What an AI receptionist is
It is a voice system that answers the phone, understands what the caller says and speaks back. Connected to your CRM and automations, it turns a call into a lead with its details, without anyone taking notes.
We have built a system like this and use it every day. What follows comes from that experience.
What it does well
It works best on clear, repetitive tasks:
- Answering when you cannot, including outside business hours.
- Taking details: name, phone number, area, service and reason for the call.
- Answering frequent questions with the information you have given it.
- Creating the lead in the CRM and alerting the operator.
- Keeping a record of each call.
What it should not do
An AI voice sounds confident even when it is wrong. That is why some tasks are best kept away from it:
- Giving final prices or negotiating, unless you have fixed rates and have provided them.
- Committing to dates or appointments nobody has confirmed.
- Advising on legal, medical or sensitive technical matters.
- Handling serious complaints or tense situations.
- Making up an answer. If it does not know something, it should say so and take a note.
Rules it must follow
Quality depends on the instructions. Each receptionist needs written rules, just like a new employee:
- Answer only with approved information.
- Read back key details, especially the phone number. AI can mishear a name or a number.
- Never reveal internal details, such as operators' phone numbers.
- Stick to its role and return to it if the conversation drifts.
How to test those rules
In our experience, rules of the "never do this" type need the closest watch. Test each one with calls that try to break it, and review transcripts regularly. The model you choose matters less than this testing.
Handing over to a person
An AI receptionist should never be a wall. Set out in writing when a person steps in:
- The caller asks to speak to someone.
- There is a real emergency.
- There is a complaint or the caller is upset.
- The AI still cannot understand the case after trying.
How the handover works
Depending on the business, it can transfer the call or send an instant alert with a summary. What matters is that the caller knows what happens next and that the operator gets the case without having to ask everything again.
Disclosing that it is AI
Callers should know from the start that they are talking to AI. It is the honest approach and it prevents misunderstandings. The EU AI Act also requires that people are told when they are interacting with an AI system, unless that is obvious. One clear sentence at the start is enough: "Hi, I am the company's virtual assistant. I am an AI and I will take your details so someone can call you back."
If you record or transcribe calls, say so and handle that data in line with the GDPR and any local rules that apply to you.
Where to start
Start with a narrow use case, such as the calls you miss today. Define the details you need, write the rules, test with real calls and measure how many end up as leads. If it works, you expand.
Connect it to your CRM from the start: a well-handled call loses its value if the alert never reaches the person who has to act. Also review the calls that did not become leads, because that is where you find the rules you are missing.