1. Sort the questions before choosing the channel
AI assistants fit repeatable, documented questions such as hours, services, delivery areas, and policies. Human chat is stronger when the visitor needs judgment, negotiation, empathy, or a bespoke answer.
2. Set the source boundary
List the pages, documents, and policies the assistant may use. A confident answer outside the approved material is a liability, so define what happens when the source is missing or stale.
3. Design the handoff before the launch
Show visitors how to reach a person, when that person is available, and what the assistant must never handle alone. Test an uncertain question and an urgent request before inviting real traffic.
4. Compare total operating cost
Count setup, source maintenance, conversation limits, human review, integrations, renewal, and cancellation—not just the headline monthly price. A cheap tool that needs constant correction may cost more.
5. Review privacy and ownership
Document what visitors can submit, where it is stored, who can access it, how long it is retained, who owns the account, and what remains if the tool is removed.
6. Measure the outcome that pays
Track qualified inquiries, resolved questions, successful handoffs, booked calls, and support cost. Chat volume alone is activity, not proof that the channel helped the business.