How businesses can use AI chatbots for customer support

Export a month of real questions. Group them. The largest honest groups are the intents: order status, opening hours, booking change, document request. Everything rare or angry is an escalation, not a prompt you hope will cope. This is more useful than a workshop that invents personas.

If the answers are not written down anywhere, the bot project is actually a content project. Budget it that way. A model will not discover your returns policy from tone of voice.

Status lookups are the first integration worth doing, because the customer can see that the answer matches the system. Changes, such as a cancellation or a new appointment, come later, with a confirmation step and a log. A bot that “takes an action” by typing into a screen someone cannot audit is not automated support. It is an incident in slow motion.

WhatsApp and the website can share intents. They should not share a lack of handover. The customer who asks for a person gets a person, on the same thread, during the hours you promised.

Containment is a dangerous sole target. A bot can raise containment by refusing to escalate. Measure resolved intents that stayed correct, escalation time, and the transcripts a reviewer marks as wrong. Read those weekly at the start. The chatbot development page and the cost guide are the practical companions. The hotel sample shows one shape, labelled as a sample.