An AI receptionist that answers, books and hands callers to the right person

What does an AI receptionist handle on an inbound call?

It handles the calls your front desk takes dozens of times a day: are you open, where are you, do you take my insurance, can I book, can I move my appointment, can I speak to someone. Answers come from a knowledge sheet you approve, so the AI says what your staff would say.

We design the call flow around intents. For each intent we define what the AI may answer, what it must collect (name, phone number, reason for the call, preferred time) and when it should stop and hand over. Anything outside the list, an upset caller or a request the AI is unsure about goes to a person or a callback queue, never to a guess.

• Greeting with your business name and an AI disclosure where required.
• FAQs answered from an approved knowledge sheet.
• New bookings, reschedules and cancellations.
• Message taking with structured fields instead of free-text voicemail.
• Routing by department, location or caller type.

How does an AI receptionist book appointments?

It checks live availability through your calendar or booking system's API, offers open slots and writes the confirmed appointment back while the caller is still on the line. We connect to Google Calendar, Microsoft 365 calendars or the scheduling tool you already use, provided it exposes an API.

Booking rules come from your team: appointment types and lengths, buffer time, which staff can take which services, and how far ahead people can book. The caller gets a text confirmation from your Twilio number, and the booking appears in the CRM with the call summary attached, so nobody retypes it.

How do call routing and live transfer to staff work?

The AI decides where a call should go, then either transfers it live or books a callback. A warm transfer passes a short spoken or on-screen summary to the staff member so the caller does not repeat themselves.

Routing rules follow your business hours and team structure. Billing questions can go to the office manager, urgent service calls to the on-call technician's mobile, and existing clients to their account manager. If nobody picks up, the AI returns to the caller, takes a structured message and creates a callback task in HubSpot, Salesforce or your ticketing tool. You can also give callers a phrase such as asking for a person, which triggers a transfer immediately.

Multi-location businesses get one more layer. The AI asks which branch the caller wants, or reads it from the number they dialed, then applies that location's hours, staff list and booking calendar. A weekly report shows calls answered, bookings made, transfers attempted and transfers missed per location, so you can see where staff coverage, not the AI, is the bottleneck.

Can an AI answering service cover after-hours calls?

Yes, and after-hours is often the simplest place to start. An AI answering service answers nights, weekends and holidays with the same knowledge as daytime, books into the next open slot and saves genuine emergencies for the on-call person.

We set an after-hours mode with its own rules: which requests can be booked, which go to an urgent line, and which get a promised callback time. Each morning your team gets a list of overnight calls with summaries and outcomes, instead of a voicemail inbox to work through.

Is an AI receptionist HIPAA compliant, and what about call recording?

It can be, if every vendor in the chain that touches protected health information signs a Business Associate Agreement. Major model vendors sign BAAs only on certain API or enterprise tiers, not consumer plans, and voice platforms differ: some sell HIPAA coverage as a paid add-on, while Bland AI includes a BAA on its Enterprise plan. We choose the stack so the BAA chain is complete before any patient call is taken.

Recording has its own rules. States with two-party consent requirements for call recording also apply to AI receptionists that record calls, so the greeting tells callers the call is recorded. Some states also require disclosure that the caller is speaking with an AI, under laws such as Utah's AI Policy Act and California's bot disclosure law. We build these disclosures into the script by default. This is not legal advice; your counsel should confirm the rules for your states and sector.

Which platforms do you build an AI phone answering service on?

We build on voice agent platforms such as Vapi, Retell AI, ElevenLabs Agents and Bland AI, with Twilio numbers and your choice of model behind the conversation. Platform choice depends on voice quality, latency, BAA availability, transfer features and per-minute cost at your call volume.

Your existing numbers can usually stay the same: we forward them, or port them to a Twilio account in your name. For the per-minute rates the main platforms publish and how they compare with packaged answering services, see our AI receptionist cost guide.