Start by deciding whether visitors need a conversation, a clear page, or a short form. If a website agent fits, plan when a person takes over and how you will judge the pilot. What is a website AI agent? explains the concept.
This path is for website owners and teams responsible for service inquiries, lead intake, or visitor support.
Decide whether the experience fits
Start with what is a website AI agent?. Map the questions visitors ask before selecting features. Some needs are best served by a clear page or a short form; others benefit from a conversation that gathers context and directs the visitor to an appropriate next step.
Design the conversation around a useful outcome
For a service inquiry, a useful outcome might be an accurate answer and a brief summary a staff member can review. Agree on which details the summary needs. Ask only for information needed for the task, and explain what the next step involves.
Map the exchange in order: answer from published information, clarify a missing detail, then offer a next step. When the answer is uncertain or needs a person, pass the question and relevant context to the team.
Prepare answers to practical questions: What should happen when the published information is insufficient? Can the visitor reach a person? What happens outside staffed hours? How will the experience avoid implying that an unconfirmed request is already booked or accepted?
Use human review and escalation guidance to make those paths explicit.
Judge the pilot by visitor progress
In the evaluation guide, choose cases that reflect visitor intent, ambiguous questions, missing information, and failed handoffs. Inspect answer usefulness and handoff completeness separately. A longer conversation does not by itself mean the visitor got more help.
Explore AI Front Desk for AgentShelf's website-facing product experience, or review knowledge and tools before preparing the underlying resources.
All guides in this topic
- Website AI Agents: A website AI agent uses approved information and bounded actions to answer visitors, guide next steps, and hand off exceptions.
- How to Design a Website AI Agent Knowledge Base: Build website context from current public pages with clear owners, scoped visitor questions, and tests for missing or conflicting details.
- How to Measure Website AI Agent Quality: Measure whether website answers are useful and supported, and whether handoffs reach the right person with enough context.
- Human Handoff for Website AI Agents: Define when a website agent should pause, what context to pass, who accepts the request, and what the visitor sees while waiting.
- Website AI Agent vs. Chatbot vs. Live Chat: Choose a visitor conversation approach by how fixed the questions are, what approved information can answer, and when a person must be available.