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What is an AI receptionist and what can it do?
Answering the phone in the evening and on weekends without a new hire: what the technology does, and what needs guardrails.
An AI receptionist is a conversational agent, by voice or text, that answers a business's calls and messages: it understands the request, asks the right questions, gives basic information and offers an appointment or hands off to a person. Current versions are usually built on a large language model connected to the business's own information.
In short
- It is a conversational agent, often with a voice interface.
- It should answer from an approved knowledge base, not from the model's memory.
- Handing off to a person must stay possible at all times.
- Pilotiko's phone AI receptionist is planned and not available yet.
How is an AI receptionist different from voicemail?
Quebec's OQLF defines a conversational agent as one that can hold a two-way exchange with a user in natural language, through instant messaging or a voice interface. The simplest follow rules and pick an answer from a finite set; the most advanced are intelligent agents built on a large language model [1].
Voicemail records a message. A phone menu asks callers to press a number. An AI receptionist understands a sentence like my water heater has been leaking since this morning and carries on: address, urgency, availability.
What happens during a call handled by an AI receptionist?
For a service-centre type of use case, Quebec's guide on agentic AI lists minimum guardrails: an approved knowledge base, logging, and transfer to a human when needed [2].
- 1
Greeting
It introduces itself as an automated assistant and asks why the person is calling.
- 2
Qualifying
It asks the questions the business set: type of service, address, urgency.
- 3
Informing
It answers from an approved base: hours, service areas, starting prices.
- 4
Offering
It proposes a genuinely open slot or logs the request for a call-back.
- 5
Handing off
It transfers the call to a person as soon as the case falls outside its script.
In-house, answering service or AI: what should you compare?
| Criterion | In-house receptionist | Answering service | AI receptionist |
|---|---|---|---|
| Hours covered | Office hours | Depends on the plan | Depends on setup, evenings included |
| Simultaneous calls | One at a time | Depends on the service's staffing | Several at once |
| Unexpected cases | Excellent judgment | Varies | Limited: needs a hand-off |
| Access to the real calendar | Yes | Often not | Only if connected to it |
Qualitative comparison; check each provider's actual terms.
How many after-hours calls does a small business miss?
Which rules and mistakes should you know about?
An AI receptionist collects personal information: names, addresses, sometimes details about a home. Since Quebec's Law 25, a business must tell people at the time of collection about, among other things, the purposes and means of collection and their rights of access and correction [3].
- Letting callers believe they are talking to a person.
- Letting the model invent a price or lead time because the knowledge base is out of date.
- Removing the hand-off to save time: urgent cases suffer.
- Booking into a calendar that is not the real one, creating double bookings or a no-show.
- Keeping no log of handled calls, which makes errors impossible to fix.
Does Pilotiko offer an AI receptionist?
Available today: online booking on real open slots and AI agents that prepare work, with a person's approval before anything is sent. Email and text confirmations and reminders are being commissioned: nothing is sent yet.
Frequently asked questions
Can an AI receptionist book appointments?
Yes, if it is connected to the business's real calendar and can see open slots. Otherwise it can only log the request for a call-back. Confirm that connection before relying on the tool.
Should callers be told they are speaking with AI?
It is the honest approach and avoids misunderstandings. Callers should also be able to ask for a person. In Quebec, the business must in any case tell people why their personal information is being collected.
Can an AI receptionist handle Quebec French?
Recent models handle French well, but accents, local expressions and job-site noise can cause errors. Test the tool with real calls before trusting it with your main line. Always keep a hand-off to a person.
What does an AI receptionist do with an emergency?
It should recognize one from keywords and set questions, then transfer immediately to an on-call person. An AI should never decide on its own that a gas leak or water damage can wait.
Does an AI receptionist replace front-desk staff?
It mainly covers the moments when nobody can pick up: evenings, weekends and simultaneous calls. Delicate cases, unhappy customers and decisions are still better handled by a person, in line with human-in-the-loop practice. Think of it as extra coverage.
Sources
- Office québécois de la langue française (Vitrine linguistique), agent conversationnel (GDT) (accessed on October 15, 2026).
- Ministère de la Cybersécurité et du Numérique (Gouvernement du Québec), Guide sur l'utilisation responsable de l'intelligence artificielle agentique (accessed on October 15, 2026).
- Commission d'accès à l'information du Québec, Principaux changements apportés par la Loi 25 (accessed on October 15, 2026).
Read next
What is an AI agent?
An AI agent pursues a goal by chaining steps and tools on its own. Definition, the agent loop, a worked example for a Quebec SME and the guardrails it needs.
No-show rate: what does it actually measure?
What a no-show rate is, how a Quebec service business calculates it, what missed appointments really cost in lost slots, and the mistakes that skew the number.
Quebec Law 25: what changed for small businesses?
Quebec's Law 25 explained for small service businesses: the person in charge, consent, incidents, automated decisions, penalties and a costed starter checklist.
Large language model (LLM): how does it work?
What a large language model is, how it writes by predicting tokens, where it helps a service SME, a worked example and the limits to know before adopting one.