A salon and a veterinary clinic both want their phone answered. Almost nothing else about the two calls is the same.

The hardest decision on a call is industry-specific, which is why a general-purpose script is general-purpose in the wrong direction.

The reason a general-purpose phone script underperforms is not that it is badly written. It is that every industry's call has a different hardest decision, and a script optimised for none of them handles all of them adequately and none of them correctly. A veterinary line's hardest moment is deciding whether to send someone somewhere else immediately. A law firm's is capturing the parties before the facts. Those two requirements do not merely differ; they conflict.

What is the hardest decision, by industry?

One per trade, and each one is the thing the receptionist exists to get right. Everything else on the call is comparatively easy.

One industry, one hardest decision
IndustryThe decision the receptionist must get right
VeterinaryIs this an emergency, and is the right answer 'go elsewhere, now'?
Law firmsTake the parties before the facts, so conflicts can be cleared
Med-spasQuote the treatment, never answer the clinical question
Dental clinicsNever quote insurance coverage
Chiro, physio & massageWhich appointment type, and which payer
Home servicesNever commit to a price the site visit has not seen
Auto repair & collisionThere is a third party on the call: the insurer
Property managementEmergency or not, against a legal standard
Real estateThe referred caller matters more than the cold lead
RestaurantsMost calls are not reservations
SalonsBook the stylist, not just the service
Event & wedding venuesA five-figure sale made on feeling

None of these is the greeting, the voice or the list of services. All of them are judgement.

Why can't one script cover all of them?

Because several of the requirements actively contradict each other. A line built to be maximally helpful serves the med-spa badly. A line built to capture structured details first serves the distressed veterinary caller badly. Optimising for both produces a line that is mediocre at each.

Take helpfulness. A restaurant line should answer almost anything a caller asks (parking, dietary options, whether the patio is open) because answering is the service. A med-spa line answering with the same enthusiasm will eventually tell someone their medication is fine with filler. The same design instinct produces excellent results in one and a regulatory problem in the other.

Or take ordering. A trades line should get the callback number early, because the caller is on a noisy site and the call may drop. A veterinary line should not open by asking a panicking caller for a phone number. Both are correct, and no single ordering satisfies both.

Does industry alone settle it?

No, and this is the part that argues against a merely industry-specific template too. Two businesses in the same trade differ on the constraints that matter most: hours, staffing, which system they book in, what they are willing to commit to over the phone.

An Alberta med-spa with a prescriber on site full-time and one where the prescriber attends twice a week have identical regulatory obligations and different availability logic. A single-location salon and a three-location salon have different routing problems. Industry gets you most of the way to the right questions and none of the way to the right answers.

Which is the honest version of this argument: an industry-specific template beats a general one, and still needs the last mile done per business. That last mile is where the calls that matter are won or lost.

A restaurant line should answer almost anything a caller asks, because answering is the service. A med-spa line with the same instinct will eventually tell someone their medication is fine with filler - the same design produces excellence in one trade and a regulatory problem in the next.

Nick Lovett, Founder, AnswerAI

Each industry page works through that industry's hardest call properly, with the regulation and the numbers behind it.

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Where this argument is weakest

We build per industry, so this page argues for what we sell.

  1. We sell the thing this page argues for. AnswerAI builds custom lines rather than selling a configurable product, so this cluster describes our own commercial position. The arguments are made from mechanism and you should check them against a vendor who disagrees.
  2. The grid is a summary, not a specification. One line per industry compresses a great deal. The individual industry pages carry the actual reasoning and the sources.
  3. This list is ours, not the market's. These are the industries where we have the most depth, and not the limit of what we build. It is not a claim that other trades have simpler phones.

Questions this raises

Why can't one AI receptionist script work for every business?
Because the hardest decision on the call differs by industry, and several of those requirements contradict each other. A line optimised for restaurant helpfulness is actively wrong for a med-spa.
Is an industry-specific template good enough?
Better than a general one, and still short. Two businesses in the same trade differ on staffing, hours, booking systems and what they will commit to over the phone.
What is the most commonly underestimated industry?
Restaurants, in our experience: most calls are not reservations, and a line built assuming they are handles the majority of its traffic badly.
Do regulated industries need more customisation?
They need more careful refusal boundaries, which is a specific kind of customisation. The volume of decisions is similar; the cost of getting them wrong is not.
Where can I see the reasoning for my industry?
Each industry page works through that trade's hardest call, with the regulation and the numbers behind it.

Sources

  1. Health Information Act, RSA 2000, c H-5: s. 66, information managersAlberta King's Printer / CanLIIconsulted 2026-08-09
  2. Recording of Customer Telephone Calls: guidance for organizationsOffice of the Privacy Commissioner of Canadaupdated 2018-04-18, consulted 2026-08-09
Nick Lovett

Nick Lovett

Founder, AnswerAI

Nick Lovett builds AI receptionists for service businesses across North America, and writes these from the call data they produce. Lovett Ventures Inc., Calgary.

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