Launching a chatbot is easy; launching one customers trust is harder. The difference comes from a few decisions most teams skip: what the bot is allowed to answer, when it hands over to a person and how you measure whether it is helping.
1. Start from your real questions
Pull the most common questions from your inbox, help desk, WhatsApp or sales calls. They define the bot's job and become the test set you will use to check its answers before launch.
2. Ground it in approved content
Connect the bot to the documents, FAQs and policies you trust—and only those—using retrieval, so it answers from your sources and can show where an answer came from. When the answer is not in the content, it should say so rather than guess.
3. Design the handover
Decide when the bot should pass the conversation to a person: low confidence, complaints, sales-ready leads or anything sensitive. The handover should carry the conversation history, so the customer never has to repeat themselves.
4. Connect it to your tools
The most useful bots do something: capture a lead in your CRM, book a call, create a support ticket or check an order. Each action needs clear permissions and error handling.
5. Measure, then improve
Track resolution rate, handover rate, unanswered topics and customer feedback. Review conversations every week at first—most of the improvement comes from fixing gaps in the content, not from changing the AI model.
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