaigns. WhatsApp has policies around message templates and timing to prevent spam.

Well-trained AI chatbots typically resolve 60-80% of customer inquiries without human involvement. The exact percentage depends on your industry, inquiry complexity, and knowledge base quality. Even partial automation significantly reduces support costs.

Key metrics include: resolution rate (conversations resolved without human help), response time, customer satisfaction scores, cost per conversation, and agent time saved. Compare these to your baseline metrics before automation.

Yes. AI chatbots learn from every conversation—identifying patterns, new questions, and successful resolution paths. Regular review of conversation logs helps identify knowledge gaps and improvement opportunities.

Reputable platforms use enterprise-grade security: encryption in transit and at rest, SOC 2 compliance, GDPR adherence. Data access is controlled, and conversation logs can be configured for automatic deletion based on your retention policies.

AI chatbot platforms should support: consent collection before conversations, data access/deletion requests, clear privacy policies, and data processing agreements. Ensure your provider offers GDPR-compliant data handling.

Yes. Best practice is to provide clear opt-out options and immediate escalation to human agents when requested. Respecting customer preferences builds trust and is often required by messaging platform policies.