Plan an AI receptionist that answers routine calls and hands off the rest

Front desks spend most of the day on the same five questions. A voice agent can answer those and take booking requests, as long as it knows exactly when to hand the call to a person. Most of the work is the call script and the handoff rules, which you can draft today.

By The Workshaped Lab·Autonomy: act with approval·Prompt tested 14 Oct 2026
A voice-agent service (e.g. Retell, Vapi, your phone provider's AI)Booking systemAny chatbot for the call script
Who it's forClinics, dental and physio practices, salons, law and accounting offices, trades with a busy phone line.
AutonomyAct with approval. Nothing is sent, posted or booked without a person.
TierAgentic flow
ProvenanceIdea, prompt tested on synthetic data.

The problem

Clinics, practices and service businesses miss calls at peak times and lose bookings, while staff repeat opening hours, prices and directions all day. Voice agents can help, but a badly scoped one frustrates callers or gives answers it shouldn't (medical advice, prices it made up).

Why it works

The safe version is narrow: a fixed list of questions it may answer from a fact sheet you wrote, a booking request it collects but a person confirms, and clear triggers to transfer (anything clinical, angry callers, unclear requests). Writing that script and fact sheet is the part a chatbot can help with today; any voice-agent tool can then use it.

The rule we build by: the model reads; code decides anything involving money, dates, matching or what's true; a person approves.

Step by step

  1. List the 10 most common calls from a week of call notes.
  2. Write a fact sheet: hours, address, parking, services, prices you publish, cancellation policy.
  3. Write the call script: greeting, the questions it may answer, how it collects a booking request (name, number, reason, preferred times).
  4. Write handoff rules: always transfer anything clinical, urgent, a complaint or anything not in the fact sheet.
  5. Test the script by role-playing 20 calls in a chatbot, then load it into a voice-agent tool on a test number.
  6. Go live for overflow calls only, and review recordings weekly.

Pitfalls to avoid

  • Healthcare: it must never give medical advice or triage; transfer and give the emergency number.
  • Recording and privacy rules: tell callers they're speaking to an AI and if calls are recorded; check HIPAA/BAA terms with the vendor before handling patient details.
  • Bookings must be requests a person confirms until you trust it.
  • Costs are per minute (typically several cents a minute); start with overflow only.

Free · Kickstart prompt

Get a rough first version today

Paste this into Claude, ChatGPT or Grok with your own data. It gets you a useful first pass, not the tested setup.

I run a [TYPE OF BUSINESS] and want an AI voice receptionist for routine calls. Here are our facts (hours, address, services, published prices, policies):
[PASTE FACTS]
And the most common reasons people call:
[PASTE LIST]
Write:
1. A call script: greeting that says it's an AI assistant, how it answers each common question using ONLY my facts, and how it collects a booking request (name, phone, reason, 2 preferred times) without confirming a time.
2. Handoff rules: an exact list of situations where it must transfer to a person or give the emergency number, including anything medical, urgent, a complaint, or not covered by my facts.
3. 10 test calls (caller lines only), including 3 tricky ones, so I can role-play it before going live.
Never make up prices, availability or advice that isn't in my facts.
Check every result by hand. Don't paste account numbers or anything you don't need to share.

✓ Prompt tested 14 Oct 2026: we ran it with gpt-5-mini on a synthetic sample and checked the output by hand.

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