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AI4 min read

What an AI receptionist should handle, and what it shouldn't

By the Reveal Web Services team

A customer calls while you are on a job. You cannot answer, and by the time you call back they may have found someone else. That is a real problem. AI can help with it.

But putting a bot on the phone is not the same as having a reliable receptionist. What it knows, what it is allowed to do, and how it gets a person involved matter more than how natural the voice sounds.

Start with the repeat questions

Good starting tasks include explaining your services, checking whether you cover an area, collecting contact details, and taking a clear message. If booking is connected and configured properly, the receptionist may also help a customer choose an available appointment.

Be specific about what “booking” means. Taking an appointment request is different from reserving a confirmed slot. Customers should know which one happened, and your team should be able to see it.

Do not make pricing, availability, or emergency promises unless the system has accurate information and permission to do so. When a quote depends on inspecting the job, the right answer is to arrange the next step, not invent a number.

Give it accurate business knowledge

Your website can help with training, but it may not include all the rules your office uses. Write down the information callers need and the boundaries a receptionist must follow.

A service-area business should explain exactly which cities it covers and which services are available in each. Include after-hours handling, cancellation rules, and what happens when the normal contact person is unavailable.

  • Current services and services you do not offer.
  • Hours, coverage area, and approved booking rules.
  • Which questions require a quote or on-site assessment.
  • The person or process for urgent and sensitive calls.
  • What information to collect and what not to collect.

Keep a clear path to a person

Complaints, unusual requests, and callers who want a person need an understandable handoff. Decide whether that means a transfer, a callback request, or a notification to your team. Test it rather than assuming it works.

For health, legal, financial, or safety-sensitive businesses, set tighter limits. The receptionist should not diagnose a problem or provide professional advice. Emergencies need an appropriate emergency instruction, not an ordinary appointment flow.

Be transparent that the caller is interacting with an automated assistant. If calls are recorded or transcribed, review applicable notice, consent, and privacy requirements. California has strict rules around recording confidential conversations. Get qualified advice for your specific setup.

Test the calls that are not easy

Try the normal call first: someone asks about a service and wants an appointment. Then try a caller outside your area, someone asking for a service you do not offer, and someone who changes their mind halfway through.

Check the record your team receives. Is the number correct? Is the reason for calling clear? Did the appointment actually appear where it should? A smooth conversation is not enough if the useful information never reaches the business.

Start with a manageable rollout and review the conversations you are permitted to access. Correct recurring mistakes in the business knowledge or call rules. Changes to hours, services, or staffing should trigger an update too.

Check the allowance and ongoing support

Around-the-clock availability does not mean unlimited phone usage. Ask about included minutes, expected call length, extra usage charges, and what happens at the allowance limit. Understand texting and number costs too.

Reveal Full Service includes a local phone number and 300 minutes per month, alongside the other AI assistants. Our team configures the assistants and reviews and fine-tunes them monthly. Talk through your expected volume before deciding whether it fits.

The bottom line

Use AI for routine calls, give it firm boundaries, and test the handoff. A real person should still be accountable for what happens next.

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