AI receptionist

An AI receptionist that answers every call and books the appointment

The phone rings while your receptionist is with a client. The caller hangs up and books somewhere else. An AI receptionist picks up every call, including at night, at weekends and when every line is busy. It answers the usual questions, books, moves or cancels the appointment in your calendar, takes a message, and puts the call through to a person when it should.

Price agreed before the buildSix-month warrantyAnswers 24/7Books into your calendarTransfers to staff
Try the agent logic

The same agent logic, in chat.

On your phone line the receptionist answers from the same approved information, books into the same calendar and transfers the same way.

It’s live — try it right here, nothing saved.

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Hi! I'm Pazl's assistant — the same kind we build for clients. Ask me about our services, pricing, process or your idea
What you get

What it handles on every call

  • Answers the questions you hear every day

    Opening hours, address and parking, prices, what to bring, whether you take a certain insurance or do a certain treatment. The receptionist answers from the information you approve, in your tone. It does not improvise answers it doesn’t have.

  • Books, reschedules and cancels

    It offers real free slots from your calendar or booking software, books the right service with the right person, and sends a confirmation. When a client calls to move or cancel, it follows your rules, for example the notice period or the deposit. A freed slot can go to the next person on your waiting list.

  • Takes messages and routes calls

    A supplier, a complaint, a question only the owner can answer: the receptionist takes the details, writes a short summary into your CRM or inbox, and tells the caller when they’ll hear back. If you want, urgent topics go straight to a person’s phone.

  • Transfers to your staff when it matters

    A caller asks for a person, the request is outside the rules, or the caller is upset. The call is transferred with a summary, or a callback is booked. Your team decides where that line is, and it can be changed after launch.

Built for your kind of front desk

A general AI receptionist knows how to answer a phone. A receptionist for your business knows your services, your people and your booking rules. That is the part we set up.

For clinics and medical practices

Patients call to book, move an appointment, ask about prices or find out whether a doctor is in today. The receptionist books by doctor, location and visit type. It asks only what the visit needs and sends a reminder. Anything that sounds like a medical question or an emergency goes to a person, or the caller is told to call emergency services. It never gives medical advice. Personal data is handled under GDPR, with EU hosting available.

We have built the booking side of this for a family clinic: doctors available today, prices shown before booking, and a front-desk admin with the day’s schedule and a waiting list. The receptionist writes into the same kind of schedule.

Clinic front-desk admin with the day’s schedule and waiting list

For salons, spas and studios

Most calls are “can I come in on Saturday?”. The receptionist knows which stylist or instructor does what, how long each service takes, and what can’t be booked back to back. It fills the gaps: when someone cancels, the slot can go to the waiting list. That is the same logic as the waiting list in the studio app we built.

Studio booking app with a waiting list that fills cancelled slots

For restaurants and cafés

During service nobody has time for the phone. The receptionist takes table bookings within your rules for party size and times, answers the menu, allergen-policy and opening-hours questions from your own information, and passes large group or event enquiries to the manager. Takeaway and delivery orders by phone are scoped separately.

Other businesses with a busy phone

Home services, repair shops, agencies, property management: wherever calls follow a pattern and end in a booking, a message or a transfer, the same setup works.

Ready-made AI receptionist service or one set up for you

Several phone and video providers now sell an AI receptionist as an add-on. For a lot of small businesses that is a good start. Here is how to tell which you need.

  • Setup

    Ready-made AI receptionist service
    Self-service: fill in a profile and FAQs
    Set up for your business (Pazl)
    We build it from your services, rules and real calls
  • Booking

    Ready-made AI receptionist service
    Often a link sent by text, or its own calendar
    Set up for your business (Pazl)
    Books directly into your calendar, booking software or CRM through their APIs
  • Your rules

    Ready-made AI receptionist service
    General options
    Set up for your business (Pazl)
    Your durations, staff, notice periods, deposits, waiting list
  • Hand-off

    Ready-made AI receptionist service
    Transfer to a number
    Set up for your business (Pazl)
    Transfer or callback, with a summary written where your team works
  • Pricing

    Ready-made AI receptionist service
    Monthly subscription, often per call or minute
    Set up for your business (Pazl)
    Development quoted up front; telephony and model usage billed at cost
  • Best for

    Ready-made AI receptionist service
    Answering FAQs and taking messages
    Set up for your business (Pazl)
    A front desk whose calls end in a booking or an action in your systems

If a ready-made service covers your calls, use it. We’ll tell you so. If you need the receptionist to work inside your own booking and CRM setup, that is what we build.

