What is an AI receptionist? A guide for UK trade businesses

What is an AI receptionist?

An AI receptionist is software that answers your calls and messages on behalf of your business - 24 hours a day, every day - using natural-sounding voice and chat. It greets the caller, takes a message, captures the details you need, and passes them to you.

It is not a chatbot bolted to a website. It is the thing that picks up when a customer phones your business at 9pm on a Saturday and you are at your son's birthday party.

For UK tradespeople, the comparison most people care about is AI receptionist (£49–£149/mo) versus human-answered services like Moneypenny (£100–£500/mo). Both do the same fundamental job - they make sure a customer who phones or messages doesn't get voicemail and lose interest. They get there differently.

The three types of inbound an AI receptionist handles

For a small UK trade business, inbound enquiries arrive on three channels, in roughly this volume order:

WhatsApp messages - the customer texts your business number, often with a photo of the job. This is the fastest-growing channel for trades and the one Qenn is built around.

Phone calls - still common, especially with older customers and emergency work. An AI receptionist takes the call, takes the message, and passes it to you.

Website enquiries and emails - the slowest-moving channel, but still where some leads come from.

A good AI receptionist handles all three the same way: identifies the caller, captures the job details, confirms it's been received, and gets the information to you with enough context that you can act on it.

What an AI receptionist actually does on a call

The five things that need to happen on a typical inbound trade call:

Greet professionally - in your business name, not "thank you for calling, please hold."

Capture the caller's name - and check the spelling if it's not obvious.

Get the callback number - read it back digit by digit to confirm.

Listen for the reason for calling - and recognise emergencies (leaks, no heating, flooding) with appropriate priority.

Close warmly - confirm the message is going to the owner, set the expectation for callback timing.

That is the entire job. The good AI receptionists do these five things well. The bad ones get stuck on the second one.

Where AI receptionists are strong

Cost. Roughly a quarter of the price of a human service. For a sole trader, the difference is £1,000–£3,000 a year.
Availability. 24/7. No sick days, no breaks, no holiday cover.
Consistency. The same opening line every time, the same closing, the same intake structure.
Volume. Won't get flustered when six leads come in at once.
Integration. Can hand the intake details straight to your WhatsApp, your CRM, or your accounting software. A human receptionist sends an email.

Where AI receptionists are weak

Honest list:

Live call transfer. Some AI services can do it. Most can't yet. If you need a receptionist to transfer a serious enquiry to you in real time, a human service is better.
Complex conversations. If a customer wants to chat through their kitchen plans for ten minutes, a human will hold that conversation better than an AI.
Judgment calls. "Should I tell this caller our prices?" "Should I escalate this complaint?" A human reads the situation better.
Reassurance for high-value calls. If you're a private dentist whose £8,000 referrals come in by phone, a human receptionist sounds more reassuring. For a tradesperson, the calls are mostly lead capture, where AI is fine.

How Qenn does it

Qenn's AI receptionist runs on the same dedicated WhatsApp number that you use as your business line. When a customer calls that number, Qenn answers in voice. When they text it, Qenn answers in WhatsApp. Both feed back to you on the same channel.

The opening line on a call is "Hi, thanks for calling [Your business]. [Your first name] is unavailable right now, but I can take a message and make sure it gets to them. What's your name?" - positioning as your PA taking a message, not pretending to be the firm's receptionist. Then the five-step intake: name, number, reason, anything else, warm close.

The intake lands with you as a WhatsApp summary. You see who called, why, and what to do next. No voicemail to wade through.

Is an AI receptionist right for your business?

A quick decision tree. If you can answer "yes" to most of these, it's a fit:

You miss calls regularly because you're on the tools.
Most of your inbound is lead capture, not bespoke consultation.
Your customers already prefer WhatsApp.
Spending £100/month or more on a human service is not comfortable.
You'd happily trade a slight reduction in call warmth for a substantial reduction in cost.

If you tick three or more, an AI receptionist is probably right. If you tick fewer, look at the full comparison with Moneypenny before deciding.