The opportunity Customers expect answers straight away, at any hour. Generative AI makes it possible to answer most routine questions instantly, in natural language, on your website and WhatsApp. The challenge is accuracy: a chatbot that sounds confident but is wrong damages trust. This blueprint shows how we would build a support chatbot that stays accurate and knows when to hand over. What leading platforms do Leading customer-service platforms now build AI assistants into their products, and many large companies have publicly shared that AI now handles a large share of their routine support conversations. The approach that works is known as retrieval-augmented generation: instead of relying on the model's general knowledge, the chatbot first finds the relevant parts of the company's own help content, then writes an answer based only on that. Clear handover to a person, with the conversation history attached, is the other essential piece. Key features Answers from your own help pages, policies and FAQs Works on your website and WhatsApp Understands follow-up questions in context Looks up orders or bookings when connected to your systems Collects details and creates support tickets Hands over to a person with the full conversation Supports multiple languages Reports on common questions and gaps in your content How it is built 1 Knowledge base Your approved content is split into sections and indexed so the right passages can be found quickly. 2 Retrieval Each question is matched to the most relevant passages before an answer is written. 3 Answer generation A language model writes a clear answer using only the retrieved content, with instructions to say when it does not know. 4 Integrations Optional connections to order, booking or ticketing systems for account-specific questions. 5 Handover and analytics Routes conversations to your team and shows what customers ask most. Typical technology OpenAI Python Laravel React WhatsApp API MySQL Build stages Stage 1 Collect and clean content Gather your help content and fix outdated or missing answers first. Stage 2 Build and test Build the chatbot and test it against real questions from past conversations. Stage 3 Soft launch Launch on one channel with close monitoring and quick content updates. Stage 4 Grow Add WhatsApp, order lookups and more languages once accuracy is proven. Risks and how to manage them Confident wrong answers Answer only from retrieved content, and say "I don't know" otherwise. Frustrated customers Always offer a quick route to a person. Outdated information Update the knowledge base whenever policies change. Frequently asked questions Can the chatbot answer from our own documents? Yes. It is built to search your approved content first and answer from it, rather than from general knowledge. What happens when the chatbot cannot help? It hands the conversation to your team, with the full history, so the customer does not have to repeat themselves. Can it work on WhatsApp? Yes. The same assistant can run on your website and on WhatsApp through the WhatsApp Business API. Build it with CodecFactory Our AI Chatbots & Automation team can take this blueprint from idea to launch. We start with a free consultation and a written, fixed quote. Get a Free Consultation More blueprints → This blueprint is a research guide based on our study of leading platforms and public information. It is not a client case study. Platform and product names belong to their owners.