Faster answers, with a clear path to a person.

Build an approved knowledge base

Collect opening hours, meeting points, rates, inclusions, policies and recurring questions. Assign an owner and a review date to that information. When a detail is missing or ambiguous, the assistant should ask for clarification or hand over, not invent an insurance promise, refund decision or safety assurance.

Knowing an answer is different from taking action

Saying that airport pickup is offered is different from confirming a vehicle is available. Live availability checks or reservation creation require authorized system integration, validated inputs and an auditable result. These actions are explicitly scoped rather than silently included in a question-answering chatbot.

Make handoff useful for the team

For refunds, policy exceptions or unresolved questions, capture the topic and necessary context for staff. Define who owns the next action and where the queue is checked. The guided demo records a handoff inside its operations screen. It does not send an external message or imply a person is monitoring the sample conversation.

Test languages and keep usage visible

Before activation, test ordinary questions, missing information, attempts to push the assistant outside scope and escalation in both Thai and English. Agree model-usage budgets and periodic answer reviews. Provider fees and model usage are separate from setup. A production assistant is evaluated against your information, not judged by a scripted demonstration alone.

What we plan and deliver

• Approved knowledge structure
• Answer boundaries and escalation rules
• Scoped Thai and English conversations
• Test questions and acceptance review
• Usage plan and accountable operator
• Knowledge maintenance instructions

What we need from you

Recurring real questions, approved policies, an escalation owner and the selected provider accounts. Avoid unnecessary personal customer data.