AI Call Routing and Virtual Receptionist
A voice system that answers every inbound call, identifies the reason for the call and sends the caller to the right person, queue or answer.
The problem
In many businesses the main phone line is answered by whoever happens to be free. Callers get transferred to the wrong person, repeat their details two or three times, or wait in a queue only to be told they rang the wrong number. Staff are interrupted all day by calls that do not need them, such as opening hours, order status or delivery questions.
A traditional phone menu (press 1 for sales, press 2 for support) only partly helps. Callers often do not know which option fits their problem, so they pick the wrong one or press zero. A virtual receptionist built on conversational voice AI lets people say what they need in their own words and handles the routing decision for them.
What it automates
Answering every inbound call straight away, without a hold queue for the first interaction
Understanding the reason for the call from natural speech rather than a keypad menu
Collecting basic details such as name, company, order or account reference before transferring
Warm-transferring to the right person or team with a short summary of what the caller said
Answering simple, repetitive questions directly from your approved information
Logging each call, its outcome and a transcript or summary to your CRM or helpdesk
How it works
Map your call types
We start with a sample of real calls and list the reasons people ring, who should handle each one and what the caller must provide first. This becomes the routing logic.
Build the conversation
We design the greeting, the questions and the answers the system may give. It is limited to information you approve, and it is told when to stop and hand over.
Connect your phone system and tools
The voice system is connected to your telephony and to the systems it needs to read from or write to, such as a CRM, order system or calendar.
Test with real scenarios
We run realistic calls, including unclear speech, interruptions and off-topic requests, and adjust prompts and fallback rules before go-live.
Review and refine
After launch we review call logs together, look at misrouted or escalated calls and tune the flow as your business changes.
A good fit when
Your team spends a noticeable part of the day answering or redirecting calls that do not need their expertise
Callers regularly reach the wrong person or department and have to be transferred
You already know the main reasons people call and who should handle each one
You have a phone system that can forward calls to a number or SIP endpoint
Honest limits
It works best on a defined set of call types. Unusual, emotional or complex calls should be handed to a person, and we set escalation rules for that.
Speech recognition can struggle with heavy background noise, strong accents or poor lines, so some callers will need to be transferred or asked to repeat themselves.
You remain responsible for call recording notices, consent and data protection obligations. We can build in the wording, but compliance stays with you.
Built by
Real builds
Where this applies
Frequently asked questions
What is an AI virtual receptionist?
It is a voice system that answers inbound calls, understands what the caller wants through natural conversation and then routes the call or answers directly. It does the front-desk work of greeting, screening and directing, so staff only take calls that need them.
How is this different from a phone menu?
A phone menu makes callers choose from options that may not match their problem. A conversational system lets them describe it in their own words, asks follow-up questions if needed and decides where to send the call, which usually reduces misrouted transfers.
Can it transfer a call to a real person?
Yes. It can transfer to a named person, a team or a queue, and pass along a short summary so the caller does not repeat themselves. You define when it should transfer, including whenever a caller asks for a human.
Will callers know they are speaking to an AI?
We recommend telling callers clearly at the start of the call. It builds trust, and depending on your sector and jurisdiction you may have disclosure obligations. We can write the greeting accordingly, but you should take your own advice on requirements.