AI receptionist

AI receptionist

An AI receptionist that answers, books, and routes — without missing calls.

A missed call is missed revenue. An AI receptionist picks up every time, answers the routine questions in your business's own words, books appointments straight into your calendar, and hands the call to a person when it should.

What it handles

The calls that do not need a person.

A large share of inbound calls are the same handful of questions and requests. An AI receptionist takes those off the queue so your team is not interrupted for them — and so they are answered after hours and during a rush just as well as on a quiet Tuesday.

Answering routine questions — hours, location, services, pricing basics — in your own wording.
Booking, rescheduling, and cancelling appointments directly in your calendar.
Capturing the caller's name, number, and reason for calling into your CRM.
Routing or transferring the call by your rules — by department, urgency, or account.
Covering evenings, weekends, and holidays without a change in service.
Sending an SMS follow-up with a booking link or the information promised on the call.

Where a person still wins

What we deliberately keep off it.

An AI receptionist is not a replacement for judgement. Complex or emotional conversations, high-value sales discussions, disputes, and anything needing access it should not have are scoped out from the start and handed to a person with the call context attached.

The boundary is written down during scoping, so both sides know exactly what the assistant does and does not take.

How it compares

AI receptionist, answering service, or a hire.

Most businesses end up with a mix. This is the honest trade-off between the three.

AI receptionist

  • 24/7, no change in service after hours
  • Books directly into your calendar
  • Consistent answers every time
  • ~$100–$500/mo after setup
  • Needs a clear human escalation path

Live answering service

  • Real people, usually message-taking only
  • Limited or no direct booking
  • Billed per minute — cost scales with volume
  • Little knowledge of your business
  • Good as overflow, weak as the front door

Full-time receptionist

  • Best for nuance and high-value calls
  • Business hours only without extra hires
  • $3,000–$5,000+/mo plus onboarding
  • One point of failure when out
  • Overqualified for routine call volume

What it costs

Setup once, then a predictable monthly.

Setup is typically $2,500–$8,000, set by how many systems it connects to and how much custom conversation design it needs. Running cost is usually $100–$500 a month in platform and usage fees.

Against $3,000–$5,000+ a month for a full-time hire, or per-minute billing on a live answering service, the payback is usually quick for any business taking a steady volume of routine calls.

How the work runs

From call log to live, in a few weeks.

It goes live behind a monitored fallback, so a missed intent routes to a person while the assistant is tuned.

1

Map the calls

Review a sample of real calls to see what actually comes in and how often.

2

Script & connect

Write the responses in your language and connect the phone system, calendar, and CRM.

3

Test

Run it against real call types — including the awkward ones — and fix what they expose.

4

Launch

Go live with monitoring and a human fallback, then tune from the first weeks of real calls.

Questions

About AI receptionists

Setup is typically $2,500–$8,000 depending on how many systems it connects to — phone, calendar, CRM — and how much custom conversation design it needs. Running cost is usually $100–$500 a month in platform and usage fees. For comparison, a full-time receptionist is commonly $3,000–$5,000+ a month, and a live answering service is usually billed per minute.

For different things. An AI receptionist wins on cost, on 24/7 coverage, and on never missing a call or giving an inconsistent answer to a routine question. A human wins on nuanced, high-value, or emotional conversations. The right setup uses the AI receptionist for the routine volume and hands anything outside its scope to a person, cleanly.

Yes — we design it to be upfront about being an automated assistant. Trying to pass it off as human tends to backfire the moment a caller hits an edge case, and it is a poor reflection on the business.

It recognises when a request is outside its scope, when a caller asks for a person, or when its confidence is low, and transfers the call or takes a message with the context attached — rather than looping. That escape path is part of the build, not an afterthought.

Most modern VoIP and cloud phone systems, plus the common booking and CRM tools. We confirm the specific integrations during scoping and tell you early if something in your stack does not expose a usable interface.

Usually two to five weeks: mapping the call types, scripting the responses in your business's own language, connecting the phone, calendar, and CRM, and testing against real call scenarios before it goes live with a monitored fallback.

How many calls go to voicemail each week?

Tell us roughly what your inbound calls look like and we will tell you whether an AI receptionist fits, and what setup would involve.