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WhatsApp Business AI Chatbot: A Practical Guide
What it takes to run an AI assistant on WhatsApp Business: Meta verification, the inbound-first model, grounding answers in your own documents, and human handoff.
Read the postPractical guides on AI customer support: channels, RAG, tool actions, human handoff, voice, lead capture and querying your own database in plain language.
· 3 min read
What it takes to run an AI assistant on WhatsApp Business: Meta verification, the inbound-first model, grounding answers in your own documents, and human handoff.
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Plain-language questions over your own database can replace a report queue, but only if the SQL layer is read-only, deterministic and audited. Here is the design that holds up.
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Why retrieval-augmented generation is the difference between an assistant that represents your business and one that improvises, and what makes retrieval actually work.
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A lead you cannot trace is a marketing budget you cannot defend. How to wire landing pages, forms and first-touch UTM attribution into one pipeline.
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The difference between an AI assistant customers trust and one they fight is what happens when the AI reaches its limits. How to design handoff, takeover and resume properly.
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Browser voice calls, inbound phone answering and form callbacks: the three shapes of a voice agent, and how to add one to your site with a single snippet.
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