Your business doesn't stop at 5pm. Your phone coverage does. Every missed call after hours, during lunch, or on a bank holiday is a lead handed to whoever picked up first — and in most UK industries, that's your competitor. We build bespoke AI receptionists that answer every call inside two rings, 24/7, in your brand voice.
45–60 min · Free · No pitch
An AI receptionist is a bespoke AI voice agent that answers your inbound calls 24/7, qualifies callers against your real criteria, and books straight into your calendar — in a voice trained on your brand. For UK businesses it replaces missed-call rot and after-hours leakage; the payback maths against a salaried receptionist is usually under 12 months. Builds ship in 4–6 weeks.
Examples — not a feature list. Yours is shaped by the bottlenecks the discovery call surfaces.
Greets the caller in your tone, asks your real qualification questions, captures answers in CRM-ready fields — not a generic "how can I help today?" script.
Books straight into your calendar respecting your availability rules, routing preferences, and buffer requirements. No double-bookings, no confirmation chase.
The 6pm, weekend, and holiday-cover calls that go to voicemail today — answered, qualified, booked or escalated, in the same conversation.
Out-of-scope callers get warm-transferred or message-routed to the right team member by topic, time of day, or any rule you specify — never stuck in "press 1".
Every call writes a structured record — caller, qualification answers, outcome, transcript — so the human picks up the conversation already in flight.
Twilio, Vonage, RingCentral, native SIP — we point your existing inbound number at the AI. No rip-and-replace of your telephony.
The pattern recurs across UK industries that share one trait: the cost of a missed call is high and the call volume is unpredictable.
An AI receptionist is only useful when it talks to the systems your team already runs. Standard integration shape:
A bespoke single-business AI receptionist sits in the low five figures for the build, plus ongoing per-minute telephony costs (typically £0.05–£0.15 per call minute). For a business taking 200–500 inbound calls a month, that's roughly £20–£70/month of running cost on top of the build. Compared with a £24k–£32k UK receptionist salary for business-hours coverage only, the payback is usually under 12 months — and the AI never goes on holiday.
Right now, while you're reading this, leads are arriving after hours. Some will wait. Most won't. Every week this runs unaddressed is a week of after-hours leads going to whichever competitor picks up first.
Full breakdown in the 2026 cost guide.
Every sector guide below is grounded in a live build, not a hypothetical use case.
All the deployed builds in this category are collected in the voice agent and AI receptionist case studies.
Calls after 5pm go to voicemail. A salaried receptionist can't cover after-hours, weekends, or holiday weeks — the callers who can't reach you book with whoever does.
Your reception team is competent and overstretched. They miss calls during lunch, training days, and the rush. The caller decides whether you're 'big enough' from your hold music.
Every inbound caller asks the same six questions before they reach the one that matters. Your most expensive people answer them — every time.
Qualified leads end up in three different inboxes, two notebooks, and nobody's CRM. Half get followed up. The other half become someone else's customer.
Every inbound call answered inside two rings, 24/7, in your brand voice.
The AI qualifies the caller against your real criteria, answers your standard questions accurately, and books straight into the right diary.
Qualified leads land in your CRM with the transcript, captured info, and a one-line summary by the time the call ends.
Out-of-scope callers get warm-routed to the named team member by topic and time — no voicemail rot, no 'press 1 for support'.
Ships a single voice and a single qualification script that fits the vendor's template.
Voice trained on your brand; qualification asks the questions your actual sales process needs, scripted with your team.
Why it matters: The caller hears your business — not "the receptionist tool the vendor sold us".
Calendar booking that fits a SaaS shape — Calendly-style availability with the vendor's routing rules.
Booking logic respects your real availability rules, routing preferences, buffer requirements, and multi-resource constraints.
Why it matters: A booking into the wrong slot wastes a sales hour. The right slot is worth more than a cheap call minute.
CRM integration writes a transcript blob and a generic "lead" record — your team has to re-key the structured fields.
Writes structured records — qualification answers, named fields, routing decisions — so the human picks up where the AI left off.
Why it matters: Handover quality is where most voice deployments quietly fail.
The capability pages below describe the actual build patterns we use to deliver this. Pick the one that matches the part of your operation you want to fix.
The full voice agent capability page — inbound, outbound, qualification, calendar integration.
The sister use case — booking flows tuned to your availability rules and routing.
Chat-based customer support automation. Often deployed alongside an AI receptionist.
The broader pillar — automating the repetitive cognitive work consuming your team.
The full implementation pillar — discovery, build, integration, deployment.
An AI receptionist answers every inbound call to your business — 24/7 — in a voice trained on your brand. It greets the caller, qualifies them against your real criteria (not a generic script), books straight into your calendar where appropriate, takes a message where it isn't, and hands off to a named team member with full context. The caller doesn't hear "please hold for the next available operator." They hear someone who already knows what the business does.
Off-the-shelf AI receptionists ship a single voice, a single qualification script, and a calendar booking flow that fits the SaaS template. A bespoke build is shaped around your sales motion: the voice matches your brand, the qualification asks the questions your actual sales process needs, the calendar logic respects your availability rules and routing preferences, and the CRM integration writes structured records — not just a transcript blob. You also own the deployment, not a vendor.
Two paths, both explicit. For booking-eligible callers, the AI books them in and the human follows up with full context. For callers outside the AI's scope, it takes a message and routes to a named team member by topic, time of day, or whatever rule fits your operation. Callers never get stuck in a loop or pushed to "press 1 for support, press 2 for sales" — the fallback is a real human, fast.
A focused AI receptionist for a single business ships in 4–6 weeks from signed scope. That includes the voice cloning or voice selection, the qualification script tuned against your real call data, calendar and CRM integration, soft launch in shadow mode, and live cut-over with monitoring. Multi-location or multi-brand deployments take longer.
A bespoke single-business AI receptionist is low five figures all-in for the build, plus ongoing per-minute telephony costs (typically £0.05–£0.15 per call minute depending on call volume and voice quality). Compared with a £24k–£32k salary for an in-house receptionist covering only business hours, the payback maths is usually under 12 months. The discovery call gives a specific costed range for your situation.
The brief is up to you. Some businesses disclose explicitly ("you're speaking with our AI assistant — I can book you in or pass you to a colleague"). Others run the AI without disclosure for routine calls. The voice quality on modern systems is high enough that most callers don't notice if you don't mention it. Both approaches are valid; the right one depends on your brand and your regulatory environment.
Still have a question? Book a discovery call — direct line to me, Dean.
A 45–60 minute discovery call. We map the bottleneck, scope the build, and tell you what it would cost — including whether it's the right shape at all.
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