How calls reach it

You don’t have to change your number. The usual setups:

  • All calls. The receptionist answers first and transfers when needed.
  • After hours. Your team answers during the day, and the receptionist takes evenings, nights and weekends.
  • Overflow. It picks up only when your lines are busy or nobody answers after a few rings.

Calls are forwarded from your current number through your phone provider. A new number is also possible. We check the options in the scope. For the technology behind it (speech recognition, the language model, the integrations), see our page on AI voice agent development.

Want clients to book without calling at all? The same rules can drive booking on your website and in WhatsApp. See the online booking system.

AI receptionist cost

Price agreed before the buildfor an AI receptionist on one phone line, with your services and rules, booking into one calendar and transfer to your staff.

Telephony and model usage are billed at cost and listed separately, so you see what a minute of calls costs you. Number setup and call testing are part of the build.

Six-month warranty. Coverage and ongoing support are set out in your project agreement.

What changes the estimate

  • The number of services, staff and locations
  • The calendar, booking software or CRM it has to work with
  • Which calls it takes: all calls, after hours or overflow
  • The languages it answers in
  • Whether it also works in chat, which uses the same knowledge and rules
How it works

From your phone line to go-live

  1. Tell us how your front desk works

    Tell us which calls you get most, how you book, which calendar or software you use and when a call must go to a person. A short message is enough to start.

  2. Agree the scope and quote

    We fix the call types, the booking rules, the hand-off rules and the systems to connect. You get the price and the delivery plan before development begins.

  3. Set up, connect and test

    We set up the receptionist’s knowledge and rules, connect your calendar or CRM, set up the number and call forwarding, and test it on real call scenarios. You and your team call it before any client does.

  4. Go live step by step

    Start with after-hours or overflow calls. Your team reads the transcripts in the first weeks, and the rules are tuned on real calls. Then the receptionist can take more.

Technologies

The stack we build with.

TypeScriptReactNext.jsNode.jsPythonFastAPIPostgreSQLMongoDBPrismaTailwindJavaScriptSwiftKotlinFlutterUnityStripeTelegramAWSVercelTypeScriptReactNext.jsNode.jsPythonFastAPIPostgreSQLMongoDBPrismaTailwindJavaScriptSwiftKotlinFlutterUnityStripeTelegramAWSVercel
FAQ

Fair questions, straight answers.

An AI voice assistant on your phone number. It answers calls, tells callers what they need to know, books, moves and cancels appointments, takes messages, and transfers to a person on request or by rule. It can work around the clock or only when your team is busy.
Yes. It introduces itself, and anyone who asks for a person is transferred or offered a callback. People mind voicemail and busy lines far more than a quick, honest assistant.
Yes, if the system has an API. Google and Microsoft calendars, Calendly and many practice and salon systems do. The receptionist reads real availability and writes the booking there, so there’s no second diary. If you don’t have booking software, we can build the schedule too.
Yes. Calls are forwarded from your number: all of them, only after hours, or only when your lines are busy.
They go to a person: by transfer, or by a callback with the details and a summary written into your CRM or inbox. You set the rules, and every question it couldn’t answer is listed so it can be covered next time.
It books, answers practical questions and routes calls. It does not give medical advice, and anything urgent or clinical goes to a person. Personal data is handled under GDPR, with EU hosting available. What it stores and where is set in the scope.
The languages your callers use. We agree the set in the scope and test each language on real calls.
A human answering service takes a message. An AI receptionist can also finish the job on the call: book the slot, move an appointment or answer the question from your information, at any hour.

Tell us which calls you miss

Send us your opening hours, your top ten caller questions and the calendar or software you book in. We’ll set out what the receptionist would handle, what stays with your team, and what it costs to build and to run.