An AI receptionist that never misses a call

Voice AI answers the phone, handles the common asks, books appointments, and hands real conversations to humans, turning after-hours and overflow calls into booked revenue.

1. 1

   Scope the calls it should own

   Best first scope: after-hours calls and overflow when the team cannot answer. It handles hours, location, service questions, and booking; everything else takes a message or transfers.

2. 2

   Configure the agent

   Set the greeting (identify the business AND that it is an AI assistant), voice selection, and the goals: answer FAQs from the knowledge base, book on the right calendar, capture name and number always.

3. 3

   Feed it the same truth

   Knowledge base parity with Conversation AI: services, hours, pricing posture, policies. Divergent knowledge between your bots creates contradicting answers.

4. 4

   Define transfer and message rules

   Business hours: attempt transfer to the team line for qualified calls. After hours: capture the need, promise the callback window, log it as a conversation with an internal notification.

5. 5

   Attach it to the number deliberately

   Route it as the after-hours and no-answer fallback first, not the primary greeting. Earn its place on the front line with call reviews.

6. 6

   Review recordings weekly

   Listen to a sample: where it shined, where it stumbled, what callers asked that the knowledge base lacked. Tune monthly like a team member in training.